Over the last several months, our teams have accelerated improvements for how we assess algorithms for potential bias and improve our understanding of whether ML is always the best solution to the problem at hand. Source: Sharing learnings about our image cropping algorithm
Category: Algorithms
Introducing Twitter’s first algorithmic bias bounty challenge
Finding bias in machine learning (ML) models is difficult, and sometimes, companies find out about unintended ethical harms once they’ve already reached the public. Source: Introducing Twitter’s first algorithmic bias bounty challenge
Dissenting from algorithms
So, how can we make algorithmic systems more democratic, so that collective decision-making can be expansive rather than restrictive? This essay explores three intersections of AI and dissent: dissenting from algorithmic decisions, protecting political dissent, and fostering the sensibility to dissent from a given system. Source: A New AI Lexicon: Dissent. Can an algorithmic system […]
