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    A man in a light blue shirt smiles while working at a dual-monitor setup in a bright, modern office. Green plants and large windows create a relaxed atmosphere.

    Lead with clarity. Decide with confidence.

    Strengthen the habits and mindset that drive steady leadership. In Kelley’s Leading with AI: Self-Leadership course, you’ll develop self-leadership, greater emotional intelligence, connect values to action, and use AI as a tool to magnify your best instincts.

    Register now

    1. Home
    2. Executive Education
    3. Professional Development
    4. Leading With AI
    5. Self-Leadership
    • Accounting
    • AI Strategy for Executives
    • Critical Thinking
    • Finance
    • Influence
    • Leading Change
    • Managing People
    • Marketing
    • Negotiation
    • Project Management
    • Self-Leadership
    • Strategy

    Leading with AI: Self-Leadership

    Self-leadership is the engine that drives clear judgment, steady behavior, and real follow-through, and AI can help achieve these goals. This AI leadership course strengthens the leader behind the decisions, boosting self-awareness, clarifying values, setting goals, and building emotional intelligence while using AI to make the work faster, clearer, and more consistent.

    Hybrid course schedule

    Session 1: Self-paced, online GenAI 101
    July 29: In person from 9 a.m. to 4 p.m. at 16 Tech in Indianapolis
    August 5: Live virtual, 9 to 11:30 a.m. via Zoom
    August 12: Submit project for digital badge (optional)
    Fee: 
    $1,495 per person (IU alumni, IU staff, and team discounts available)

    Register

    Learning objectives

    Through hands-on AI training, exercises, and faculty-led discussions, you’ll learn to:

    • Find your blind spots: Use guided self-assessments, reflection prompts, and pattern spotting to locate areas for self-improvement.
    • Clarify what matters: Connect personal values to everyday choices and trade-offs.
    • Set goals that stick: Translate priorities into habits, checkpoints, and accountability.
    • Build emotional intelligence: Generate personalized communication representatives (chatbots), scenario walkthroughs, and feedback loops, augmented by AI for rehearsal and debrief.

    You’ll leave this AI leadership course with value-aligned goals, practical emotional intelligence tools, skills for self-management, and an Action Learning Project tailored to your role.

    Interested in bringing this program to your company or organization? Email kelleypd@iu.edu to discuss our custom program options.

    Want to learn more?

    Fill out the form below to request more information.

    Showcase your new skills

    Each course offers the opportunity to complete an optional Action Learning Project, applying course concepts to a real organizational challenge you face. Participants who complete this project earn a digital badge, a verifiable credential you can showcase on platforms like LinkedIn.

    AI Self-Leadership digital badge

    Build toward a professional certificate

    Complete four courses from the Leading with AI professional development series and earn the Kelley Professional Certificate in AI Leadership.

    Course outline

    Asynchronous, online introduction to the course, including short pre-reading assignments and an overview of GenAI

    Hands-on practice and peer discussion; one day, in person (Indianapolis)

    Use case clinic: 2.5 hours of live, online, instructor-led training

    Create and submit an Action Learning Project tailored to your organization

    Course details

    • Format: Combination of asynchronous online, live online, and in-person classes
    • Schedule: July 29 to August 12; in person in Indianapolis on July 29, live online on August 5 from 9 to 11:30 a.m. 
    • Discounts: Available for IU alumni, staff, groups of three or more participants, and purchases of four or more courses*

    *Purchase four or more courses in the Leading with AI series and receive a $1,500 discount. Pay a total of $4,480 (regularly $5,980), a 25% savings.

    Pencil and paper icon

    Access a customizable supervisor request letter to support your case for attending a Kelley professional development course.

    Leading with AI: An Interview with Professor Ray Luther

    In this webinar, Faculty Chair of Kelley Executive Education Programs Carolyn Goerner speaks with Professor Ray Luther about why effective AI leadership begins with self-leadership.

    As AI continues to reshape how work gets done, leaders must first develop the awareness, discipline, and judgment to use AI responsibly and effectively before expecting the same from their teams. This conversation explores self-leadership, recognition of personal blind spots, and the thoughtful use of AI as a decision-support tool for the foundation of credible, modern leadership.

    Designed for busy leaders navigating rapid change, this webinar offers practical insight into leading with clarity and confidence in the AI era.

    Description of the video:

