The Product Experience

AI ethics advice from former White House technologist - Kasia Chmielinski

8 snips
Dec 11, 2024
Kasia Chmielinski, co-founder of The Data Nutrition Project and former advisor to the UN and White House, shares her insights on responsible AI in product management. She emphasizes the need to balance innovation with ethical considerations, advocating for transparency in data usage. Kasia discusses the importance of including marginalized user groups to create inclusive products and explores the significance of qualitative data labeling for better understanding AI datasets. Her experience with large organizations adds depth to her views on navigating the ethics of technology.
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ADVICE

Center Marginalized Users

  • Center marginalized users when designing new products.
  • Monitor product usage and gather feedback to address gaps and biases retrospectively.
ADVICE

Refuse and Redirect

  • Refuse to build harmful products or redirect efforts towards better solutions.
  • Frame refusal as a redirection by proposing alternative solutions that address the underlying problem.
ADVICE

AI as a Process

  • Treat AI development as a continuous process, not just a product launch.
  • Implement checks and feedback loops throughout the AI lifecycle to address issues early and mitigate harm.
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