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Philosophy Bites

Peter Railton on AI and Ethics

Jul 1, 2022
25:18

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Podcast summary created with Snipd AI

Quick takeaways

  • The challenge of incorporating ethics into AI systems lies in defining boundaries for machine responsibility without granting them full moral agency.
  • Developing communities of cooperation with artificial agents can improve problem-solving and decision-making, but humans must not relinquish their responsibility to machines.

Deep dives

AI and Ethics: The Challenge of Building Ethics into Machines

Humans are creating artificial intelligence machines that are already making important decisions in our lives. The challenge is to build ethics into these machines. AI systems that learn are the most relevant kind of intelligence. Unlike older AI methods that relied on logical processing and human programming, learning machines have the potential to advance our understanding and decision-making processes. For instance, AlphaGo, a learning AI system, was able to discover new strategies and defeat a world champion in the game of Go. However, giving machines responsibilities raises questions about holding them accountable and ensuring moral decision-making. While machines can have responsibilities, they lack self-reflection, consciousness, and moral emotions that are crucial for full moral agency. Nonetheless, societies must seriously consider the ethical implications and determine how machines can respond to morally relevant features of situations.

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