Daily Newsletter


Newsletter archives are here

Posts

Explainable AI
IBM, 2021/12/15

"Explainable artificial intelligence (XAI) is a set of processes and methods that allows human users to comprehend and trust the results and output created by machine learning algorithms."

Web: [Direct Link] [This Post]

Researchers Publish Survey of Explainable AI
Anthony Alford, InfoQ, 2021/12/15

The survey covers the work of 67 papers and charts recent trends in the field. "Deep-learning pioneer Geoffrey Hinton downplayed the need for explainability, tweeting: Suppose you have cancer and you have to choose between a black box AI surgeon that cannot explain how it works but has a 90% cure rate and a human surgeon with an 80% cure rate. Do you want the AI surgeon to be illegal?"

Web: [Direct Link] [This Post]

Explanation in Artificial Intelligence: Insights from the Social Sciences
Tim Miller, arXiv, 2021/12/15

"There exists vast and valuable bodies of research in philosophy, psychology, and cognitive science of how people define, generate, select, evaluate, and present explanations.... This paper argues that the field of explainable artificial intelligence should build on this existing research."

Web: [Direct Link] [This Post]

Videos

Explainable AI

Most discussions of ethics and analytics eventually turn to the idea that automated decisions should be explainable. In this video I outline the reasoning for this, some approaches to explainable AI, and what it means in a wider context.

[PDF] [PPTx] [Audio] [Video] [Transcript]



RSS: https://ethics.mooc.ca/course_newsletter.xml