    WEBVTT 1 00:00:02.445 --> 00:00:03.345 Hi, happy Tuesday. 2 00:00:04.045 --> 00:00:05.185 I'm Carolyn Goerner, 3 00:00:05.205 --> 00:00:07.065 and I'm delighted that you've joined us 4 00:00:07.125 --> 00:00:08.225 for this webinar today. 5 00:00:09.025 --> 00:00:12.185 I am not just a management professor here at the Kelley 6 00:00:12.185 --> 00:00:14.665 School, but I am also the faculty director 7 00:00:14.725 --> 00:00:16.905 for Kelley Executive Education Programs. 8 00:00:17.465 --> 00:00:19.785 I know that many of you probably went 9 00:00:19.785 --> 00:00:20.865 through the Kelley School, 10 00:00:21.385 --> 00:00:23.305 I might even have had you in I-Core, 11 00:00:23.965 --> 00:00:27.105 but are now as working professionals, looking for ways 12 00:00:27.135 --> 00:00:29.425 that you can continue to learn from Kelley, 13 00:00:29.765 --> 00:00:32.585 and that's where executive education comes in. 14 00:00:33.285 --> 00:00:37.545 We are excited to announce a new program for 2026 15 00:00:37.975 --> 00:00:40.465 that we believe will help you take your 16 00:00:40.465 --> 00:00:42.105 leadership into the future. 17 00:00:43.845 --> 00:00:46.745 AI is shaping how leaders work, how they think, 18 00:00:47.125 --> 00:00:51.505 how they make decisions, but our goal is not about making 19 00:00:51.525 --> 00:00:52.865 you a tech expert. 20 00:00:53.895 --> 00:00:57.865 What we strive to do in this series is to help you use AI 21 00:00:58.125 --> 00:01:00.185 to be a more effective leader. 22 00:01:00.925 --> 00:01:03.665 We basically want to be your partner in helping you figure 23 00:01:03.805 --> 00:01:07.025 out how to actually use this in your job. 24 00:01:07.925 --> 00:01:09.545 So that's where the Leading 25 00:01:09.545 --> 00:01:13.625 with AI series comes in, launching in February 2026. 26 00:01:14.375 --> 00:01:16.825 It's designed around real use cases, 27 00:01:17.485 --> 00:01:18.785 not just shiny new tools. 28 00:01:19.595 --> 00:01:23.265 We'll have a separate class for different functional areas, 29 00:01:23.415 --> 00:01:27.065 including AI for leadership, strategy, finance, 30 00:01:27.735 --> 00:01:29.825 negotiation, managing people, 31 00:01:30.645 --> 00:01:33.865 all other leadership applications, roughly one per month 32 00:01:34.095 --> 00:01:36.025 through the year of 2026. 33 00:01:36.815 --> 00:01:40.585 They will emphasize practical hands-on learning, 34 00:01:40.885 --> 00:01:42.505 really geared for busy leaders. 35 00:01:43.285 --> 00:01:45.385 Here's how each of the courses will work. 36 00:01:46.035 --> 00:01:49.105 First, you'll have asynchronous pre-work online. 37 00:01:49.495 --> 00:01:52.425 This gives you baseline knowledge and it's flexible, 38 00:01:52.425 --> 00:01:54.945 and when you complete it, I should note 39 00:01:54.945 --> 00:01:56.465 that you'll also have access 40 00:01:56.645 --> 00:02:00.625 to Kelley's now renowned GenAI 101 course. 41 00:02:01.655 --> 00:02:05.705 Then you'll have one day of instruction in Indianapolis 42 00:02:05.895 --> 00:02:07.785 with your professor. There, 43 00:02:07.785 --> 00:02:09.625 you'll be encouraged to bring something 44 00:02:09.625 --> 00:02:12.225 that you're actually working on in your organization 45 00:02:12.925 --> 00:02:15.865 and learn the different ways that you can think about 46 00:02:16.165 --> 00:02:18.345 and apply frameworks to the problem 47 00:02:18.345 --> 00:02:19.425 that you've brought to the table. 48 00:02:20.205 --> 00:02:24.265 The following week, you'll spend half a day online with 49 00:02:24.265 --> 00:02:27.025 that same professor really getting hands on 50 00:02:27.055 --> 00:02:30.865 with the various tools that you can use to help you work 51 00:02:30.865 --> 00:02:34.705 through this project and come up to a more robust solution. 52 00:02:35.495 --> 00:02:38.105 Finally, if you'd like to earn a digital badge 53 00:02:38.125 --> 00:02:41.105 for the class, you have the option of completing 54 00:02:41.105 --> 00:02:43.265 what we call an action learning project. 55 00:02:43.925 --> 00:02:46.025 That's where you actually apply 56 00:02:46.095 --> 00:02:48.785 what you've learned in the class to an issue 57 00:02:48.785 --> 00:02:49.825 that you have at work 58 00:02:50.485 --> 00:02:51.505 and show us 59 00:02:51.615 --> 00:02:55.585 that you are literally using the things that we have taught. 60 00:02:56.605 --> 00:02:58.705 If you can get that prof, that that class, 61 00:02:59.705 --> 00:03:02.005 if you can get those courses completed, 62 00:03:02.305 --> 00:03:04.045 you then also have the opportunity 63 00:03:04.105 --> 00:03:07.125 to earn a professional certificate in Leading with AI 64 00:03:07.545 --> 00:03:09.885 by completing four courses in the series. 65 00:03:10.865 --> 00:03:14.285 Now, the first one we're starting with is Leading with AI: 66 00:03:14.945 --> 00:03:18.645 Self-Leadership, and this course kicks off in February 67 00:03:18.745 --> 00:03:19.885 of 2026. 68 00:03:20.625 --> 00:03:24.125 The instructor is one of my favorite colleagues, Ray Luther, 69 00:03:24.665 --> 00:03:27.445 who is not just a professor of management here, 70 00:03:27.745 --> 00:03:29.885 but also head of our Leadership Academy 71 00:03:30.065 --> 00:03:31.445 for the Full-Time MBAs. 72 00:03:32.185 --> 00:03:36.325 Now, self-leadership means managing your own mindset, 73 00:03:36.955 --> 00:03:39.525 your energy, managing your time, and 74 00:03:39.545 --> 00:03:40.925 and adjusting your behaviors. 75 00:03:41.475 --> 00:03:42.645 It's building awareness 76 00:03:42.905 --> 00:03:44.805 of your patterns and your blind spots. 77 00:03:45.545 --> 00:03:48.005 And Ray will show you how to use AI 78 00:03:48.305 --> 00:03:52.605 as a personal support system to help you have more clarity 79 00:03:52.625 --> 00:03:55.245 of thinking, to make better decisions 80 00:03:55.265 --> 00:03:58.685 and develop better habits, and even create new routines. 81 00:03:59.705 --> 00:04:03.365 The idea of starting here is that you really should learn 82 00:04:03.365 --> 00:04:04.965 to lead yourself with AI 83 00:04:05.305 --> 00:04:08.405 before you can credibly lead others with AI. 84 00:04:09.645 --> 00:04:12.245 I had the opportunity to sit down with Professor Luther 85 00:04:12.425 --> 00:04:14.005 to talk about the class, 86 00:04:14.545 --> 00:04:17.685 and I hope you enjoy watching the conversation as much 87 00:04:17.685 --> 00:04:18.965 as I enjoyed having it. 88 00:04:19.475 --> 00:04:22.605 What you should listen for as we go through this is, first, 89 00:04:22.985 --> 00:04:24.125 who the class is for 90 00:04:24.625 --> 00:04:27.165 and the kinds of problems that it really helps people solve. 91 00:04:27.785 --> 00:04:28.925 But pay attention 92 00:04:28.985 --> 00:04:31.645 to the learning outcomes that you'll enjoy. 93 00:04:32.385 --> 00:04:34.445 Ray is going to not only introduce some 94 00:04:34.445 --> 00:04:36.445 of his favorite tools and practices, 95 00:04:36.705 --> 00:04:37.925 but he'll also talk about 96 00:04:37.925 --> 00:04:39.485 what this course can help you to do. 97 00:04:40.225 --> 00:04:42.605 And now here's my conversation with Ray. 98 00:04:52.225 --> 00:04:54.445 Um, As you know, I consider you a guru 99 00:04:54.445 --> 00:04:55.525 when it comes to leadership. 100 00:04:55.625 --> 00:04:57.805 You are one of the people I go to first, 101 00:04:58.545 --> 00:05:02.205 and so I would be really excited to have you tell me 102 00:05:02.705 --> 00:05:05.805 how AI has changed your view on self-leadership, 103 00:05:06.145 --> 00:05:08.325 how it's created differences in your 104 00:05:08.645 --> 00:05:09.805 practice of self-leadership. 105 00:05:09.955 --> 00:05:11.605 Yeah, what a great question. 106 00:05:11.825 --> 00:05:15.805 Um, I mean, AI is, is creating such a ripple effect of, 107 00:05:15.945 --> 00:05:17.085 of disruption right? 108 00:05:17.545 --> 00:05:19.165 Across all of our lives. [Carolyn] Yes. 109 00:05:19.385 --> 00:05:20.805 [Ray] And especially our professional lives. 110 00:05:20.865 --> 00:05:23.565 So as somebody who likes to coach and develop others and, 111 00:05:23.985 --> 00:05:27.445 and really also teach them how to develop themselves 112 00:05:27.445 --> 00:05:29.725 through this concept of self-leadership, um, 113 00:05:29.795 --> 00:05:31.485 when I first started thinking about AI, 114 00:05:31.605 --> 00:05:32.725 I, I kind of stepped back. 115 00:05:32.785 --> 00:05:34.365 I'm like, Ooh, I don't know if this is gonna be good. 116 00:05:34.825 --> 00:05:37.805 And I would say my opinion has shifted, right? [Carolyn] Okay. 117 00:05:37.835 --> 00:05:40.085 [Ray] With some, um, with some caveats. 118 00:05:40.085 --> 00:05:41.365 And, and one of the, one 119 00:05:41.365 --> 00:05:44.325 of the first big use cases I heard was from a student, 120 00:05:44.705 --> 00:05:47.485 and I had a student in my MBA self-leadership class, 121 00:05:47.665 --> 00:05:48.845 and he said, hey, professor, can 122 00:05:48.845 --> 00:05:49.925 I talk to you a little bit after class? 