Three people-centered design principles for deep learning

Taking the human perspective in all technology achievements.

“​Our people-centered design principles support the goal of providing and informing with data to allow people more opportunities in their work. In our experience, there are three key principles organizations need to hold up as pillars for any AI implementation: transparency, explainability, and reversibility. (…) There are three methods that companies can take to put these principles into action in their AI projects. These methods aim to reduce the risk of introducing poorly tuned AI systems and inaccurate or biased decision-making in pilots and implementations.”

David A. Bray et al. ~ MIT Sloan Management Review

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