AIAAIC is an independent, non-partisan, grassroots public interest initiative that examines and makes the case for real AI, algorithmic, and automation transparency and openness. More
Let us know what we're doing right, where we can improve, and what we should be focusing on going forward
Equipping researchers, civil society organisations and the general public to better understand and take action on AI and related technology harms and violations.
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, communities, society and the environment.
AIAAIC releases taxonomy of AI and algorithmic harms
AIAAIC is cited in testimony to US Commission on Civil Rights briefing on government use of facial recognition
AIAAIC is cited in Apple, Disney and Paramount shareholder AI transparency report proposals
AIAAIC founder Charlie Pownall is quoted on the likelihood of international regulation of AI by Kyodo News
The Ada Lovelace Institute names the AIAAIC Repository a 'best practice' AI ethical review research open database
Marchal M. et al. Generative AI Misuse: A Taxonomy of Tactics and Insights from Real-World Data
Moro Visconti R. Sustainable Artificial Intelligence Issues: From ESG Valuation to Ethical Concerns
DeVriso A. et al. Building, Shifting, & Employing Power: A Taxonomy of Responses From Below to Algorithmic Harm (pdf)
Ajaykumar S. et al. A Roadmap for AI Governance: Lessons from G20 National Strategies (pdf)
UK Competition & Markets Authority. AI Foundation Models - Technical update report
AIAAIC believes that AI, algorithms, and automation, and the organisations and individuals involved in their design, development, and deployment, must be transparent and honest about their aims and how they go about pursuing them. More
Transparency is cited as a core principle of ethical, responsible, and trustworthy AI. But it is often approached in a partial, piecemeal, and reactive manner.
Here's why real transparency and openness of AI, algorithmic and automation systems is needed, and what we believe it should look like.
AIAAIC content is available to use, copy, adapt, and redistribute under a CC BY-SA 4.0 licence. More