123 00:05:50.125 --> 00:05:53.765 I said, sure. And this was when ChatGPT made its 124 00:05:53.765 --> 00:05:54.805 first big announcement. 125 00:05:54.805 --> 00:05:56.685 [Carolyn] Yeah. [Ray] And probably, I'm sorry, about six months 126 00:05:56.685 --> 00:06:00.125 after that, but he said, um, hey, 127 00:06:00.565 --> 00:06:02.805 I wanna show you something I've been doing with ChatGPT. 128 00:06:03.625 --> 00:06:06.445 And he showed me, basically he's been keeping a journal 129 00:06:06.545 --> 00:06:10.365 for six months on things that he was curious about himself 130 00:06:10.425 --> 00:06:12.645 and things that he was really learning about himself. 131 00:06:12.705 --> 00:06:17.485 And as he kept feeding ChatGPT more information, 132 00:06:18.145 --> 00:06:21.845 he was able to very, from a very astute position, play 133 00:06:21.845 --> 00:06:23.085 with it and ask it questions. 134 00:06:23.085 --> 00:06:26.245 And really create what I love about what, 135 00:06:26.275 --> 00:06:27.445 what LLMs can do, 136 00:06:27.445 --> 00:06:30.285 which is an external self-observation angle. 137 00:06:30.335 --> 00:06:33.085 Right. [Carolyn] Okay. [Ray] And so when we talk about leading yourself 138 00:06:33.155 --> 00:06:35.285 well, there's always two angles. 139 00:06:35.465 --> 00:06:38.725 One, what's the internal sensemaking that I'm doing? 140 00:06:38.725 --> 00:06:40.125 [Carolyn] Right. [Ray] What's the self-awareness I have? 141 00:06:40.545 --> 00:06:42.925 How do I make sense of situations? What are my values? 142 00:06:43.105 --> 00:06:45.525 How do I understand those? But an important piece 143 00:06:45.525 --> 00:06:47.405 that's often missed is this external, 144 00:06:47.555 --> 00:06:50.445 like, what does somebody else think about my leadership? 145 00:06:50.505 --> 00:06:52.325 How does somebody else experience 146 00:06:52.385 --> 00:06:53.685 me as I'm working with them? 147 00:06:54.225 --> 00:06:57.765 How do I, how do I work with others through their eyes? 148 00:06:57.825 --> 00:07:01.205 And we often don't have a good way 149 00:07:01.205 --> 00:07:02.285 of getting that information. [Carolyn] Yeah. 150 00:07:02.345 --> 00:07:06.405 [Ray] And so I feel like LLMs are an interesting kind of 151 00:07:07.195 --> 00:07:10.445 placeholder where they can serve as an external piece 152 00:07:10.445 --> 00:07:13.325 of observation with a lot of caveats, right? 153 00:07:13.325 --> 00:07:15.005 [Carolyn] Yeah. Yeah. [Ray] Um, and we have to understand 154 00:07:15.005 --> 00:07:17.165 what the models are, but that is one of the, 155 00:07:17.165 --> 00:07:19.885 when you ask like, what is a big shift in your practice, 156 00:07:19.885 --> 00:07:20.885 [Carolyn] Uhhuh. [Ray] that is one 157 00:07:20.885 --> 00:07:23.085 of the big shifts in my practice from a personal level, 158 00:07:23.445 --> 00:07:25.845 I can, uh, I, 159 00:07:26.005 --> 00:07:28.645 I do practice self-awareness building, self-observation. 160 00:07:28.645 --> 00:07:30.405 [Carolyn] Of course, [Ray] I, I, I teach this, 161 00:07:30.425 --> 00:07:34.045 but so I go through it as well, but now I can load documents 162 00:07:34.045 --> 00:07:35.285 or ask it questions or, 163 00:07:35.385 --> 00:07:37.325 or say, hey, here's what I'm trying to do. 164 00:07:37.325 --> 00:07:38.605 What am I missing? [Carolyn] Mmm-hmm. 165 00:07:38.735 --> 00:07:40.845 [Ray] Where am I not seeing an angle on this? 166 00:07:40.945 --> 00:07:43.285 And it gives me so many concepts 167 00:07:43.285 --> 00:07:48.005 and ideas of just, you know, patterns that might emerge. 168 00:07:48.415 --> 00:07:51.445 Right. It's, it we have to, it is a machine. [Carolyn] Yeah, yeah. 169 00:07:51.445 --> 00:07:55.045 [Ray] Right. It is. I'm not a technical person at all. 170 00:07:55.185 --> 00:07:57.365 So I, I use it from a very consumer friendly, 171 00:07:57.585 --> 00:07:59.485 so I appreciate that it's a machine. 172 00:07:59.485 --> 00:08:01.845 There are mathematical equations doing probability 173 00:08:01.845 --> 00:08:05.125 calculations behind the scenes, but the patterns 174 00:08:05.385 --> 00:08:08.405 and insights that it can capture, I find very helpful 175 00:08:09.145 --> 00:08:11.725 for then me to do the thinking, [Carolyn] Uhhuh, 176 00:08:11.725 --> 00:08:13.965 [Ray] which is the important part, don't lose the human element. 177 00:08:14.055 --> 00:08:16.045 {Carolyn] Right. [Ray] Me to do the thinking of, wow, 178 00:08:16.045 --> 00:08:17.765 that's an angle I haven't considered. 179 00:08:18.025 --> 00:08:19.805 That's a perspective I haven't thought about. 180 00:08:20.035 --> 00:08:22.845 That is a way that somebody might interpret my intention, 181 00:08:22.855 --> 00:08:26.205 which is different than what I actually intend. 182 00:08:26.205 --> 00:08:29.765 [Carolyn] Mm-hmm. [Ray] And that's really how it shifted my own practice of 183 00:08:30.405 --> 00:08:34.605 I just have a really astute external observer that's, again, 184 00:08:34.825 --> 00:08:37.445 has some limitations, but it can, it can help me get 185 00:08:37.445 --> 00:08:40.045 that external observation versus, you know, 186 00:08:40.305 --> 00:08:41.725 always having to go to somebody else. 187 00:08:42.065 --> 00:08:44.125 And we have all sorts of dynamics 188 00:08:44.125 --> 00:08:46.845 and relationships that make that very complicated 189 00:08:46.945 --> 00:08:48.485 to constantly ask for feedback. 190 00:08:48.485 --> 00:08:50.925 Right. [Carolyn] Indeed. [Ray] So anyway, that's a, that's a, 191 00:08:51.125 --> 00:08:53.845 a long-winded thought and way of answering that question. 192 00:08:53.985 --> 00:08:56.205 That's wonderful. One of the, one of the 193 00:08:56.765 --> 00:08:58.685 interesting things that's happened to me is when I've tried 194 00:08:58.685 --> 00:09:00.245 some of that self-reflection stuff, 195 00:09:00.395 --> 00:09:04.365 what comes back is, well, um, you're very abrupt. 196 00:09:04.365 --> 00:09:08.125 Are you okay with that? And so what I love is the this is 197 00:09:08.125 --> 00:09:09.885 what you're doing, are you okay with that? 198 00:09:09.885 --> 00:09:12.365 [Ray] Mm-hmm. Mm-hmm. [Carolyn] And, and sometimes I say Uhuh, 199 00:09:12.825 --> 00:09:15.965 and other times I say, yeah, abrupt probably isn't good, 200 00:09:15.965 --> 00:09:18.245 particularly in the kinds of emails that I'm sending. [Ray] Mm-hmm. 201 00:09:18.405 --> 00:09:20.645 [Carolyn] A a good, you know, that, that how are you might be good. 202 00:09:20.785 --> 00:09:22.965 [Ray] Yes. [Carolyn] Do you have anything like that that you've learned 203 00:09:23.145 --> 00:09:24.205 as you've gone through this process? 204 00:09:24.555 --> 00:09:25.925 Yeah, I, I would say 205 00:09:25.955 --> 00:09:29.565 that oftentimes it picks up on patterns that I have of, um, 206 00:09:29.645 --> 00:09:30.925 I could be long-winded, right? 207 00:09:30.925 --> 00:09:33.045 [Carolyn] Mm-hmm. [Ray] And so I will shoot something 208 00:09:33.045 --> 00:09:35.285 or I, I load a piece of writing that I've come up with 209 00:09:35.345 --> 00:09:38.085 or a response and just say, hey, what, what's coming back? 210 00:09:38.425 --> 00:09:39.445 You know, hey, 211 00:09:39.445 --> 00:09:40.845 maybe you wanna make this a little more concise. 212 00:09:40.905 --> 00:09:42.645 Hey, maybe you wanna make this a little more condensed. 213 00:09:42.645 --> 00:09:44.205 Hey, maybe you wanna get to the point, right? 214 00:09:44.305 --> 00:09:47.045 So again, that external observation, hey, 215 00:09:47.135 --> 00:09:48.925 maybe you're being a bit abrupt, right? 216 00:09:49.345 --> 00:09:52.125 As if you, again, the more you prompt well, 217 00:09:52.145 --> 00:09:54.005 the more you are able to work with the tool, 218 00:09:54.005 --> 00:09:55.845 the more you're able to give it samples 219 00:09:55.985 --> 00:09:57.165 or things to learn from, 220 00:09:57.305 --> 00:10:00.925 and then, you know, ask it meaningful questions. 221 00:10:00.925 --> 00:10:04.245 [Carolyn] Mm-hmm. [Ray] Then the tool can be just that, a tool 222 00:10:04.245 --> 00:10:06.565 to help you understand yourself a little bit better. [Carolyn] It, 223 00:10:06.565 --> 00:10:08.845 it almost feels like figuring out 224 00:10:08.925 --> 00:10:10.525 what questions to ask [Ray] Mm-hmm. 225 00:10:10.905 --> 00:10:14.045 [Carolyn] is a huge form of self-leadership. [Ray] Yeah. [Carolyn] Is it that simple? 