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Everyday Ethics for AI

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POSTED IN: Cognitive Wingman

Everyday Ethics for AI

From https://medium.com/@milenapribic


https://www.ibm.com/watson/assets/duo/pdf/everydayethics.pdf


"Everyday Ethics for Artificial Intelligence is a framework for AI ethics that you and your team can immediately put into practice. We partnered with Francesca Rossi, IBM’s global leader for AI ethics, to distill a variety of information and perspectives into a digestible and actionable guide for designers and developers."


We organized this guide around five main focus areas that align with IBM’s Principles for Trust and Transparency:
1. Accountability: AI designers & developers are responsible for considering AI design, development, decision processes, & outcomes.
2. Value Alignment: AI should be designed with consideration of the norms and values of your user group.
3. Explainability: AI should be designed for humans to easily perceive, detect, and understand its decision process.
4. User Data Rights: AI should be designed to protect user data and preserve the user’s power over access and uses.
5. Fairness: AI should be designed to minimize bias and promote inclusive representation.

 

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About the Author

Ryan Anderson

Ryan Anderson

Hi! I like to play with data, analytics and hack around with robots and gadgets in my garage. Lately I've been learning about machine learning.

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Cognitive Wingman - Never Walk Alone

Created: December 20, 2016

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