January 25, 2024

This Week in Responsible AI: Jan 25, 2023

This Week in Responsible AI: Jan 25, 2023

Methods

• Benchmarking the Robustness of Image Watermarks

• Undesirable Biases in NLP: Addressing Challenges of Measurement

• Towards a Non-Ideal Methodological Framework for Responsible ML

• Salesforce Ethical AI Architect on Safety Culture in the Era of Artificial Intelligence

• Ranjit Singh reflects on the possibilities and limits of red-teaming for AI accountability

Fakes

• Fake Joe Biden robocall tells New Hampshire Democrats not to vote Tuesday

• A ‘Shocking’ Amount of the Web Is Already AI-Translated Trash, Scientists Determine

Privacy

• 48,000 companies sent Facebook data on a single person

• The Subversive AI Acceptance Scale (SAIA-8): A Scale to Measure User Acceptance of AI-Generated, Privacy-Enhancing Image Modifications

• Shaping the future: A dynamic taxonomy for AI privacy risks

Law/Policy

• Draft EU AI Act: 4-column version; draft version (4th column in previous link) only

• Null Compliance: NYC Local Law 144 and the Challenges of Algorithm Accountability

• There are holes in Europe’s AI Act — and researchers can help to fill them

• WHO releases AI ethics and governance guidance for large multi-modal models

• Insider Q&A: Small federal agency crafts standards for making AI safe, secure and trustworthy

• Why generative AI copyright lawsuits' emphasis on output similarity is a distraction

Other

• The Who in Explainable AI: How AI Background Shapes Perceptions of AI Explanations

• How an algorithm denied food to thousands of poor in India’s Telangana

• When Kindness Kills: How algorithms accelerate savior swarms

• The Cadaver in the Machine: The Social Practices of Measurement and Validation in Motion Capture Technology

• ‘Very scary’: Mark Zuckerberg’s pledge to build advanced AI alarms experts

• FinRegLab webinar: Emerging Issues in the Use of AI and ML in Financial Services

Compiled by Leif Hancox-Li