AI Risk & Accountability

Exploring how to ensure AI systems are accountable to the public.

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What explainable AI is, why it matters and how we can achieve it
Academia

What explainable AI is, why it matters and how we can achieve it

by Martin Marzidovšek

Explainable AI clarifies how AI models operate, allowing us to trust, verify, and responsibly use these advanced technologies.

May 23, 2025 — clock7 min read

Building trust in AI: A practical approach to transparency
Business

Building trust in AI: A practical approach to transparency

by Kamya Jagadish

Transparency in AI development is an ongoing process and must evolve with the technology.

April 1, 2025 — clock3 min read

Risk thresholds for frontier AI: Insights from the AI Action Summit
Intergovernmental

Risk thresholds for frontier AI: Insights from the AI Action Summit

by Eunseo Dana Choi, Dylan Rogers

There is increasing interest in thresholds as a tool for governing advanced AI systems, or frontier AI.

March 5, 2025 — clock4 min read

Artificial intelligence and intellectual property: Navigating the challenges of data scraping
Intergovernmental

Artificial intelligence and intellectual property: Navigating the challenges of data scraping

by Lee Tiedrich, Karine Perset, Sara Fialho Esposito

The Global Partnership on AI (GPAI) has released a new report examining the intellectual property (IP) implications of how organisations collect and use data to train AI systems, with a particular foc...

February 14, 2025 — clock5 min read

How might standard contract terms help unlock responsible AI data sharing?
Academia

How might standard contract terms help unlock responsible AI data sharing?

by Lee Tiedrich, Elena Simperl, Gefion Thuermer, Thomas Carey-Wilson

Standardised data licences can help overcome present-day AI data sharing barriers.

January 27, 2025 — clock7 min read

More partnerships, more insights, better tools: How we shaped AI policy in 2024
Intergovernmental

More partnerships, more insights, better tools: How we shaped AI policy in 2024

by Karine Perset, Luis Aranda

2024 saw remarkable progress in AI policy and governance, including our integrated partnership with GPAI and OECD countries.

January 20, 2025 — clock4 min read

A collective effort for accountability in AI governance: The Sixth Edition of the Athens Roundtable on AI and the Rule of Law
Non Governmental Organisation

A collective effort for accountability in AI governance: The Sixth Edition of the Athens Roundtable on AI and the Rule of Law

by Niki Iliadis , Mai Lynn Miller Nguyen

We invite our global community to join an interactive livestream of the full day of roundtable discussions.

November 20, 2024 — clock4 min read

Safer together: How governments can enhance the AI Safety Institute Network’s role in global AI governance
Non Governmental Organisation

Safer together: How governments can enhance the AI Safety Institute Network’s role in global AI governance

by Frank Ryan, Niki Iliadis , George Gor

The Future Society puts forward three ways to structure the AISI Network to enhance collaboration.

November 18, 2024 — clock8 min read

How the global community can come together to understand AI’s risks
Non Governmental Organisation

How the global community can come together to understand AI’s risks

by Hadrien Pouget

In 1980 and again in 1985, an international group of scientists came together in Villach, Austria, to discuss a concerning trend. The climate was heating, and human activity seemed part of the cause. ...

November 5, 2024 — clock6 min read

AI Standards Hub makes its AI standards available on the OECD Catalogue of Tools and Metrics for Trustworthy AI  
Intergovernmental

AI Standards Hub makes its AI standards available on the OECD Catalogue of Tools and Metrics for Trustworthy AI  

by Paul Khullar

The standards in the Catalogue will be continuously updated as new ones are published.

September 9, 2024 — clock3 min read