From MIT Technology Review: This is how AI bias really happens – and why it’s so hard to fix
Bias can creep in at many stages of the deep-learning process, and the standard practices in computer science aren’t designed to detect it. This article discusses how AI bias happens, why it’s hard to fix, and where we go from here.
From OpenAI: Faulty reward functions in the wild
Reinforcement learning algorithms can break in surprising, counterintuitive ways. This post explores one failure mode, where the reward function is misspecified and resulted in the reinforcement learning agent learning how it could beat humans by 20% when it cheated and didn’t even finish the race.
From the Alan Turing Institute: What is data science?
What is AI and why should we care from the perspective of The Alan Turing Institute and social scientists, mathematicians, statisticians, computer scientists, engineers, and industry and government thinkers.