This Week in Responsible AI: September 4, 2023

        September 4, 2023

This Week in Responsible AI: September 4, 2023

    This Week in Responsible AI: September 4, 2023
Tools and How-tos

3 Questions to Ask When Buying AI to Assess Responsibility and Trustworthiness

How to stop Meta from using some of your personal data to train generative AI models

Meta releases a dataset to probe computer vision models for biases

Transparency

YouTube demystifies the Shorts algorithm, views and answers other creator questions

Algorithmic harms

'Our findings suggest that YouTube’s algorithms were not sending people down “rabbit holes” during our observation window in 2020, possibly due to changes that the company made to its recommender system in 2019. However, the platform continues to play a key role in facilitating exposure to content from alternative and extremist channels among dedicated audiences.'

«When AI systems are used, they are usually used for surveillance»

Person died after Cruise cars blocked ambulance, SFFD says

How AI Researcher Dylan Baker Uses Technical Communication to Reduce Algorithmic Harm

Law/Policy

A comprehensive and distributed approach to AI regulation

All hail the new EU law that lets social media users quiet quit the algorithm

US federal agencies put out a request for comment on Health Data, Technology, and Interoperability: Certification Program Updates, Algorithm Transparency, and Information Sharing

Generative AI

Generative AI and intellectual property

A Harbinger of the Future of Content? The New York Times Starts a Data Strike

Large language models aren’t people. Let’s stop testing them as if they were.

Datasets as Imagination

AI tools make things up a lot, and that’s a huge problem

Generative AI closes off a better future

            Compiled by Leif Hancox-Li

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