Human-AI Cooperation to Tackle Misinformation and Polarization


A dominant narrative of the past decade is that algorithms contribute to a misinformed and segregated society. Perhaps paradoxically, algorithms are often sought as solutions to such problems. We describe a significant emerging trend away from this techno-solutionist approach that seeks to create and understand a new paradigm: a productive interplay between algorithms and people. Two relevant test cases are being explored in our region: The first addresses a new framework to tackle misinformation by assisting fact-checkers with computational methods, and the second seeks new models to understand how search engines deliver personalized search results when little or no algorithmic personalization exists.

Communications of the ACM
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