Library
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Training Data for the Price of a Sandwich: Common Crawl’s Impact on Generative AI
Feb. 6, 2024Mozilla Insights, Stefan BaackAI Bias / AI Fairness, Accountability and TransparencyMozilla 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.
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A Public Administration Route to Algorithmic Transparency I: The Anatomy of Administrative Law
Feb. 2, 2024Amber SinhaPublic 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.
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Navigating the Digital Services Act: exploring key elements and scenarios
Oct. 16, 2023Mozilla AdvocacyInternet HealthThe European Center for Not-for-Profit Law (ECNL) and Mozilla Foundation joint presentation on how online platforms’ risk assessment works in theory and practice.
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IRL: Online Life is Real Life, Season 7
Oct. 10, 2023Neha Ravella, Kasia Odrozek, Solana Larsen, Eeva Moore, J. Bob AlottaIn Season 7 of Mozilla’s multi-award winning podcast, IRL, Bridget Todd meets tech builders who put people over profit in artificial intelligence.
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The lost art of mathematical modelling
June 28, 2023Abeba BirhaneAI Fairness, Accountability and TransparencyA critique of mathematical biology in light of rapid developments in modern machine learning.
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Strengthening Data Ecosystems for Education in India
June 7, 2023Babitha George, Udeshi Basu, Rishabh Sachdeva, Niyoshi ShahHow might we strengthen education data ecosystems to meet the needs of our students and their communities better?
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Science in the age of large language models
April 26, 2023Abeba BirhaneAI Fairness, Accountability and TransparencyFour AI ethics and policy experts highlight the potential risks associated with LLMs along with the need for responsible usage and careful consideration.
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AI Transparency in Practice
March 20, 2023Mozilla Insights, Ramak Molavi Vasse'i, Jesse McCroskyAI Transparency in Practice Builders on what works — and what doesn't. Mozilla’s research on AI transparency (lead by Ramak Molavi Vasse'i), with practical advice from Thoughtworks.
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Creating community-driven datasets: Insights from Mozilla Common Voice activities in East Africa
March 7, 2023Jan KrewerAI Fairness, Accountability and Transparency / Internet Health / Movement Building / Voice TechnologyThe report summarizes lessons-learnt and strategies of three voice communities used to create publicly available datasets. It is based on interviews with people driving these efforts, including Mozilla Fellows, community coordinators, contributors as well as supporting donor organizations.
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Is that even legal? A guide for builders experimenting with data governance
Feb. 15, 2023Maximilian Gahntz, Mozilla InsightsData Governance / Data StewardshipThe data economy is not built on a level playing field — but it can be fixed!