226 00:10:14.465 --> 00:10:15.565 [Ray] Um, I think so. 227 00:10:15.685 --> 00:10:17.525 I think it's what questions to ask and, 228 00:10:17.625 --> 00:10:19.925 and what clarity do you need 229 00:10:19.925 --> 00:10:22.245 to provide the model to be able to help you? 230 00:10:22.245 --> 00:10:23.965 Right. [Carolyn] Uhhuh. [Ray] And so, you know, if I, 231 00:10:24.745 --> 00:10:27.125 if I ask the model a question 232 00:10:27.985 --> 00:10:30.045 and ask the model a question in a way 233 00:10:30.045 --> 00:10:32.445 that doesn't give any other parameters, 234 00:10:32.995 --> 00:10:36.005 that question could be useful. If I ask the model a question, 235 00:10:36.145 --> 00:10:37.925 but also give it parameters that say, 236 00:10:38.305 --> 00:10:40.725 I'm very confident these are the values I want to live by. 237 00:10:40.725 --> 00:10:41.965 [Carolyn] Mm-hmm. [Ray] I'm very confident 238 00:10:41.965 --> 00:10:43.925 that this is a philosophy that's important to me. 239 00:10:44.425 --> 00:10:47.045 I'm very confident that I've gotten feedback that says, 240 00:10:47.045 --> 00:10:48.445 here's some strengths and opportunities, 241 00:10:48.585 --> 00:10:52.325 and I ask it the same question, that additional context 242 00:10:52.505 --> 00:10:54.085 or information can really help. 243 00:10:54.455 --> 00:10:56.965 Right. And it can help me, again, what am I trying 244 00:10:56.985 --> 00:10:58.085 to use the tool for? 245 00:10:58.385 --> 00:11:00.925 I'm trying to use the tool for another source of observation 246 00:11:00.945 --> 00:11:02.925 to gimme some thoughts and ideas on 247 00:11:02.985 --> 00:11:05.445 how I might actually want to act. 248 00:11:06.165 --> 00:11:09.525 I think one of the things that I read recently in a, 249 00:11:09.625 --> 00:11:13.685 in from a, a blog post that I read was, you, you don't want 250 00:11:13.685 --> 00:11:17.925 to outsource, um, the human element to AI, right? 251 00:11:17.985 --> 00:11:21.125 You, you want to make sure that you're retaining you 252 00:11:21.345 --> 00:11:22.765 as the agent, right? 253 00:11:22.765 --> 00:11:25.325 [Carolyn] Mm-hmm. [Ray] You as, how do I maintain my agency? 254 00:11:25.745 --> 00:11:28.925 But use the tool just like another technical tool 255 00:11:28.925 --> 00:11:32.165 that's able to help you maybe shift some thought, 256 00:11:32.335 --> 00:11:34.765 accelerate some thought, look for different patterns, 257 00:11:35.145 --> 00:11:36.405 use it in a way to kind 258 00:11:36.405 --> 00:11:39.125 of help yourself maybe get a little bit more clarity. 259 00:11:39.705 --> 00:11:42.885 So it seems like it's got some really good opportunity 260 00:11:42.885 --> 00:11:46.365 here for people who, who like the, the reflection [Ray] Mm-hmm. 261 00:11:46.465 --> 00:11:47.765 [Carolyn] and the, that process [Ray] Mm-hmm. 262 00:11:47.865 --> 00:11:50.125 [Carolyn] of, of remodeling as I call it, [Ray] Right, [Carolyn] right, 263 00:11:50.125 --> 00:11:52.765 as you're working through. Is there anything about it 264 00:11:52.765 --> 00:11:55.325 that might prompt folks who don't like that process? 265 00:11:55.585 --> 00:11:57.005 [Ray] Mm. [Carolyn] to engage? [Ray] Mm, 266 00:11:57.185 --> 00:11:58.185 that's a great question. 267 00:11:58.265 --> 00:12:00.885 Um, oftentimes when I find people that don't want 268 00:12:00.885 --> 00:12:03.005 to engage regardless of AI use or not, 269 00:12:03.005 --> 00:12:06.165 [Carolyn] Yeah. [Ray] uh, typically it's some sort of emotional discomfort 270 00:12:06.465 --> 00:12:10.005 or, um, uncertainty about, wow, I don't know if I want 271 00:12:10.005 --> 00:12:11.725 to know all these things about myself, 272 00:12:11.725 --> 00:12:15.005 [Carolyn] Yes. [Ray] right. I don't know if I want to be aware of some 273 00:12:15.005 --> 00:12:17.245 of my shortcomings or maybe be aware of some 274 00:12:17.245 --> 00:12:18.725 of the quirks that I have, et cetera. 275 00:12:18.745 --> 00:12:20.885 [Carolyn] Yep. [Ray] And that probably does take some work 276 00:12:21.115 --> 00:12:22.565 outside of the tool domain. 277 00:12:22.625 --> 00:12:25.325 [Carolyn] Yep. [Ray] Okay. How do we build the self-efficacy, 278 00:12:25.345 --> 00:12:28.805 the self-confidence to kind of say, I'm a whole human being 279 00:12:28.905 --> 00:12:30.645 and I can look at, you know [Carolyn] Yep. 280 00:12:30.865 --> 00:12:35.445 [Ray] how I show up holistically as a, as a place to learn from. 281 00:12:35.445 --> 00:12:37.325 Right. [Carolyn] I love that. [Ray] Where, where do I want to go from here? 282 00:12:37.845 --> 00:12:39.565 I think that's where, again, the tool can help you. 283 00:12:39.805 --> 00:12:42.565 I, I don't think there's anything magical about the tool 284 00:12:42.565 --> 00:12:43.885 that would suddenly shift that [Carolyn] Mm-hmm. 285 00:12:43.985 --> 00:12:45.645 [Ray] if you don't do the work yourself [Carolyn]Yeah. 286 00:12:45.645 --> 00:12:49.325 [Ray] to be able to, you know, be in a good place to, to work 287 00:12:49.325 --> 00:12:50.805 with this perspective about yourself. 288 00:12:51.235 --> 00:12:53.645 What do you wish AI could do that it can't yet? 289 00:12:53.945 --> 00:12:58.925 Oh, wow. Um, I wish I, I have a lot of ideas 290 00:12:59.025 --> 00:13:01.565 and, and this is again, my technical incompetence. 291 00:13:01.685 --> 00:13:04.885 I have a lot of ideas for, uh, coding tools 292 00:13:05.065 --> 00:13:09.365 or coding help that I would like from AI that I think, um, 293 00:13:09.555 --> 00:13:12.445 just because of my coaching practice 294 00:13:12.445 --> 00:13:14.565 and how I work with people, I would like it 295 00:13:14.565 --> 00:13:17.125 to create little micro learning, right, 296 00:13:17.225 --> 00:13:20.645 [Carolyn] Yes. [Ray] events. And I'm sure this is, this is, uh, 297 00:13:20.795 --> 00:13:21.925 very possible and it's just 298 00:13:21.925 --> 00:13:24.645 beyond my technical competence. [Carolyn] it's beyond mine too. 299 00:13:24.745 --> 00:13:28.245 [Ray] Um, but at the same time, I, I, I hope that it gets easier 300 00:13:28.945 --> 00:13:31.045 at being able to create some of those things 301 00:13:31.045 --> 00:13:34.165 because I, I think from a creativity standpoint, 302 00:13:34.525 --> 00:13:37.565 I love the tool because it enables so many kind 303 00:13:37.565 --> 00:13:39.045 of open playgrounds [Carolyn] Mm-hmm. 304 00:13:39.145 --> 00:13:42.125 [Ray] to be able to help people either as a teacher, instructor, 305 00:13:42.335 --> 00:13:46.165 coach, um, help people and learn with each other, right, 306 00:13:46.425 --> 00:13:48.325 as an interactive component, uh, 307 00:13:48.325 --> 00:13:50.205 that it could be really, really cool. 308 00:13:50.265 --> 00:13:52.405 But again, that's, that's something 309 00:13:52.405 --> 00:13:53.725 that's a little bit beyond my capacity. 310 00:13:53.875 --> 00:13:54.875 [Carolyn] Mine too. And I 311 00:13:54.875 --> 00:13:55.605 would dearly love 312 00:13:55.605 --> 00:13:57.405 to have those little micro learning moments. 313 00:13:57.405 --> 00:13:59.165 [Ray] Yeah. [Carolyn] But I'm not that smart. 314 00:13:59.385 --> 00:14:02.085 So, we'll just, just kind of speaking 315 00:14:02.085 --> 00:14:03.085 of getting smarter though. 316 00:14:03.085 --> 00:14:05.565 [Ray] Yeah. [Carolyn] I do want to shift gears into the course 317 00:14:05.565 --> 00:14:08.085 that you'll be teaching in our Leading with AI series. 318 00:14:08.185 --> 00:14:10.765 [Ray] Yes. [Carolyn] It's Leading with AI: Self-Leadership. [Ray] Mm-hmm. 319 00:14:10.985 --> 00:14:12.725 [Carolyn] So let me start by saying, 320 00:14:13.025 --> 00:14:15.365 if I am considering this course, [Ray] Mm-hmm. 321 00:14:15.475 --> 00:14:17.485 [Carolyn] what would I need to do in advance? 322 00:14:18.185 --> 00:14:20.245 Um, not, not just the pre-work of learning to, 323 00:14:20.385 --> 00:14:21.605 to prompt, et cetera. 324 00:14:21.615 --> 00:14:24.285 [Ray] Right. [Carolyn] But what, where would my head need to be in order 325 00:14:24.285 --> 00:14:26.205 to get the maximum value out of this? [Ray] Yeah. 326 00:14:26.555 --> 00:14:30.125 Such a great question. I I, I hope people come into this 327 00:14:30.125 --> 00:14:32.845 with a natural curiosity to learn more about themselves. 328 00:14:32.875 --> 00:14:34.725 [Carolyn] Okay. [Ray] When I work with people 329 00:14:34.725 --> 00:14:37.365 and we start talking about this concept of self-leadership, 330 00:14:37.425 --> 00:14:39.485 one, it's, if, if you're not in the space, 331 00:14:39.545 --> 00:14:41.405 it could be a little bit of a foreign concept saying, 332 00:14:41.405 --> 00:14:43.085 what does it mean to lead myself? 333 00:14:43.085 --> 00:14:45.765 Right. [Carolyn] Exactly. [Ray] And when we kind of step back 334 00:14:45.765 --> 00:14:48.725 and think about it, we all, we mean by self-leadership is, 335 00:14:49.265 --> 00:14:52.165 um, do I have the capacity to build my self-awareness 336 00:14:52.755 --> 00:14:55.965 through how I view myself and how others experience me? 337 00:14:55.965 --> 00:14:58.325 [Carolyn] Mm-hmm. [Ray] And then based upon that self-awareness, 338 00:14:58.505 --> 00:15:01.485 can I get in line with intentions I have? 339 00:15:01.865 --> 00:15:04.205 And typically those intentions come from the values 340 00:15:04.315 --> 00:15:05.365 that we're trying to practice, 341 00:15:05.745 --> 00:15:07.325 or goals we want to set for ourself. 