Library
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Where to Go Now? Finding Alternatives for Declining Packages in the npm Ecosystem
Aug. 16, 2023Emad Shihab, Rabe Abdalkareem, Diego Elias Costa, Suhaib Mujahid -
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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Understanding the Helpfulness of Stale Bot for Pull-based Development
May 29, 2023Hassan Khatoonabadi, Emad Shihab, Diego Elias Costa, Suhaib MujahidOpen source -
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 / Community 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 & stewardshipThe data economy is not built on a level playing field — but it can be fixed!
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Beyond Single-Mindedness: A Figure-Ground Reversal for the Cognitive Sciences
Jan. 10, 2023Abeba BirhaneAI fairness, accountability, and transparencyA letter to the editors of the Cognitive Science Journal from a transdisciplinary collective.
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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.