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June 6, 2025 70 mins
Keywords AI, human-centric design, digital twin, personal intelligence, team dynamics, ethics, data ownership, future of work, meetings, AI literacy, personal intelligence, compensation structures, knowledge management, trust, transparency, ethical AI, human-centric AI Summary In this episode, Bob Pulver and Chris Heuer explore the intersection of artificial intelligence and humanity, discussing the implications of AI on teamwork, employment, and the future of work. They dive into concepts like digital twins and personal intelligence, emphasizing human-centric design and ethical considerations in AI integration. The conversation highlights the need for a shift in how we view collaboration and collective intelligence in the age of AI, while advocating for a more thoughtful approach to technology that prioritizes human values and relationships. Bob and Chris talk about AI literacy and readiness, and the implications for compensation structures in the workplace. They discuss ethical considerations surrounding AI design and use, and AI's influence on both career trajectories and organizational dynamics.  Takeaways AI must be integrated with a focus on humanity. Understanding the long-term implications of AI is crucial. Digital twins represent personalized AI versions of ourselves. Terminology in AI shapes public perception and understanding. Ethical considerations are vital in AI development. Data ownership and privacy are essential in the AI landscape. Meetings should evolve into collaborative conversations. Calibrated trust in AI systems is necessary for effective use.  AI literacy encompasses ethical use and understanding privacy implications. Explaining AI's logic is crucial for trust and transparency. Sharing knowledge enhances personal and organizational growth. Compensation structures must adapt to recognize personal intelligence. Digital twins can optimize decision-making in teams. Curation of personal intelligence data is essential for quality. Licensing personal intelligence could reshape employment models. Trust is vital in navigating AI's impact on work. Organizations must prioritize human-centric approaches to AI. Sound Bites "AI needs to start grounded in our humanity." "What does it mean for our roles in organizations?" "We need to consider human factors in AI integration." "AI can be a teammate, not just a tool." "We need to protect the value of human work." "Calibrated trust is essential with AI agents." "Sharing is power." "You could license me and charge $200 an hour." "Terminology has meaning, right?" Chapters 00:00 Introduction to AI and Humanity 02:59 The Role of AI in Team Dynamics 06:01 Understanding Digital Twins and Personal Intelligence 08:54 The Implications of AI on Employment 12:10 Navigating Terminology in AI 14:58 The Future of Work and AI Integration 18:06 Personal Intelligence vs. Collective Intelligence 20:57 The Ethics of AI and Data Ownership 23:46 The Evolution of Meetings in the AI Era 27:02 Calibrated Trust in AI Systems 34:37 Understanding AI Literacy and Its Components 39:05 The Role of Personal Intelligence in Compensation 45:49 Navigating Knowledge Management and Digital Twins 50:04 Curating Personal Intelligence for Future Value 56:34 The Future of Work: Licensing Personal Intelligence 01:01:11 Trust and Transparency in the Age of AI Chris Heuer: https://www.linkedin.com/in/chrisheuer Team Flow Institute: https://teamflow.institute/ For advisory work and marketing inquiries: Bob Pulver:⁠ ⁠https://linkedin.com/in/bobpulver⁠⁠ Elevate Your AIQ:⁠ ⁠https://elevateyouraiq.com⁠⁠ Substack: https://elevateyouraiq.substack.com Thanks to Warden AI (⁠⁠https://warden-ai.com⁠⁠) for their sponsorship and support of the show! Warden is an AI assurance platform for HR technology to demonstrate AI-powered so
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