Resolving code review comments with ML

Favorite Posted by Alexander Frömmgen, Staff Software Engineer, and Lera Kharatyan, Senior Software Engineer, Core Systems & Experiences Code-change reviews are a critical part of the software development process at scale, taking a significant amount of the code authors’ and the code reviewers’ time. As part of this process, the

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Shared by Google AI Technology May 23, 2023

Responsible AI at Google Research: PAIR

Favorite Posted by Lucas Dixon and Michael Terry, co-leads, PAIR, Google Research PAIR (People + AI Research) first launched in 2017 with the belief that “AI can go much further — and be more useful to all of us — if we build systems with people in mind at the

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Shared by Google AI Technology May 18, 2023

Larger language models do in-context learning differently

Favorite Posted by Jerry Wei, Student Researcher, and Denny Zhou, Principal Scientist, Google Research There have recently been tremendous advances in language models, partly because they can perform tasks with strong performance via in-context learning (ICL), a process whereby models are prompted with a few examples of input-label pairs before

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Shared by Google AI Technology May 15, 2023

Consensus and subjectivity of skin tone annotation for ML fairness

Favorite Posted by Candice Schumann, Software Engineer, and Gbolahan O. Olanubi, User Experience Researcher, Google Research Skin tone is an observable characteristic that is subjective, perceived differently by individuals (e.g., depending on their location or culture) and thus is complicated to annotate. That said, the ability to reliably and accurately

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Shared by Google AI Technology May 15, 2023