Bibliothèque
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Training Data for the Price of a Sandwich: Common Crawl’s Impact on Generative AI
6 février 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
2 février 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
16 octobre 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
10 octobre 2023Solana Larsen, Neha Ravella, Kasia Odrozek, J. Bob Alotta, Eeva MooreIn 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
28 juin 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
7 juin 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
26 avril 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
20 mars 2023Jesse McCrosky, Ramak Molavi Vasse'i, Mozilla InsightsAI 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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Création de jeux de données communautaires : observations des activités de Mozilla Common Voice en Afrique de l’Est
7 mars 2023Jan KrewerÉquité, responsabilité et transparence de l’IA / Santé d’Internet / Création de mouvement / Technologies vocalesThe 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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Est-ce vraiment légal ? Un guide pour les créateurs qui expérimentent la gouvernance des données
15 février 2023Maximilian Gahntz, Mozilla InsightsGouvernance des données / Gestion des donnéesL’économie des données ne repose pas sur des règles du jeu équitables, mais cela peut changer !