342 00:15:07.325 --> 00:15:09.405 [Carolyn] Okay. [Ray] And that's kind of how I break it down. [Carolyn] Mm-hmm. 343 00:15:09.625 --> 00:15:12.405 [Racy] And so what I would hope people come to with is, one, 344 00:15:12.805 --> 00:15:14.685 a curiosity about AI as a tool, 345 00:15:15.065 --> 00:15:17.325 but then two, a curiosity about themselves. 346 00:15:17.515 --> 00:15:19.365 [Carolyn] Good. [Ray] Right. How do you come in 347 00:15:19.385 --> 00:15:21.605 and do you have a good perspective on your values? 348 00:15:21.785 --> 00:15:23.285 Do you have a sense of your goals? 349 00:15:23.705 --> 00:15:25.965 Do you have a vision for yourself? [Carolyn] Mm-hmm. 350 00:15:26.085 --> 00:15:28.805 [Ray] And if not, do we want to create one of those, right? 351 00:15:28.805 --> 00:15:31.485 [Carolyn] Mm-hmm. [Ray] We can explore small exercises 352 00:15:31.585 --> 00:15:33.045 to start thinking about all of those, 353 00:15:33.225 --> 00:15:36.565 and then we'll simply layer on some AI thinking 354 00:15:36.565 --> 00:15:38.205 that might be able to help augment 355 00:15:38.345 --> 00:15:40.845 and, uh, enhance our perspectives 356 00:15:40.845 --> 00:15:42.925 as we go about doing that work. [Carolyn] Would 357 00:15:42.925 --> 00:15:44.565 you mind just briefly, 'cause I know this, 358 00:15:44.565 --> 00:15:46.685 this concept will be foreign [Ray] Mm-hmm. 359 00:15:46.765 --> 00:15:47.885 [Carolyn] to a number of the people with us. 360 00:15:48.135 --> 00:15:50.285 Would you choose one of those exercises 361 00:15:50.285 --> 00:15:52.525 and then very quickly just walk me through it [Ray] Yeah. 362 00:15:52.525 --> 00:15:54.205 [Carolyn] to give them a sense of what it is? [Ray] Yeah. 363 00:15:54.465 --> 00:15:56.325 So one of the exercises I like 364 00:15:56.325 --> 00:15:58.165 to do is the values clarity exercise. 365 00:15:58.185 --> 00:16:00.485 [Carolyn] Yep. [Ray] And, and we will spend a bit of time on values clarity, 366 00:16:00.825 --> 00:16:03.045 uh, because values are so fundamental to what we do. 367 00:16:03.045 --> 00:16:04.165 [Carolyn] Mm-hmm. [Ray] And there's lots 368 00:16:04.165 --> 00:16:07.245 of very simple values identification tools out there. 369 00:16:07.265 --> 00:16:08.645 And some people might come to the class 370 00:16:08.645 --> 00:16:10.525 with these already clarified, which is great. 371 00:16:10.865 --> 00:16:13.525 Um, but we'll do some quick exercise to say, okay, let's get 372 00:16:13.525 --> 00:16:15.005 to our top five to seven values. 373 00:16:15.005 --> 00:16:18.765 [Carolyn] Mm-hmm. [Ray] Um, and one of the exercises that I like to do 374 00:16:18.765 --> 00:16:22.805 with AI and values now is again, using it as a context 375 00:16:23.495 --> 00:16:28.445 input and looking at that context input versus some sort 376 00:16:28.445 --> 00:16:30.845 of loosely defined work goal, 377 00:16:30.955 --> 00:16:33.045 work objective, whatever it happens to be. 378 00:16:33.465 --> 00:16:36.285 And starting to say, how can we use prompts to kind of 379 00:16:36.875 --> 00:16:38.965 help us think through, hey, if I have a value 380 00:16:38.985 --> 00:16:41.765 of collaboration, relationships, honesty, 381 00:16:42.425 --> 00:16:43.925 and transparency, [Carolyn] Right. 382 00:16:43.925 --> 00:16:45.525 [Ray] like, those are values I hold dear, 383 00:16:45.865 --> 00:16:48.245 and I have this major project coming up over the next 384 00:16:48.245 --> 00:16:49.365 12 to 18 months. 385 00:16:50.085 --> 00:16:51.725 I know these things are important to me. 386 00:16:52.395 --> 00:16:54.645 What are ways that I might want to think about 387 00:16:55.415 --> 00:16:57.085 delivering against those values 388 00:16:57.085 --> 00:17:00.285 [Carolyn] Mm-hmm. [Ray] so I am motivated while also delivering some 389 00:17:00.285 --> 00:17:01.365 sort of meaningful work? 390 00:17:01.515 --> 00:17:03.285 What should I be considering in advance? 391 00:17:03.385 --> 00:17:06.765 And again, just as a prompt tool, just as a way to look 392 00:17:06.765 --> 00:17:10.685 for patterns, explore things, how do we use the, uh, 393 00:17:10.865 --> 00:17:13.045 the stuff that we need to do our own thinking about 394 00:17:13.185 --> 00:17:16.005 of what's important to me with a tool that helps us 395 00:17:16.535 --> 00:17:20.925 maybe speed up some of that observational process of 396 00:17:20.925 --> 00:17:22.285 how we could either apply these 397 00:17:22.425 --> 00:17:24.645 or maybe how we have applied them depending on 398 00:17:24.645 --> 00:17:26.085 what data we want to share with the tool. 399 00:17:26.405 --> 00:17:30.245 [Carolyn] I have this vision of project management KPIs 400 00:17:30.585 --> 00:17:33.805 and value activation being one of the KPIs. 401 00:17:34.045 --> 00:17:35.165 [Ray] I would love that. [Carolyn] Wouldn't that be amazing? 402 00:17:35.275 --> 00:17:37.245 [Ray] That would be amazing. [Carolyn] Oh my gosh. Okay. [Ray] Yes. 403 00:17:37.705 --> 00:17:38.965 [Carolyn] Um, so yeah, that 404 00:17:38.965 --> 00:17:40.965 and learning micro learning, and we can do those things. 405 00:17:41.025 --> 00:17:42.125 [Ray] We can do, [Carolyn] we're like all 406 00:17:42.125 --> 00:17:43.685 in. [Ray] You mentioned values activation. 407 00:17:43.685 --> 00:17:45.085 It's such an important concept to me. 408 00:17:45.165 --> 00:17:47.725 I think it's one thing, you know, when we work with a lot 409 00:17:47.725 --> 00:17:49.045 of self-leadership concepts, 410 00:17:49.060 --> 00:17:50.100 no matter what they are, [Carolyn] Mm-hmm. 411 00:17:50.185 --> 00:17:52.925 [Ray] we can identify values, and we can get pretty good at that. 412 00:17:52.925 --> 00:17:54.125 Right. We can look for that. 413 00:17:54.395 --> 00:17:56.365 There's a bigger question of, great, now 414 00:17:56.365 --> 00:17:59.685 that I've identified them, can I activate them? 415 00:17:59.775 --> 00:18:02.285 [Carolyn] Right. [Ray] Or how do I stay conscious enough about them 416 00:18:02.285 --> 00:18:03.845 that I do activate them? 417 00:18:04.055 --> 00:18:05.965 [Carolyn] Right. [Ray] Right. In a consistent basis. 418 00:18:06.065 --> 00:18:09.725 So it's not just about the reflection of did I [Carolyn] Uhhuh 419 00:18:09.985 --> 00:18:12.965 [Ray] but it's the kind of perspective-taking of looking forward 420 00:18:12.985 --> 00:18:14.525 to say, how will I? [Carolyn] Yeah. 421 00:18:14.575 --> 00:18:16.725 [Ray] Right. And how do I keep that active? 422 00:18:16.785 --> 00:18:21.365 And that is a, if, if we can help show up in a way 423 00:18:21.365 --> 00:18:24.085 that is more value, you know, values aligned in the work 424 00:18:24.085 --> 00:18:26.445 that we're doing, we're probably gonna make a little bit 425 00:18:26.445 --> 00:18:27.485 more meaning out of that work, 426 00:18:27.725 --> 00:18:30.485 a little bit more motivation out of that work, et cetera. 427 00:18:30.665 --> 00:18:32.045 All those good things that come along with that. 428 00:18:32.705 --> 00:18:35.045 Uh, I, I, I don't know if I've, if I've shared this story 429 00:18:35.045 --> 00:18:38.325 with you or not, but, um, my stepmom passed away last year. 430 00:18:38.385 --> 00:18:42.365 [Ray] Oh. [Carolyn] And I was going through the process of using ChatGPT 431 00:18:42.365 --> 00:18:45.805 to kinda help me organize my thoughts as I was working 432 00:18:45.805 --> 00:18:48.005 with my dad on the memorial and, and all of those things. 433 00:18:48.005 --> 00:18:51.765 [Ray] Mm-hmm. [Carolyn] And in the mix was a young 18-year-old, uh, 434 00:18:52.615 --> 00:18:54.285 grand-niece who sort 435 00:18:54.285 --> 00:18:56.965 of had grand ideas about taking over the memorial service. 436 00:18:56.985 --> 00:19:00.685 [Ray] Mm-hmm. [Carolyn] And so I was trying to, to, to, you know, the, the, 437 00:19:00.685 --> 00:19:02.965 were trying to do this and collaboratively, et cetera, 438 00:19:03.145 --> 00:19:04.365 and I'm writing all of it in, 439 00:19:04.365 --> 00:19:05.645 but I was very, very frustrated. 440 00:19:05.645 --> 00:19:07.885 Yeah. So as I was adding context, I said, 441 00:19:07.905 --> 00:19:09.485 and please help me do all of this so 442 00:19:09.485 --> 00:19:10.845 that I don't smack Isabel. 443 00:19:12.585 --> 00:19:15.405 And I got the prompt back with all the things at the end. 444 00:19:15.405 --> 00:19:17.285 It said, I don't think physical violence is 445 00:19:17.285 --> 00:19:18.405 consistent with your values. 446 00:19:19.965 --> 00:19:21.365 [Ray] A good external observation 447 00:19:21.965 --> 00:19:22.965 [Carolyn] It really was [Ray]Yes. [Carolyn] And I found myself 448 00:19:22.965 --> 00:19:23.565 saying, yes, 449 00:19:23.685 --> 00:19:24.725 I should probably change the language. 450 00:19:24.945 --> 00:19:28.525 [Ray] Yes, yes.