To give AI-focused women academics and others their well-deserved — and overdue — time in the spotlight, TechCrunch is launching a series of interviews focusing on remarkable women whoR
Harnessing AI to drive innovation and deliver enhanced customer value will be critical to staying competitive in the AI-driven marketplace.
The problem of alignment is an important one when you’re setting up AI models to make decisions in matters of finance and health. But how can you reduce biases if they’re baked into a mode
Continuing on its open source tear, Meta today released a new AI benchmark, FACET, designed to evaluate the “fairness” of AI models that classify and detect things in photos and videos, in
After months of delays, New York City today began enforcing a law that requires employers using algorithms to recruit, hire or promote employees to submit those algorithms for an independent audit
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