Special Episode 3: Humans-In-The-Loop (HITL)

keywordsAI, Human in the Loop, HITL, collaboration, design, automation, trust, user experience, technology, leadershipsummaryIn this episode, Duncan Potter discusses the importance of designing AI systems with a human in the loop (HITL) approach. He shares real-world examples where HITL has been successfully implemented, emphasizing the need for collaboration between humans and AI rather than control. The episode outlines a framework called the three Rs of HITL: Review, Refine, and Reject, which helps integrate human judgment into AI processes. The conversation concludes with a call to action for leaders to design systems that empower people as partners in the AI journey.takeaways

• Human in the loop (HITL) is essential for AI success.
• AI systems should involve people actively, not just as backups.
• Real-world examples illustrate the benefits of HITL.
• Automation without agency leads to abandonment.
• People need to understand AI recommendations' rationale.
• HITL enhances trust and user engagement with AI tools.
• The three Rs of HITL are Review, Refine, and Reject.
• Designing for collaboration improves AI effectiveness.
• Human feedback is crucial for AI model improvement.
• Leaders should design systems that empower users.