Bob Pulver catches up with advisor, executive coach, entrepreneur, and NY Times best selling author Charlene Li about AI-driven transformation and the importance of remaining human-centric. Charlene has written numerous books on this subject (her seventh book is coming soon!) and is continuously educating leaders and organizations worldwide on how to get it right. They spoke about AI-driven transformation and how it differs from prior transformation initiatives. Charlene shared invaluable insights on strategic alignment and leadership buy-in to shrink the ‘knowing-doing-leading’ gap. Importantly, Charlene and Bob dig into the crucial role of Responsible AI in ensuring positive outcomes for all stakeholders. Charlene also shares examples of organizations that have successfully embraced AI and offers practical advice for gaining AI knowledge and skills. How are you bridging the knowing-doing-leading gap? How will AI help you ask better questions, and think differently? Charlene's extensive expertise in digital transformation and human-centric approaches to technology make this episode a must-listen for anyone interested in the future of work and how AI can augment and empower us (humans, that is).
Keywords
AI-driven transformation, human-centric, digital transformation, strategic alignment, leadership buy-in, responsible AI, data literacy, data governance
Takeaways
- AI-driven transformation is an opportunity to change the way organizations operate and upend the status quo.
- Strategic alignment and leadership buy-in are crucial for successful AI implementation.
- Responsible AI requires a focus on data literacy, data governance, and ethical use of AI.
- Customization and personalization of AI tools can enhance their effectiveness and impact.
- Building AI tools in-house can make organizations more knowledgeable buyers and ensure solutions that solve real problems.
Sound Bites
- "AI upends the way we work and changes the way we relate to each other."
- "AI transformation requires strategic alignment and thinking big."
- "Executives need AI literacy and must transform themselves before leading AI implementation."
- "Until you can see the power of AI directly benefiting you, you can't begin to think about how to lead an organization in using AI."
Chapters
00:00 Introduction and Background
02:21 Comparing AI-driven Transformation to Previous Transformations
04:39 Strategic Alignment and Leadership Buy-in
06:16 Becoming AI Literate as a Leader
09:14 Responsible AI: Data Literacy and Governance
13:18 Responsible AI: Speeding Things Up with Clear Guidelines
16:11 Example of Successful AI Implementation: AARP
18:05 Responsible AI: Setting Up AI Ethics Committees
20:24 Responsible AI: Responsible Use of Data and Access
22:25 Building AI Tools In-house: Customization and Personalization
26:04 Building AI Tools In-house: Minimal Viable Team
29:32 Responsible AI: Imagination and Curiosity
32:28 Responsible AI: Responsible Use of All AI Technologies
40:33 Customization and Personalization of AI Tools
46:25 Building AI Tools In-house: Becoming Knowledgeable Buyers
Charlene Li: https://charleneli.com/
Charlene’s books: https://charleneli.com/books/
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