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Deep Talks | Cultural Theology with Paul Anleitner

Can We Teach A.I. to be Christian? (Part 1) | Sam Tideman

Jan 16, 2024
Sam Tideman, a Harvard-trained data scientist, discusses the ethical implications of AI decision-making in life-and-death situations. They explore the possibility of teaching AI to be Christian and the need for a moral framework. The podcast also touches on biases in healthcare and the challenges of transitioning to a more secular approach. Overall, an engaging conversation about AI and its impact on society.
49:59

Episode guests

Podcast summary created with Snipd AI

Quick takeaways

  • AI machines lack a clear moral framework in healthcare, leading to potential biases and unfair outcomes.
  • The decline of religious influence in healthcare highlights the need for a well-defined moral framework to address ethical challenges and avoid biases in decision-making.

Deep dives

The Challenge of Teaching AI to Be Moral in Healthcare

Moral decision-making in the healthcare field is complex and often subjective. AI machines, despite their capabilities, cannot inherently determine moral outcomes. Their training data largely determines their behavior, and if that data is biased or unfair, the AI will mimic that bias. AI models are trained to imitate previous human decisions, but they lack the ability to self-correct or adapt to new situations. AI triage systems, for example, may imitate biased decisions made by human registration staff, leading to unfair outcomes. The liability for these decisions is complex and can involve individuals like data scientists or IT managers, the hospital system, or even the CEO. The lack of a clear moral framework in healthcare further complicates the use of AI in making moral judgments.

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