Insights Blog

The ultimate goal of Economic Justice is to free every one of us to focus on things we love and engage creatively without economics as our driving force. At its core, it’s about putting people over profit. The harms experienced at this intersection include bias, discrimination, widening geographic inequality, exploitation of workers, opaque systems, monopoly and centralization, violation of consumer rights, extractivism, and manipulation.

The importance of collective action and how we can use AI for good.

What does true justice looks like? How we can walk the talk around preventing algorithmic harm? How AI might be used to bolster communities of color?

Intersectionality, ways that AI can support the disabled, and how we can win the race to make AI more inclusive.

Both as a concept and a built reality, artificial intelligence (AI) is poised to further separate us. But it won’t if we reform the ways it’s created and deployed around the world now.

AI both reflects and amplifies the systems of power and privilege that birthed it, creating a fast-widening gap between those who design it and those who are subject to it. One of the places that gap looms largest globally is in environmental impact.

How AI can help grow the next generation of responsible technologists.

New tool connects organizations that are confronting AI bias, data rights, tech worker exploitation, and other social justice issues.

Z badań Mozilli wynika, że narzędzia do wykrywania nie zawsze są tak niezawodne, jak się wydaje. Co więcej, naukowcy odkryli, że duże modele językowe, takie jak ChatGPT, mogą być z powodzeniem wykorzystywane do tworzenia bardziej „ludzko brzmiącego” tekstu

Popularne metody stosowane do ujawniania treści syntetycznych w analizie Mozilli uzyskują ocenę „Niska” lub „Średnia”. Niedociągnięcia utrzymują się podczas rekordowej liczby wyborów w 2024 r.

Mozilla investigates Common Crawl’s influence as a backbone for Large Language Models: its shortcomings, benefits, and implications for trustworthy AI

Prosty eksperyment przeprowadzony przez Mozilla Foundation wykazał, że każdy może generować ukierunkowane materiały kampanijne, pomimo polityki OpenAI zakazującej takich zachowań.