Biblioteca
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Policy Readout - Columbia Convening on Openness and AI
27 de marzo de 2024Columbia University, MozillaTech policy & regulation / Openness and AIThis 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.
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Technical Readout - Columbia Convening on Openness and AI
27 de marzo de 2024Columbia University, MozillaOpenness and AIKey technical takeaways from a convening focused on exploring what "openness" means in the AI era.
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AI Report on Southern Africa
21 de marzo de 2024Media Institute of Southern Africa (MISA)AI fairness, accountability, and transparencyAs 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.
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Mozilla’s Elections Casebook
27 de febrero de 2024Odanga Madung, Becca Ricks, Open Source Research & InvestigationsElections / Platform accountabilityMozilla's Elections Casebook scrutinizes what steps platforms have taken to protect election integrity globally. Case studies explore the impact of platform policies and interventions.
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In Transparency We Trust?
26 de febrero de 2024Ramak Molavi Vasse'i, Gabriel UdohAI fairness, accountability, and transparencyEvaluating the Effectiveness of Watermarking and Labeling AI-Generated Content
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Acelerar los avances hacia una IA confiable
22 de febrero de 2024Mark Surman, Lindsey Dodson, Ayah Bdeir, Alexis-Brianna Felix, Nik MardaEquidad, responsabilidad y transparencia de la IA / Transparencia significativa de la IAActualización de nuestro documento de 2020 "Crear una IA digna de confianza" y próximos pasos para promover la apertura, la competencia y la responsabilidad en la IA.
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A Public Administration Route to Algorithmic Transparency III: Thresholds for Transparency in the Private Sector
16 de febrero de 2024Amber SinhaA 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
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A Public Administration Route to Algorithmic Transparency II: Thresholds for Transparency in the Public Sector
8 de febrero de 2024Amber SinhaThe 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.
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Training Data for the Price of a Sandwich: Common Crawl’s Impact on Generative AI
6 de febrero de 2024Mozilla Insights, Stefan BaackAI bias & discrimination / 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 de febrero de 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.
