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ExplanationIntermediate

How does the text describe the 'black box' problem in deep learning models and why is it a challenge in domains like criminal justice and healthcare?

The text says deep learning models are so complex that even specialists struggle to explain their results, which is why they are called a 'black box.' This opacity is a challenge in criminal justice and healthcare because decisions in those domains must be just and transparent.

Key points

  • Deep learning models are described as a 'black box' because their complexity makes results difficult to explain, even for specialists.
  • In criminal justice and healthcare, decision-making must be both just and transparent.
  • The opacity of deep learning models poses difficulties in these domains because it undermines the ability to provide clear, accountable reasoning for important judgments.
Source:AI and the Future of Democracy: Building Resilient and Inclusive Societies· Computer vision for public policy: Technological foundations, practical use cases, and ethical considerations· p. 92–93
Cover of AI and the Future of Democracy: Building Resilient and Inclusive Societies

AI and the Future of Democracy: Building Resilient and Inclusive Societies

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First edition · CRC Press

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