AN INDEPENDENT PUBLIC INTEREST INITIATIVE WORKING FOR TRANSPARENT, OPEN AND ACCOUNTABLE TECHNOLOGY
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The companion bot is causing serious harm to the mental health and well-being of its users, amongst other things. But it's leaders appear more preoccupied by "innovation" and money than safety, transparency and accountability.
Image: Washington Post
Featured dataset 🔢
Google and Meta large language models were trained on racist, pornographic and copyright-protected web content, raising safety, privacy and other concerns.
Get to grips with incidents and controversies driven by and associated with AI and related technologies, and the implications of the technology and governance systems behind them for individuals, society, and the environment.
Equipping researchers, civil society organisations and the general public to better understand and take action on AI and related technology harms and violations.
AIAAIC publishes AI and algorithmic harm and risk taxonomy review working paper
AIAAIC publishes AI, algorithmic and automation harms taxonomy v1.8
AIAAIC launches Slack channel for community members
AIAAIC updates AIAAIC Repository user guide
AIAAIC publishes Values and Code of Conduct
Brazil's Nucleo charts AI incidents using AIAAIC data
AIAAIC cited in ACLU/EPIC/EFF response to trade secrecy protections under California's proposed Risk Assessments and Automated Decisionmaking Technology Regulations
AIAAIC cited as an 'Authority' (pdf) in US Supreme Court mistaken identity case
AIAAIC cited in testimony to US Commission on Civil Rights briefing on government use of facial recognition
AIAAIC cited in Apple (pdf), Disney (pdf) and Paramount (pdf) shareholder AI transparency report proposals
Rao PSB., Šćepanović S., Jayagopi D.B., Cherubini M., Quercia D. The AI Model Risk Catalog: What Developers and Researchers Miss About Real-World AI Harms
European Union Intellectual Property Office. THE DEVELOPMENT OF GENERATIVE ARTIFICIAL INTELLIGENCE FROM A COPYRIGHT PERSPECTIVE
International Monetary Fund (IMF). Advances in Artificial Intelligence Implications for Capital Market Activities
Hadan H. et al. Who is Responsible When AI Fails? Mapping Causes, Entities, and Consequences of AI Privacy and Ethical Incidents
Bengio Y. et al. International AI Safety Report (pdf)
AIAAIC content is available to use, copy, adapt, and redistribute under a CC BY-SA 4.0 licence. More
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