Ethical Machines Accuracy Isn’t Enough
6 snips
Jun 19, 2025 
Will Landecker, CEO of Accountable Algorithm and former responsible AI practitioner at notable tech companies, dives into why accuracy is just one metric in AI performance. He discusses balancing accuracy with relevance and ethical considerations, stressing the importance of explainability in AI systems. The conversation also touches on the challenges of multi-agent AI working together and the need for interdisciplinary collaboration to ensure ethical outcomes in algorithmic decision-making.
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Accuracy Is Not Enough
- Accuracy alone is insufficient for AI; relevance and normative considerations matter too.
- We want AI models to be truthful, relevant, friendly, unbiased, and not toxic.
Accurate but Irrelevant Example
- Saying "I don't have a dog" is accurate but irrelevant to whether someone earned a PhD.
- People often justify irrelevant comments by claiming honesty, but relevance matters in communication.
Align AI with Human Values
- Beyond accuracy, AI models need to align with human values like helpfulness, minimizing harm, and sensibility.
- This demands hybrid approaches combining technical tuning with human feedback and ethical ideals.
