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Let’s not make the same mistakes with AI that we made with social media

Abstract:

The authors highlight 5 key similarities between the development of social media and the emergence of artificial intelligence as the new “tech darling”: advertising, surveillance, vitality, lock-in, and monopolization. Previous patterns from social media, better allow society to understand and mitigate the negative risks associated with AI development in an unregulated arena. By viewing social media as a case study, regulators can establish productive AI-related policies and minimize individual harms. The authors propose a focus on limiting which business and products can utilize AI, require transparency regarding training datasets and models, as well as liability placed on organizations. Antitrust and advertising regulations provide further frameworks which can be used to enable the progression of an AI regulatory space.

Author:
Nathan E. Sanders & Bruce Schneier
Year:
2024
Domain:
Dimension:
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Data Type:
MIT Political Science
MIT Political Science
ECIR
GSS