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The founders of Predictim want to be clear with me: Their product—an algorithm that scans the online footprint of a prospective babysitter to determine their “risk” levels for parents—is not racist. It is not biased.
The opening summary is pretty great.
It isn’t easy to be a citizen in 2018. We are told to watch out for bots and biased ...
A key goal of the fair-ML community is to develop machine-learning based systems that, once introduced into a social context, can achieve social and legal outco
The biggest problem with robo-grading continues to be the algorithm's inability to distinguish between quality and drivel.
Visiting your doctor isn't the same as logging into Facebook, but for how long? The growth in health data is leading some experts to call for a new "social contract" — a fresh negotiation of trust between patients and the groups that want their most intimate information.
The datasets and models used in these systems are not objective representations of reality. They are the culmination of particular tools, people, and power structures that foreground one way of seeing or judging over another.
How an outlawed form of institutionalized discrimination is being quietly upgraded for the 21st century.
Despite the growing presence of algorithms in daily life, the U.S. public expresses broad concerns over the fairness and effectiveness of computer programs making important decisions.
Its carefully curated search engine serves up anti-Semitism in response to reasonable queries. The problem reflects a wider issue in the world of tech.
Artificial intelligence could erase many practical advantages of democracy, and erode the ideals of liberty and equality. It will further concentrate the power among a small elite if we don’t take steps to stop it.
What does listening to music, booking a flight, and getting stopped by the police all have in common? All these activities may involve artificial intelligence…Read more
In the wake of school shootings, some are using social media monitoring companies like Social Sentinel to find threats. But critics have concerns.
They’re everywhere, but nobody wants to know about it.
Home for the IMLS Grant RE-72-17-0103-17 - “RE:Search” - Unpacking the Algorithms That Shape Our UX. Deliverables include a teaching curriculum, syllabi for a week-long workshop and semester-length...
Everyone has heard of machine learning now, and every big company is working on projects around ‘AI’. We know this is a Next Big Thing. But we don’t yet have a settled sense of quite what machine learning means - what it will mean for tech companies or for companies in the broader economy, how to
If you use Bing’s image search, you’re going to see the worst filth you can imagine. Bing suggests racist terms and shows horrifying images. Bing will even suggest you search for exploited children if you have SafeSearch disabled.
Amazon.com Inc's machine-learning specialists uncovered a big problem: their new recruiting engine did not like women.