bias
The models tended to answer questions inconsistently, which reflects biases embedded in the data used to train the models.
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 who’ve contributed…
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…
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…
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…
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…
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,…
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 advertising in…
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 models.…
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…
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?
After being pushed out of Google, Timnit Gebru forms her own AI research institute: DAIR
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…
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.
Tackling deep-seated bias in tech with Haben Girma, Mutale Nkonde and Safiya Noble
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 Haben Girma and…
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…
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…
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…
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 complaints are…
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…
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…
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 introduced by…
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…
At this moment in history it’s impossible not to see the problems that arise from human bias. Now magnify that by compute and you start to get a sense for just…
London-based startup Applied has bagged £1.5M (~$2M) in seed funding for a fresh, diversity-sensitive approach to recruitment that deconstructs and reworks the traditional CV-bound process, drawing on behavioural science to…
Featured Article
Unbiased algorithms can still be problematic
Creating unbiased, accurate algorithms isn’t impossible — it’s just time consuming. “It actually is mathematically possible,” facial recognition startup Kairos CEO Brian Brackeen told me on a panel at TechCrunch Disrupt SF. Algorithms are sets of rules that computers follow in order to solve problems and make decisions about a…
We frequently turn to tech executives to answer for issues because they have the agency to make changes. But they are not alone.