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Joined 4 years ago
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Cake day: May 17th, 2022

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  • It doesn’t appear to be limited to racism.

    Humans inherit artificial intelligence biases

    Artificial intelligence recommendations are sometimes erroneous and biased. In our research, we hypothesized that people who perform a (simulated) medical diagnostic task assisted by a biased AI system will reproduce the model’s bias in their own decisions, even when they move to a context without AI support. In three experiments, participants completed a medical-themed classification task with or without the help of a biased AI system. The biased recommendations by the AI influenced participants’ decisions. Moreover, when those participants, assisted by the AI, moved on to perform the task without assistance, they made the same errors as the AI had made during the previous phase. Thus, participants’ responses mimicked AI bias even when the AI was no longer making suggestions. These results provide evidence of human inheritance of AI bias.





























  • Slightly sensationalized title and article

    Yeah, maybe a bit. I tried to make it clear in the body that it’s not yet perfect, but it may also be hard for the researchers to communicate such a technology to a wider audience so that everyone understands.

    Edit for an addition: The Guardian wrote about it, citing two experts in the field who are not mentioned in the linked article:

    Prof Tim Behrens, a computational neuroscientist at the University of Oxford who was not involved in the work, described it as “technically extremely impressive” and said it opened up a host of experimental possibilities, including reading thoughts from someone dreaming or investigating how new ideas spring up from background brain activity. “These generative models are letting you see what’s in the brain at a new level,” he said. “It means you can really read out something deep from the fMRI.”

    Prof Shinji Nishimoto, of Osaka University, who has pioneered the reconstruction of visual images from brain activity, described the paper as a “significant advance”. “The paper showed that the brain represents continuous language information during perception and imagination in a compatible way,” he said. “This is a non-trivial finding and can be a basis for the development of brain-computer interfaces.

    That’s extremely impressive if I may say so.






  • Maybe it’s not death but transformation? We may end up with a different sort of social media that is more focused on users’ needs and wants, but one that we may also pay for. (If so, we as a society must then find a way to include all those into our communication system who can’t afford the price, as taking part in digital communication should be seen as a human right imho, maybe even as a common good like fresh air and water.)