This Week in Responsible AI

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May 24, 2024

This Week in Responsible AI, May 24, 2024

This Week in Responsible AI, May 24, 2024

I was on vacation for a couple of weeks, so this issue is a jumbo one!

Labor

  • Tech workers speak up about rushing "AI" to market
  • “I hope this isn’t for weapons.” How Syrian data workers train AI

Tools and Frameworks

  • Measuring User Experience Inclusivity in Human-AI Interaction via Five User Problem-Solving Styles
  • Fishing for Magikarp: Automatically Detecting Under-trained Tokens in Large Language Models
  • Operationalizing content moderation "accuracy" in the Digital Services Act
  • Building, Shifting, & Employing Power: A Taxonomy of Responses From Below to Algorithmic Harm
  • Algorithmic Harms and Algorithmic Wrongs
  • Energy Star Ratings for AI Models
  • Societal Adaptation to Advanced AI
  • Towards Guaranteed Safe AI: A Framework for Ensuring Robust and Reliable AI Systems
  • Introducing the Frontier Safety Framework
  • AI Safety Institute releases new AI safety evaluations platform

Fakes

  • ‘I Want That Sweet Baby’: AI-Generated Kids Draw Predators On TikTok And Instagram
  • White House pushes tech industry to shut down market for sexually abusive AI deepfakes
  • We have to stop ignoring AI’s hallucination problem
  • Meet AdVon, the AI-Powered Content Monster Infecting the Media Industry
  • As AI becomes more human-like, experts warn users must think more critically about its responses
  • Google promised a better search experience — now it’s telling us to put glue on our pizza
  • Mastermind behind Biden AI robocalls faces potential $6M fine from FCC

Copyright

  • ChatGPT to lose voice over Johansson similarity
  • Consent and Compensation: Resolving Generative AI’s Copyright Crisis
  • How African NLP Experts Are Navigating the Challenges of Copyright, Innovation, and Access

Bias

  • Humane Intelligence Algorithmic Bias Bounty
  • The Dark Side of Dataset Scaling: Evaluating Racial Classification in Multimodal Models
  • Perceptions in Pixels: Analyzing Perceived Gender and Skin Tone in Real-world Image Search Results
  • The Silicon Ceiling: Auditing GPT's Race and Gender Biases in Hiring

Transparency

  • The CLeAR Documentation Framework for AI Transparency: Recommendations for Practitioners & Context for Policymakers
  • Foundation Model Transparency Reports
  • TikTok will automatically label AI-generated content created on platforms like DALL·E 3
  • Transparency in the Wild: Navigating Transparency in a Deployed AI System to Broaden Need-Finding Approaches
  • Using Degeneracy in the Loss Landscape for Mechanistic Interpretability
  • The Local Interaction Basis: Identifying Computationally-Relevant and Sparsely Interacting Features in Neural Networks

Law/Policy

  • US intelligence agencies’ embrace of generative AI is at once wary and urgent
  • EU member states sign off on the AI Act
  • Colorado governor signs sweeping AI regulation bill
  • UK watchdog looking into Microsoft AI taking screenshots
  • Data and Society policy brief: AI governance needs sociotechnical expertise
  • Writers and publishers in Singapore reject a government plan to train AI on their work
  • Defining AI incidents and related terms
  • The FTC has some research questions about AI that they would love help on
  • Computational Law and Access to Justice
  • The algorithmic administration: automated decision-making in the public sector

Other

  • Promises and pitfalls of artificial intelligence for legal applications
  • AI Chatbot Credited With Preventing Suicide. Should It Be?
  • How news coverage, often uncritical, helps build up the AI hype
  • Generative AI red teaming challenge: transparency report
  • OpenAI disbands its 'safety' team
  • Meta’s new AI council is composed entirely of white men
  • Google’s call-scanning AI could dial up censorship by default, privacy experts warn
  • LLMs’ Data-Control Path Insecurity

Compiled by Leif Hancox-Li

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