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People Aren’t Data: How to be an AI Savvy Leader with David De Cremer

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内容由Sian Harrington提供。所有播客内容(包括剧集、图形和播客描述)均由 Sian Harrington 或其播客平台合作伙伴直接上传和提供。如果您认为有人在未经您许可的情况下使用您的受版权保护的作品,您可以按照此处概述的流程进行操作https://zh.player.fm/legal

In this episode of Work’s Not Working Siân Harrington speaks with AI and leadership expert David De Cremer about the challenges business leaders face when integrating AI into the workplace. They explore how the rush to adopt AI can often miss the mark by focusing too much on technological solutions and not enough on the human elements that make successful AI integration possible.

David argues that leaders are often overwhelmed by AI’s potential and mistakenly delegate the responsibility to tech experts, which results in a lack of alignment between AI’s use and the organisation’s business goals. He highlights the need for an "AI-enabling" culture, where AI serves human intelligence rather than replacing it, and stresses that ethical and human-centred approaches are essential for long-term success.

Throughout the conversation David shares practical strategies for fostering a balanced approach to AI adoption, ensuring that it augments human creativity and decision-making. He also touches on how leaders can upskill their teams, manage the risks of over-reliance on AI and avoid the pitfalls of treating people as mere data points.

Key Takeaways

  • AI as an enabler, not a replacement: David emphasizes that AI should be seen as a tool to support human decision-making rather than something that diminishes human involvement. Leaders must create AI-enabling cultures that put people first.
  • Leadership’s role in AI adoption: Leaders often feel disconnected from AI implementation, delegating it to tech teams. David highlights the importance of leaders being AI-savvy, actively participating in the process and aligning AI use with business goals.
  • Human-centred leadership: The conversation underscores that AI adoption should not reduce employees to data points. Ethical upskilling and clear communication about AI’s role are critical to maintaining trust and employee engagement.
  • Balancing innovation with responsibility: David warns of the dangers of rushing into AI adoption due to competitive pressures. Thoughtful implementation that considers both the opportunities and challenges of AI is key to realising its benefits.
  • Soft skills in the AI era: As AI takes on more technical tasks, soft skills like empathy, creativity and collaboration become even more important. Leaders must foster these skills in themselves and their teams to thrive in an AI-driven future.

About David De Cremer
Professor David De Cremer is a world-renowned expert in leadership and organisational transformation in the AI era and author of The AI Savvy Leader: Nine Ways to Take Back Control and Make AI Work

Interested in insights about people leadership, HR and the future of work?
Seize and shape the future of work with The People Space, a leading digital HR magazine for forward-thinking leaders. We empower you to put people at the heart of work, navigating the evolving intersection of technology, business and human insight. Join us in building a future where people and machines collaborate for a more human-centric workplace

  continue reading

章节

1. Introduction to AI Leadership Challenges (00:00:00)

2. Episode Overview: Why AI-Savvy Leadership is Essential (00:01:12)

3. The Pressures of AI in the Workplace (00:04:27)

4. The Dangers of Over-relying on AI in Decision-Making (00:06:45)

5. Lessons from Previous Technology Missteps (00:09:21)

6. What it Means to be an AI-Savvy Leader (00:14:30)

7. Challenges in Upskilling for AI-Savviness (00:20:01)

8. Organisations Getting AI Right (and Wrong) (00:22:23)

9. The Fear of AI and Job Replacement (00:26:08)

10. Creativity and the Risk of Mediocrity with AI (00:30:30)

11. Balancing AI Adoption with Human-Centred Implementation (00:31:40)

12. Using AI as a Business Leader (00:36:04)

13. The Role of HR in AI Adoption (00:39:12)

14. Key Steps to Becoming AI-Savvy (00:43:23)

15. Closing Thoughts: Risks of AI Bans (00:45:20)

20集单集

Artwork
icon分享
 
Manage episode 441623842 series 3445526
内容由Sian Harrington提供。所有播客内容(包括剧集、图形和播客描述)均由 Sian Harrington 或其播客平台合作伙伴直接上传和提供。如果您认为有人在未经您许可的情况下使用您的受版权保护的作品,您可以按照此处概述的流程进行操作https://zh.player.fm/legal

In this episode of Work’s Not Working Siân Harrington speaks with AI and leadership expert David De Cremer about the challenges business leaders face when integrating AI into the workplace. They explore how the rush to adopt AI can often miss the mark by focusing too much on technological solutions and not enough on the human elements that make successful AI integration possible.

David argues that leaders are often overwhelmed by AI’s potential and mistakenly delegate the responsibility to tech experts, which results in a lack of alignment between AI’s use and the organisation’s business goals. He highlights the need for an "AI-enabling" culture, where AI serves human intelligence rather than replacing it, and stresses that ethical and human-centred approaches are essential for long-term success.

Throughout the conversation David shares practical strategies for fostering a balanced approach to AI adoption, ensuring that it augments human creativity and decision-making. He also touches on how leaders can upskill their teams, manage the risks of over-reliance on AI and avoid the pitfalls of treating people as mere data points.

Key Takeaways

  • AI as an enabler, not a replacement: David emphasizes that AI should be seen as a tool to support human decision-making rather than something that diminishes human involvement. Leaders must create AI-enabling cultures that put people first.
  • Leadership’s role in AI adoption: Leaders often feel disconnected from AI implementation, delegating it to tech teams. David highlights the importance of leaders being AI-savvy, actively participating in the process and aligning AI use with business goals.
  • Human-centred leadership: The conversation underscores that AI adoption should not reduce employees to data points. Ethical upskilling and clear communication about AI’s role are critical to maintaining trust and employee engagement.
  • Balancing innovation with responsibility: David warns of the dangers of rushing into AI adoption due to competitive pressures. Thoughtful implementation that considers both the opportunities and challenges of AI is key to realising its benefits.
  • Soft skills in the AI era: As AI takes on more technical tasks, soft skills like empathy, creativity and collaboration become even more important. Leaders must foster these skills in themselves and their teams to thrive in an AI-driven future.

About David De Cremer
Professor David De Cremer is a world-renowned expert in leadership and organisational transformation in the AI era and author of The AI Savvy Leader: Nine Ways to Take Back Control and Make AI Work

Interested in insights about people leadership, HR and the future of work?
Seize and shape the future of work with The People Space, a leading digital HR magazine for forward-thinking leaders. We empower you to put people at the heart of work, navigating the evolving intersection of technology, business and human insight. Join us in building a future where people and machines collaborate for a more human-centric workplace

  continue reading

章节

1. Introduction to AI Leadership Challenges (00:00:00)

2. Episode Overview: Why AI-Savvy Leadership is Essential (00:01:12)

3. The Pressures of AI in the Workplace (00:04:27)

4. The Dangers of Over-relying on AI in Decision-Making (00:06:45)

5. Lessons from Previous Technology Missteps (00:09:21)

6. What it Means to be an AI-Savvy Leader (00:14:30)

7. Challenges in Upskilling for AI-Savviness (00:20:01)

8. Organisations Getting AI Right (and Wrong) (00:22:23)

9. The Fear of AI and Job Replacement (00:26:08)

10. Creativity and the Risk of Mediocrity with AI (00:30:30)

11. Balancing AI Adoption with Human-Centred Implementation (00:31:40)

12. Using AI as a Business Leader (00:36:04)

13. The Role of HR in AI Adoption (00:39:12)

14. Key Steps to Becoming AI-Savvy (00:43:23)

15. Closing Thoughts: Risks of AI Bans (00:45:20)

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