Library
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ChatGPT, Galactica, and the Progress Trap
Dec. 9, 2022Deb Raji, Abeba BirhaneAI fairness, accountability, and transparencyFor WIRED, the authors hone in on the need for accountability in LLM deployment.
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Towards Responsible Recommending
Dec. 7, 2022Maximilian GahntzPlatform accountability / AI fairness, accountability, and transparencyRecommendations to platforms and policymakers on how to move towards a more responsible recommending ecosystem.
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Handling and Presenting Harmful Text in NLP Research
Dec. 1, 2022Abeba BirhaneAI fairness, accountability, and transparencyThe article provides advice for NLP practitioners, with concrete steps for mitigating harm in research and in publication, on how to handle, present, and discuss harmful texts.
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Digital Futures in Mind
Nov. 1, 2022Piers GoodingInternet healthThis research was conducted as part of Gooding's 2020 Mozilla fellowship.
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Digital Care and Philanthropy: Findings and Recommendations
Oct. 27, 2022AmarelaPrivacy, security & trackingThis report was developed by researchers Foz and Amarela with the support of FASE – Federação de Órgãos para Assistência Social e Educacional and the Mozilla Foundation's Tech + Society Fellowship.
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The unseen Black faces of AI algorithms
Oct. 19, 2022Abeba BirhaneAI bias & discriminationFor Nature Journal, Birhane looks at algorithmic racial bias.
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Power to the People? Opportunities and Challenges for Participatory AI
Oct. 17, 2022Abeba BirhaneAI fairness, accountability, and transparencyThrough case studies, this paper demonstrates methods for participatory AI.
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Movement Building Landscape Analysis: Acting on Shared Purpose
Oct. 4, 2022Mozilla Insights, Kenrya Rankin, Matthew Stempeck, Jacqui Howard, Kasia OdrozekAI fairness, accountability, and transparency / Internet health / Community buildingA landscape analysis of Mozilla Foundation’s potential movement partnerships at the intersection of AI and social justice.
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Does This Button Work? Investigating YouTube's ineffective user controls
Sept. 20, 2022Mozilla Advocacy, Jesse McCrosky, Becca RicksPlatform accountability / AI fairness, accountability, and transparency / Tech policy & regulationPowered by 22,722 volunteers, Mozilla scrutinized YouTube to determine how much control people actually have over the platform’s recommendation algorithm. This is what we learned.
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SZZ in the time of pull requests
Sept. 7, 2022Alberto Bacchelli, Enrico Fregnan, Calixte Denizet, Fernando Petrulio, Gul Calikli, Emma Humphries, Marco Castelluccio, David Ackermann, Sylvestre Ledru
