Here is some advice on how everybody can take power back from Big Tech companies like Facebook and Google.
What happens when decision-makers in tech companies simply don’t reflect the diversity of the general population?
Sen. Kamala Harris is joining Joe Biden on the Democratic Party’s presidential ticket; in the past she’s taken positions on issues like algorithmic bias.
Being smart and ruthless was the way of old big tech, but the growing field of AI requires people to be smart, wise, and empathetic.
In a panel at VentureBeat’s AI-focused Transform 2020 event, experts unpacked how to achieve diversity, equity, and inclusion within AI companies and tech.
Trustworthy AI depends on building trust in your people, processes, data, tools, and models, including mechanisms for building trust into your AI itself.
DeepMind researchers argue that anticolonial theory should be part of the AI development process to avoid perpetuating algorithmic oppression.
A look at AI projects and prototypes built with justice in mind to strengthen communities, improve democracies, and defend free societies and people.
The 80 Million Tiny Images data set was taken offline following an audit that found images labelled with racist, sexist, or otherwise offensive words.
Facebook chief AI scientist Yann LeCun got into a debate with Google AI ethics colead Timnit Gebru about bias, and there are lessons to draw from the event.