[Carolyn] Probably refocus that energy a little bit 451 00:19:28.595 --> 00:19:31.245 [Ray] Yeah. [Carolyn] because yeah, it really is something 452 00:19:31.245 --> 00:19:34.285 that keeps you, keeps you honest, 453 00:19:34.515 --> 00:19:35.885 [Ray] Yeah. [Carolyn] for lack of a better way to put it. 454 00:19:35.995 --> 00:19:38.885 [Ray] Yeah. I was just reading something, uh, a post, uh, 455 00:19:39.395 --> 00:19:40.565 floated by on LinkedIn, 456 00:19:40.645 --> 00:19:41.965 and I know there's an active debate 457 00:19:41.965 --> 00:19:44.565 among some prominent psychologists right now at a 458 00:19:44.565 --> 00:19:46.645 philosophical level of do these tools 459 00:19:46.645 --> 00:19:48.045 experience emotions or not? 460 00:19:48.545 --> 00:19:50.685 And there are some who are on the side that say, 461 00:19:50.945 --> 00:19:52.165 no, no, no, no, these are tools. 462 00:19:52.165 --> 00:19:54.365 These are mathematical equations. This is not emotion laden. 463 00:19:54.665 --> 00:19:55.685 And then there are others 464 00:19:55.865 --> 00:19:58.525 who philosophically are looking at it saying, wow, 465 00:19:58.525 --> 00:20:01.205 there is some, some interesting ways based upon 466 00:20:01.205 --> 00:20:03.125 how we think emotions, that maybe there's some evidence 467 00:20:03.125 --> 00:20:06.365 there that the, that that is influencing them. 468 00:20:06.805 --> 00:20:07.885 I, again, [Carolyn] Where do 469 00:20:07.885 --> 00:20:09.405 you come down on that? [Ray] way, way, 470 00:20:09.745 --> 00:20:12.565 Uh, I, I tend to be more of the, 471 00:20:13.235 --> 00:20:14.805 they are emotionless tools 472 00:20:14.805 --> 00:20:16.605 with a mathematical equation behind them. 473 00:20:16.675 --> 00:20:18.245 [Carolyn] Yeah. [Ray] But it's interesting 474 00:20:18.245 --> 00:20:21.405 because I think the way in which we interpret the language 475 00:20:21.405 --> 00:20:22.445 that they share with us, 476 00:20:23.465 --> 00:20:26.645 we are often reading it in an emotional state. 477 00:20:26.745 --> 00:20:29.805 [Carolyn] Yes. [Ray] Right. And so it's easy to look at it 478 00:20:29.805 --> 00:20:33.165 and say, wow, that, that they must have had emotions 479 00:20:33.165 --> 00:20:34.765 as they express this thing. 480 00:20:34.945 --> 00:20:37.325 [Carolyn] Mm-hmm. [Ray] Must have had emotions that had expressed that. 481 00:20:38.085 --> 00:20:39.885 I don't know, that's way beyond my pay grade, 482 00:20:40.105 --> 00:20:42.325 but it was an interesting philosophical question 483 00:20:42.345 --> 00:20:43.885 as I I was contemplating it. 484 00:20:44.075 --> 00:20:46.245 Kind of scares me that there could be a mathematical 485 00:20:46.485 --> 00:20:48.405 equation that would predict my emotional response. 486 00:20:48.545 --> 00:20:50.765 [Ray] Yes. [Carolyn] But it almost seems like that's what's happening. [Ray] Yeah, 487 00:20:50.875 --> 00:20:51.875 Yeah. At some level, 488 00:20:51.875 --> 00:20:52.525 I think you're right. 489 00:20:52.865 --> 00:20:55.605 [Carolyn] That's, that's absolutely intriguing. Okay. I'm sorry. 490 00:20:55.605 --> 00:20:56.445 Back to the class. [Ray] Yeah. 491 00:20:56.445 --> 00:20:57.485 [Carolyn] Which is where we are supposed to be. 492 00:20:57.865 --> 00:21:01.165 Um, so when folks come in, um, so they'll have the, 493 00:21:01.165 --> 00:21:02.765 the pre-work, they'll learn how to prompt [Ray] Mm-hmm. 494 00:21:02.845 --> 00:21:04.685 [Carolyn] They'll do all those good things, and then they'll have 495 00:21:04.685 --> 00:21:06.805 their first, first live day with you. 496 00:21:06.805 --> 00:21:08.365 [Ray] Mm-hmm. [Carolyn] What would be a win 497 00:21:08.365 --> 00:21:10.005 for you at the end of that live day? 498 00:21:10.005 --> 00:21:12.765 What would people walk away with at that point in the class? 499 00:21:13.125 --> 00:21:15.005 I think it's two things for me, two primary things. 500 00:21:15.105 --> 00:21:16.165 One is, um, 501 00:21:16.195 --> 00:21:19.645 they actually build some competency in self-leadership. 502 00:21:19.795 --> 00:21:20.965 [Carolyn] Good. [Ray] Right. Regardless of whether 503 00:21:20.965 --> 00:21:23.725 or not we're dealing with the tool, they're able to say, 504 00:21:23.785 --> 00:21:25.365 wow, I have a, I have a pathway 505 00:21:25.465 --> 00:21:27.845 to increase my self-awareness through self-observation. 506 00:21:27.875 --> 00:21:30.685 [Carolyn] Yeah. [Ray] And then I feel competent that as I do 507 00:21:30.685 --> 00:21:32.325 that I could make decisions 508 00:21:32.325 --> 00:21:33.565 that would be more meaningful to me. 509 00:21:33.785 --> 00:21:37.205 And then the second would be, how can I augment that process 510 00:21:37.425 --> 00:21:39.685 by use of some of these new tools, emerging tools, 511 00:21:39.995 --> 00:21:41.045 just a little bit of a sense 512 00:21:41.045 --> 00:21:42.845 of experimentation and curiosity, 513 00:21:43.335 --> 00:21:44.965 right, within safe balance, but, 514 00:21:45.145 --> 00:21:46.445 but enough that we look at it 515 00:21:46.445 --> 00:21:49.725 and say, wow, maybe there's a way I could even accelerate 516 00:21:49.725 --> 00:21:52.925 this by playing with the AI in a kind of creative way. 517 00:21:53.365 --> 00:21:56.165 [Carolyn] I love that. And so then you've set that self-efficacy up 518 00:21:56.385 --> 00:21:57.605 for in the next week when they have 519 00:21:57.605 --> 00:21:59.125 that half day online with you [Ray] Mm-hmm. 520 00:21:59.545 --> 00:22:01.125 [Carolyn] to say, you can do this. 521 00:22:01.365 --> 00:22:04.325 I hope you now believe you can do this. Here we go. [Ray] Right. 522 00:22:04.415 --> 00:22:07.365 Right. I'm a huge believer in adult education. [Carolyn] Yep. 523 00:22:07.435 --> 00:22:09.325 [Ray] Andragogy, right. And as we think about 524 00:22:09.705 --> 00:22:12.685 how adults learn best, it would be let's learn it. 525 00:22:12.695 --> 00:22:13.965 Let's go apply it. [Carolyn] Yep. 526 00:22:14.095 --> 00:22:15.965 [Ray] Let's have an immediacy, and then let's come back 527 00:22:15.965 --> 00:22:17.285 and talk about that immediacy, 528 00:22:17.285 --> 00:22:18.445 what worked, what didn't work. 529 00:22:18.505 --> 00:22:21.685 And so I love the follow-on session being so closely linked 530 00:22:21.685 --> 00:22:24.725 because we can set up some short experiment time to say, 531 00:22:24.725 --> 00:22:26.005 what can we learn and how do we, 532 00:22:26.025 --> 00:22:27.125 how do we make sense of that? 533 00:22:27.565 --> 00:22:30.125 [Carolyn] I love that. Then the last thing we're gonna ask folks 534 00:22:30.145 --> 00:22:32.965 to do is some sort of action learnings. 535 00:22:32.985 --> 00:22:34.205 In other words, we were gonna go back 536 00:22:34.225 --> 00:22:35.605 and say, what did you do [Ray] Mm-hmm. 537 00:22:35.685 --> 00:22:37.205 [Carolyn] as a result of being in the class. [Ray] Mm-hmm. 538 00:22:37.835 --> 00:22:41.325 [Carolyn] What are some of the things you've seen your students do in 539 00:22:41.325 --> 00:22:43.205 your previous self-leadership classes 540 00:22:43.205 --> 00:22:45.605 [Ray] Mm-hmm. [Carolyn] that would be good goals 541 00:22:45.955 --> 00:22:47.085 [Ray] Yeah. [Carolyn] for some of these folks? 542 00:22:47.315 --> 00:22:51.165 Yeah. I think, um, a couple just, I, I would aim for, 543 00:22:51.505 --> 00:22:54.165 you know, I'm a big fan of the small win philosophy, right? [Carolyn] Ditto. 544 00:22:54.265 --> 00:22:55.485 [Ray] How do we think about small wins? 545 00:22:55.505 --> 00:22:58.885 How do we not try to chew too much at the same time? [Carolyn] Yep. 546 00:22:59.145 --> 00:23:00.325 [Ray] Um, and so what I would look 547 00:23:00.325 --> 00:23:03.765 for from an action learning perspective is, um, are we able 548 00:23:03.765 --> 00:23:06.205 to see places where we've actually activated our values 549 00:23:06.205 --> 00:23:08.565 because we're raising awareness, 550 00:23:08.585 --> 00:23:10.845 or are we able to get better clarity on goals 551 00:23:10.845 --> 00:23:12.045 that we're setting for ourselves? 552 00:23:12.185 --> 00:23:15.445 And maybe looking at defining those goals not just 553 00:23:15.445 --> 00:23:17.125 as outcome goals, but maybe process 554 00:23:17.135 --> 00:23:18.245 goals and learning goals, 555 00:23:18.345 --> 00:23:21.405 and, um, how can AI actually help us think through that, 556 00:23:21.405 --> 00:23:24.645 right? One of the exercises I had, uh, one 557 00:23:24.645 --> 00:23:27.125 of my classes do last summer was define 558 00:23:27.125 --> 00:23:30.365 for themselves either a process or learning goal [Carolyn] Uhhuh. 559 00:23:30.385 --> 00:23:32.205 [Ray] and then use AI to help them 560 00:23:32.915 --> 00:23:36.245 triangulate process outcome and learning, 561 00:23:36.525 --> 00:23:38.365 [Carolyn] Uhhuh. [Ray] right, relative to and, 562 00:23:38.385 --> 00:23:40.405 and how do they shape that iteratively. 563 00:23:40.405 --> 00:23:43.165 [Carolyn] Mm-hmm. [Ray] Um, so just again, using the tool 564 00:23:43.185 --> 00:23:46.645 to maybe augment some thinking they must do. 565 00:23:46.665 --> 00:23:48.325 [Carolyn] Mm-hmm. [Ray] Right. But do it in a way 566 00:23:48.325 --> 00:23:50.245 where the tool might be able to open up ideas 567 00:23:50.345 --> 00:23:51.965 or concepts that they haven't considered. 