Ethical Machines The Ethical Nightmare Challenge
Apr 23, 2026
A witty introduction to a new book on why traditional Responsible AI guidance breaks down with agentic systems. A cat vs tiger analogy explains the shift from narrow to generative AI. Practical steps for organizations to identify and train against AI nightmares are proposed. Legal, privacy, hallucination, bias, and automation risks are highlighted without technical jargon.
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Ethics As The Rope That Enables Risky Climbing
- Reid compares the Ethical Nightmare Challenge to a climbing rope: it doesn't improve innovation but enables safe ascent and non-reckless deployment of transformative AI.
- The rope analogy frames ethics as enabling risk-taking rather than restricting value.
Simple Definition That Unlocks Risks
- Reid defines AI plainly: 'AI is software that learns by example', repeating it multiple times to make the concept accessible to non-technical audiences.
- He emphasizes asking 'what examples/data did you use to train your AI' as the crucial, non-technical question.
Training Data Guarantees Certain Ethical Failures
- Reid argues that because AI learns by example, ethical nightmares are probable or guaranteed: bad training examples produce defective AI and biased outputs.
- He uses examples like biased mortgage approvals and limited photo datasets to show how training data drives failure modes.




