Calls for heightened consideration of fairness and accountability in algorithmically-informed public decisions—like taxation, justice, and child protection—are now commonplace. How […]
Analysis of personal data can be used to improve services, advance research, and combat discrimination. However, such analysis can also […]
Cheaper croissants in the morning is one thing; being charged according to your credit rating is another. As Black Friday […]
As machine learning becomes more powerful, the field’s researchers increasingly find themselves unable to account for what their algorithms know […]
Automated disadvantage, personalized persuasion, and the societal ramifications of the commercial use of personal information – Working paper. Source: How […]
The complexity of the EU General Data Protection Regulation is often alleviated by the guidance of regulatory authorities who contribute […]
The engineers and product managers who design these systems are the first line of defense against unfair, discriminatory, and harmful […]
Algorithms were supposed to free us from our unconscious mistakes. But now there’s a new set of problems to solve. […]
Algorithms can dictate whether you get a mortgage or how much you pay for insurance. But sometimes they’re wrong – […]
One of the standard critiques of using algorithms for decision-making about people, and especially for consequential decisions about access to […]