568 00:23:52.445 --> 00:23:55.365 [Carolyn] I dearly love that. Uh, if you were going 569 00:23:55.365 --> 00:23:57.205 to tell somebody, you should come 570 00:23:57.205 --> 00:23:58.685 to this class, here's my pitch. 571 00:23:58.875 --> 00:24:01.565 [Ray] Yeah. [Carolyn] What would, what would you say the value is? 572 00:24:02.365 --> 00:24:04.325 I think the value is learning how 573 00:24:04.325 --> 00:24:07.645 to use these very powerful tools in an applied way 574 00:24:07.645 --> 00:24:08.845 [Carolyn] Mm-hmm. [Ray] to maybe lead 575 00:24:08.845 --> 00:24:10.325 ourselves a little bit more effectively? 576 00:24:10.825 --> 00:24:12.125 And maybe have some fun along the way 577 00:24:12.145 --> 00:24:13.485 And maybe have some fun along the way. 578 00:24:14.065 --> 00:24:15.685 Is there anything I haven't asked you 579 00:24:15.685 --> 00:24:16.725 about this that you think I should? 580 00:24:17.045 --> 00:24:18.045 I think we've covered a lot of good. 581 00:24:18.125 --> 00:24:20.285 I think we did a good job. [Ray] Yeah. [Carolyn] Excellent. [Ray] All right. 582 00:24:22.295 --> 00:24:24.115 [Carolyn] And if you thought the conversation was fun, 583 00:24:24.375 --> 00:24:26.315 you really should check out the class. 584 00:24:27.055 --> 00:24:30.035 If you find that you have questions either about some 585 00:24:30.035 --> 00:24:32.795 of the things that Ray said or about the class 586 00:24:33.015 --> 00:24:36.155 and its format, please do use the Q&A function, 587 00:24:36.335 --> 00:24:38.675 and I'll try to get to answer those just as, 588 00:24:38.695 --> 00:24:39.755 as quickly as we can. 589 00:24:40.425 --> 00:24:43.275 However, I do wanna give you another piece 590 00:24:43.275 --> 00:24:46.555 that I hope will be of a fairly significant value, uh, 591 00:24:46.585 --> 00:24:48.275 both literally and figuratively. 592 00:24:48.665 --> 00:24:51.115 This QR code has a couple 593 00:24:51.135 --> 00:24:52.715 of different opportunities for you. 594 00:24:53.165 --> 00:24:55.475 First, if you want to purchase four 595 00:24:55.535 --> 00:24:56.835 or more of those classes, 596 00:24:57.505 --> 00:25:00.155 then you basically have the opportunity 597 00:25:00.415 --> 00:25:02.195 to get a discount on those. 598 00:25:02.655 --> 00:25:04.875 And so that's what we would basically ask you 599 00:25:04.875 --> 00:25:07.395 to do is just say, yes, I'm gonna go ahead 600 00:25:07.655 --> 00:25:12.555 and, uh, share the, the opportunity here for you to, 601 00:25:12.575 --> 00:25:13.795 to take a number of those courses. 602 00:25:14.865 --> 00:25:18.515 Also, it's a good idea to say, well, 603 00:25:18.515 --> 00:25:19.875 let me just maybe try one. 604 00:25:20.015 --> 00:25:22.515 And if that's where you are, then we've got a code 605 00:25:22.655 --> 00:25:24.515 for people who have gone through the webinar 606 00:25:24.775 --> 00:25:27.475 to get a 30% discount on that course rate. 607 00:25:27.975 --> 00:25:29.715 Um, you can use 'em together by the way. 608 00:25:29.895 --> 00:25:33.275 So if you can purchase four courses, you'll get the 30% 609 00:25:33.895 --> 00:25:34.995 off that 1500. 610 00:25:35.615 --> 00:25:37.675 So plus that 1500 discounts. 611 00:25:37.695 --> 00:25:40.755 So it can definitely start to make a difference 612 00:25:40.975 --> 00:25:42.395 as you explore this series. 613 00:25:43.055 --> 00:25:46.115 Um, the QR code will also take you to the dates of all 614 00:25:46.115 --> 00:25:48.395 of the other courses scheduled for 2026. 615 00:25:48.895 --> 00:25:51.035 And so we will be sure 616 00:25:51.175 --> 00:25:53.115 to answer any questions that you've got about that. 617 00:25:53.115 --> 00:25:54.955 There's a link there for you to follow 618 00:25:54.975 --> 00:25:56.115 to get more information. 619 00:25:57.215 --> 00:25:59.515 Um, one of the questions that came out is, 620 00:25:59.545 --> 00:26:00.555 will this be shared? 621 00:26:00.975 --> 00:26:02.355 And, um, I agree, Megan, 622 00:26:02.515 --> 00:26:05.315 I like having raised insight on demand as well. 623 00:26:05.615 --> 00:26:06.635 Yes, indeed it will. 624 00:26:07.055 --> 00:26:10.195 Um, so please don't hesitate to rewatch 625 00:26:10.415 --> 00:26:11.795 and share with, with other folks. 626 00:26:12.615 --> 00:26:16.995 Uh, Joe, I love this question of how do I start to use AI 627 00:26:17.015 --> 00:26:18.115 to examine myself? 628 00:26:18.745 --> 00:26:20.715 It's exciting, but where do I start? 629 00:26:21.415 --> 00:26:24.915 Uh, one of the things that, that I found really useful and, 630 00:26:24.935 --> 00:26:28.675 and I will, um, shamelessly tell you that I have taken a lot 631 00:26:28.675 --> 00:26:30.355 of this from previous courses 632 00:26:30.455 --> 00:26:33.155 and interactions with Ray, is to start 633 00:26:33.185 --> 00:26:34.755 with those basic values. 634 00:26:35.385 --> 00:26:37.835 What is it that I think is really important in the world? 635 00:26:37.985 --> 00:26:42.075 What would I prioritize one thing over another, for example? 636 00:26:42.655 --> 00:26:47.085 And so do I have the opportunity to, um, you know, kind 637 00:26:47.085 --> 00:26:49.325 of clarify what's really important to me? 638 00:26:50.035 --> 00:26:51.725 It's an easy place to start. 639 00:26:52.145 --> 00:26:54.845 Uh, there are a number of of sites out there. 640 00:26:54.865 --> 00:26:57.725 If you just kind of type in values clarification in 641 00:26:58.095 --> 00:27:01.845 Perplexity or even in Google, um, you'll get a sense 642 00:27:01.845 --> 00:27:02.965 of some keywords 643 00:27:03.025 --> 00:27:05.285 or terms that you can start to, to play with. 644 00:27:05.945 --> 00:27:09.485 And that has, I think, a really nice starting point to it. 645 00:27:10.145 --> 00:27:13.445 Um, you could also just start by giving it background. 646 00:27:14.025 --> 00:27:16.605 So the context that we talked about is really important. 647 00:27:17.065 --> 00:27:21.405 Here's what my job is, here's what I ha-- want to do 648 00:27:21.545 --> 00:27:24.725 and my goals are, here are all of the different things 649 00:27:24.795 --> 00:27:27.165 that I am hoping to accomplish. 650 00:27:27.585 --> 00:27:29.125 And at least giving that kind 651 00:27:29.125 --> 00:27:31.125 of context could wind up being really helpful. 652 00:27:31.745 --> 00:27:34.525 Um, so those are the kinds of, of starting points, 653 00:27:35.065 --> 00:27:36.405 but, uh, believe me, 654 00:27:36.405 --> 00:27:38.965 Ray is much more creative than I am in terms 655 00:27:38.965 --> 00:27:40.285 of getting people off the ground. 656 00:27:40.905 --> 00:27:44.405 But don't hesitate to just ask questions or, 657 00:27:44.465 --> 00:27:46.805 or pose questions for things that you would like 658 00:27:46.805 --> 00:27:48.445 to get more insight on into. 659 00:27:49.345 --> 00:27:52.845 Um, we've got this opportunity for a lot of discounts, 660 00:27:52.905 --> 00:27:57.685 and so please do contact us, uh, with regard to here's 661 00:27:57.685 --> 00:27:58.685 what I'm interested in doing. 662 00:27:58.985 --> 00:28:01.165 If you'd like to bring multiple people from a group, 663 00:28:01.265 --> 00:28:03.845 for example, we will work with you to try 664 00:28:03.845 --> 00:28:05.685 to get a price point appropriate for that. 665 00:28:06.705 --> 00:28:10.085 Um, thank you to all of you for being a part of this. 666 00:28:10.385 --> 00:28:12.445 Uh, we really are excited about this series. 667 00:28:13.145 --> 00:28:15.765 Oh, you will start to see over the coming months 668 00:28:15.915 --> 00:28:17.645 that we are profiling each 669 00:28:17.645 --> 00:28:19.645 of these classes in turn with a webinar. 670 00:28:20.265 --> 00:28:24.805 And the next step is Leading with AI: Strategy, where I get 671 00:28:24.825 --> 00:28:27.725 to spend some time with my colleague Will Geoghegan, 672 00:28:28.065 --> 00:28:31.365 as he talks about how to develop strategic thinking skills 673 00:28:32.025 --> 00:28:35.645 and how to use AI to both challenge your thinking 674 00:28:36.145 --> 00:28:40.685 and help you think more broadly about the impact of choices 675 00:28:40.825 --> 00:28:43.125 and decisions that you make on the organization. 676 00:28:43.745 --> 00:28:47.925 Moving forward, you will see finance, marketing, accounting, 677 00:28:48.075 --> 00:28:50.725 negotiation, really a wide variety 678 00:28:50.785 --> 00:28:53.365 of other things across the calendar. 679 00:28:53.825 --> 00:28:57.445 So we would love to see you at one 680 00:28:57.465 --> 00:28:58.965 or more of those classes. 681 00:28:59.935 --> 00:29:02.045 Thank you so much for your time with us today. 682 00:29:02.435 --> 00:29:03.805 Very much appreciate that. 683 00:29:04.195 --> 00:29:06.405 Feel free to share the recording widely, 684 00:29:06.625 --> 00:29:09.725 and we hope to see you in an upcoming Kelley Executive 685 00:29:09.725 --> 00:29:10.485 Education course.

