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Social media algorithms warp how people learn from each other, research shows - Vimarsana News

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.

Including race in clinical algorithms can both reduce and increase health inequities – it depends on what doctors use them for - Vimarsana News

Including race in clinical algorithms can both reduce and increase health inequities – it depends on what doctors use them for

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.

Legal Theory Blog: Bar-Gill, Sunstein, & Talgam-Cohen on Algorithmic Harm in Consumer Markets - Vimarsana News

Legal Theory Blog: Bar-Gill, Sunstein, & Talgam-Cohen on Algorithmic Harm in Consumer Markets

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...