Bibliotheek

Policy Readout - Columbia Convening on Openness and AI

This policy brief distills the discussions at Columbia Convening in 2024 for policymakers - identifying benefits that openness can bring to the AI ecosystem, the risk/benefit tradeoffs in opening up different components of the AI stack, and recommendations for policymakers.

AI Report on Southern Africa

As governments, communities, and businesses across southern Africa continue to integrate artificial intelligence technologies into everyday life, they face three key challenges: AI readiness, AI deployment, and potential misuse of AI.

Mozilla’s Elections Casebook

Mozilla's Elections Casebook scrutinizes what steps platforms have taken to protect election integrity globally. Case studies explore the impact of platform policies and interventions.

In Transparency We Trust?

Evaluating the Effectiveness of Watermarking and Labeling AI-Generated Content

Accelerating Progress Toward Trustworthy AI

Status update on our 2020 paper “Creating Trustworthy AI” and next steps to promote openness, competition, and accountability in AI

A Public Administration Route to Algorithmic Transparency III: Thresholds for Transparency in the Private Sector

A regulatory focus on public law leaves out the bulk of algorithmic decision-making that we encounter in sectors such as finance, private healthcare, insurance, entertainment, and a host of other services. However, the features of administrative law which render it suitable for public sector use of

A Public Administration Route to Algorithmic Transparency II: Thresholds for Transparency in the Public Sector

The use of algorithmic systems for public use comes with this own set of transparency expectations. The history of administrative decisions offers a rich body which can clearly inform the threshold of transparency for these decisions and how to apply them.

Training Data for the Price of a Sandwich: Common Crawl’s Impact on Generative AI

Mozilla finds that Common Crawl's outsized role in the generative AI boom has improved transparency and competition, but is also contributing to biased and opaque generative AI models.

A Public Administration Route to Algorithmic Transparency I: The Anatomy of Administrative Law

Public administration, with its complex machinery and delegation of decision-making is uniquely suited as an analogy to algorithmic systems. The domain administrative law which governs it offers useful lessons for the transparency of AI systems.

Predicting the Impact of Crashes Across Release Channels