Biblioteka

ChatGPT, Galactica, and the Progress Trap

For WIRED, the authors hone in on the need for accountability in LLM deployment.

Towards Responsible Recommending

Recommendations to platforms and policymakers on how to move towards a more responsible recommending ecosystem.

Handling and Presenting Harmful Text in NLP Research

The 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.

Digital Futures in Mind

This research was conducted as part of Gooding's 2020 Mozilla fellowship.

Digital Care and Philanthropy: Findings and Recommendations

This 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.

The unseen Black faces of AI algorithms

For Nature Journal, Birhane looks at algorithmic racial bias.

Power to the People? Opportunities and Challenges for Participatory AI

Through case studies, this paper demonstrates methods for participatory AI.

Movement Building Landscape Analysis: Acting on Shared Purpose

A landscape analysis of Mozilla Foundation’s potential movement partnerships at the intersection of AI and social justice.

Does This Button Work? Investigating YouTube's ineffective user controls

Powered 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.

SZZ in the time of pull requests