Why Trust & Entrustment Are Not Enough: Moving from Delegation to Coherence
📰 Medium · AI
Learn why trust and entrustment are insufficient for AI systems and how to move towards coherence
Action Steps
- Read the essay series on Trust & Entrustment in AI and Autonomous Systems to understand the context
- Analyze the differences between delegation, trust, and entrustment in AI systems
- Apply the concept of coherence to AI system design, focusing on alignment and reliability
- Evaluate the trade-offs between trust, entrustment, and coherence in AI decision-making
- Develop strategies to integrate coherence into existing AI frameworks and architectures
Who Needs to Know This
AI researchers and engineers can benefit from understanding the limitations of trust and entrustment in AI systems, while product managers and designers can apply coherence principles to develop more reliable AI products
Key Insight
💡 Coherence is a more comprehensive approach than trust and entrustment for developing reliable AI systems
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🤖 Trust & entrustment are not enough for AI systems. Move towards coherence for more reliable AI #AI #Trust #Coherence
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