    Meet your instructor

    Ray Luther portrait

    Raymond Luther

    Director, MBA Leadership Academy

    Ray Luther, PHD, PCC, is a senior lecturer of management and entrepreneurship at the Kelley School of Business. He is also the executive director of the Partnership for Coaching Excellence and Personal Leadership and co-founder/co-director of the Kelley MBA Leadership Academy. Ray previously served as the executive director for the Full-Time MBA Program at the Kelley School of Business.

    Ray’s work experience spans a 20+ year career in executive team leadership, strategy, branding, market research, innovation, change management, and operations. Prior to his time at Kelley, he worked at Proctor & Gamble as a director in the Health Care Business Unit across the pharmaceutical and OTC medicine categories. Ray served as a US Army officer in the 3rd Infantry Division, where he was in line roles as a platoon leader and company executive officer in the Medical Service Corps. Ray was a lead designer and founding member of the Kelley MBA Me, Inc. career management course and has personally coached hundreds of students while at Kelley. He coaches MBA students in the practice of leadership, strategic visioning, and coaching others for high performance. Ray teaches leadership, coaching as a leader, and high-performance team development to a number of corporate clients through Kelley Executive Education.

    Ray holds a PhD in Leadership from the University of the Cumberlands and an MBA from the Kelley School of Business. He is a professional certified coach through the International Coaching Federation and is also a certified Hudson Institute coach.

    Questions?

    Email us at kelleypd@iu.edu and a member of our team will be happy to assist you.

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