KI-Blog

Explore the insights from MozFest House Zambia, where technologists, policymakers, and activists discuss AI's transformative potential and challenges in Africa.

Mozilla recently submitted detailed comments to South Africa’s Department of Communications and Digital Technologies (DCDT) regarding the proposed National AI Policy Framework.

AI apps don’t always make their privacy levels clear to the end user. Mozilla’s *Privacy Not Included experts are researching how apps like ChatGPT affect your privacy. Here’s what they’ve found.

Join us at MozFest House Zambia for collective action towards trustworthy AI, centering African voices, and shaping a healthier internet.

The 2024 Olympics in Paris was filled with AI and tech and you may not have realized it. Here are 5 of the biggest AI moments in this year’s Olympic games.

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.

In the struggle over who can train AI models and how, there’s a casualty many people don’t realize: The open web. Mozilla speaks with the team behind the Data Provenance Initiative, a Data Futures Lab Awardee.

Apple AI is coming to iPhone, iPad and Mac. Here’s what to expect from the company known for the company on its new public beta release and full version later this year.

AI overviews in Google search and CoPilot answers in Microsoft’s Bing search offers AI-powered answers to the questions we ask. Unfortunately we’ve seen how hallucinations can ruin these products’ efficacy. What’s the fix? We spoke with the experts.

Police departments are increasingly using facial recognition software and other AI-assisted apps to search for criminals.

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

Lessons from the Data Nutrition Project’s 2023 convening