When playing a video game, what motivates you to carry on?
This question is perhaps too broad to yield a single answer, but if you had to sum up why you accept that next quest, jump into a new level, or cave and playjust one more turn, the simplest explanation might be “curiosity” — just to see what happens next. And as it turns out, curiosity is a very effective motivator when teaching AI to play video games, too.IN A GAME WITHOUT REWARDS, TEACHING AI IS DIFFICULT
Research published this week by artificial intelligence lab OpenAI explains how an AI agent with a sense of curiosity outperformed its predecessors playing the classic 1984 Atari game Montezuma’s Revenge. Read More
Daily Archives: August 18, 2019
Please Stop Explaining Black Box Models for High-Stakes Decisions
Black box machine learning models are currently being used for high stakes decision-making throughout society, causing problems throughout healthcare, criminal justice, and in other domains. People have hoped that creating methods for explaining these black box models will alleviate some of these problems, but trying to explain black box models, rather than creating models that are interpretable in the first place, is likely to perpetuate bad practices and can potentially cause catastrophic harm to society. There is a way forward – it is to design models that are inherently interpretable. Read More
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