Philosopher's Zone AI, reliability and trust
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Mar 18, 2025 Sam Barron, an Associate Professor of Philosophy at the University of Melbourne, delves into the intricate relationship between AI and trust. He discusses the challenges of trusting black box AI systems, emphasizing the need for transparency. Barron explores how we should navigate our reliance on AI, pointing out that while these systems offer predictive power, they lack accountability. He warns against blindly anthropomorphizing AI, arguing that true trust hinges on understanding the intentions behind AI decisions, not just their outcomes.
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AI Opacity
- AI systems, like ChatGPT, are built on deep neural nets, mimicking the human brain.
- Their complexity makes their inner workings inscrutable, even to creators.
Trust and Opacity
- People are hesitant to trust black box AI due to its opacity and complexity.
- This is a natural response, similar to distrusting other complex, unexplained systems.
Government Policy on AI
- The Australian government's policy recommends explainable AI to increase public trust.
- Explainability is crucial for justifying AI's decisions, especially in sensitive areas.