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Making Fairness an Intrinsic Part of Machine Learning
Editor’s Note: At ODSC Europe 2019, Sray Agarwal will conduct a workshop on fairness and accountability demonstrating how to detect bias and remove bias from ML models.   The suitability of Machine Learning models is traditionally measured on its accuracy. A highly accurate model based on metrics like RMSE,... Read more
Why Effective and Ethical AI Needs Human-Centered Design
Data science is about a half-century old in the way we think of it now, but with the advent of AI, we’re reaching a precipice of how we want to model our AI initiatives. Moving forward with not just effective but ethical AI, we need a human-centered design principle.... Read more
AI Ethics: Avoiding Our Big Questions
A lot of discussion over AI is hyperbolic comparisons to the Terminator. While this isn’t helpful to the discussion, addressing ethics concerns with bigger, faster AI on the horizon is a necessary part of development. Instead of willful ethics violations, we may have more trouble with ignoring the potential... Read more