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Justin Sheehy on Being a Responsible Developer in the Age of AI Hype

The InfoQ Podcast

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Being a Responsible Developer in the Age of AI Hype

The chapter emphasizes the importance of responsible data selection for AI models in software development to prevent bias laundering and potential discriminatory outcomes. It discusses the risks of incorporating biases from the internet into AI systems and advocates for thorough testing and cautious integration of AI into larger software systems.

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