Social media algorithms warp how people learn from each other, research shows
Social media companies’ drive to keep you on their platforms clashes with how people evolved to learn from each other. One result is more conflict and misinformation.
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Social media companies’ drive to keep you on their platforms clashes with how people evolved to learn from each other. One result is more conflict and misinformation.
Biased algorithms in health care can lead to inaccurate diagnoses and delayed treatment. Deciding which variables to include to achieve fair health outcomes depends on how you approach fairness.
Oren Bar-Gill (Harvard Law School), Cass R. Sunstein (Harvard Law School; Harvard University - Harvard Kennedy School (HKS)), & Inbal Talgam-Cohen (Technion-Israel Institute of Technology) have posted Algorithmic Harm in Consumer Markets on SSRN. Here is the abstract: Machine learning...