bias

AI is very much a work in progress, and we should all be wary of its potential for confidently spouting misinformation. But it seems to be more likely to do so in some languages than others. Why is th

Early in the pandemic, a number of researchers, startups and institutions developed AI systems that they claimed could diagnose COVID-19 from the sound of a person’s cough. At the time, we ourse

Health tech right now benefits not only from the rise of open data, but also from the democratization of data analytics and privacy-preserving synthetic data.

The U.S. Department of Justice today announced that it entered into an agreement with Meta, Facebook’s parent company, to resolve a lawsuit that alleged Meta engaged in discriminatory advertisin

Timed to align with Build 2022, Microsoft today open sourced tools and datasets designed to audit AI-powered content moderation systems and automatically write tests highlighting potential bugs in AI

Research in the field of machine learning and AI, now a key technology in practically every industry and company, is far too voluminous for anyone to read it all. This column, Perceptron (previously D

Whenever you open a new role, start by asking the question: How do we ensure that our selection is based solely on criteria that’s relevant to the role?

Almost exactly one year ago, Timnit Gebru, one of the leaders of Google’s ethics in AI team and one of the foremost experts in that topic, was fired after sending an email of concern to her team

Entrepreneurs from underrepresented groups are more likely to face an uphill climb than their white, male counterparts, but their challenges stretch beyond systemic bias and lack of access to capital.

A handful of foundational AI models are emerging that rely upon a magnitude of training data that makes them inherently powerful, but it’s not without risk of harmful biases.

Advances in technology provide all kinds of benefits, but also introduce risks — especially to already marginalized populations. AI for the People’s Mutale Nkonde, disability rights lawyer Hab

Ultimately, there isn’t a “one-size-fits-all” approach to building intersectional AI. At The Trevor Project, our team has outlined a methodology based on what we do, what we know today and the s

It would be a foolish U.S. business that tried to sell chlorine-washed chicken in Europe — a region where very different food standards apply. But in the high-tech world of algorithmically assisted

To find out which measures can yield better results, we must first understand the real reasons. We can then look at potential solutions by studying what we do in the real world to tackle such biases.

An independent investigator has issued a preliminary report on its work determining the existence and/or extent of bias against conservatives on Facebook. It's refreshingly light reading — the compl

The President this morning lashed out at Google on Twitter, accusing the company of manipulating millions of votes in the 2016 election to sway it towards Hillary Clinton. The authority on which he ba

Understanding what makes something offensive or hurtful is difficult enough that many people can't figure it out, let alone AI systems. And people of color are frequently left out of AI training sets.

Tackling bias in AI requires individuals, organizations and government bodies to take a serious look at the roots of the problem.

Democratic lawmakers have proposed a bill to address the algorithmic biases lurking under the surface of tech’s biggest platforms. The bill, known as the Algorithmic Accountability Act, was intr

Google CEO Sundar Pichai has managed to avoid the public political grillings that have come for tech leaders at Facebook and Twitter this year. But not today. Today he will be in front of the House Ju