Today, artificial intelligence (AI) systems make data-driven decisions in a multitude of applications and industries. Explanations of the reasoning behind these decisions are crucial to the success and acceptance of such systems, say HKUST researcher Carlos Fernández-Loría and colleagues. Rising to this challenge, the authors present and rigorously test a
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Data-driven technology has the potential to not only predict how people will behave but also to predict what actions might encourage desirable behaviors. For example, the music app Spotify uses this technology to encourage its users to upgrade their accounts and engage with the platform. Focusing on Spotify’s playlist generation systems, HKUST’s Carlos
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A core component of Spotify’s value proposal is personalization: They want to ensure that the content you receive is tailored to you based on the music you love. In this study, we partnered with Spotify to help them decide what would be the best algorithmic DJ to deploy for each user. Our solution consisted of using machine learning on data from a massive
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