Frameworks for Designing Artificial Intelligence

By Jennifer Aaker, Fei Fei Li, Thomas Higginbotham, Zoe Weinberg, Wendy De La Rosa
2020 | Case No. ETH21 | Length 4 pgs.
The past two years have produced incredible momentum within the industry and academia to manage the risks associated with artificial intelligence (AI). These efforts have led to several frameworks that guide AI from design to deployment and beyond. This case outlines several of the most common frameworks—such as Safe AI or Responsible AI—and highlights the key tenets and principles common to each.

Learning Objective

This case provides an overview of artificial intelligence concepts that are critical for responsible and ethical leadership of the technology. It is meant as a primer with additional materials for deeper discussion and exploration into the topic.
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