Everyday Ethics for Artificial Intelligence

By Francesca Rossi et al
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Table of Contents

Using this Document
Introduction
Five Practices of Everyday Ethics
Consider outcomes
Align with norms and values
Minimize bias and improve inclusivity
Ensure explainability
Protect user data
Closing
References
Ethics must be embedded in the design and development process from the very beginning of AI creation. Everyday Ethics for AI is meant to guide team discussions and daily practices.
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Summary

Everyday Ethics for Artificial Intelligence is a document that emphasizes the importance of ethical considerations in the design and development of AI systems. It provides guidance on five key practices of everyday ethics, including taking accountability for outcomes, aligning with norms and values, minimizing bias, ensuring explainability, and protecting user data. The document highlights the need for designers and developers to be aware of ethical issues and collaborate to address them. It also discusses the role of diverse teams in minimizing biases and promoting inclusive representation in AI systems.
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