The influence of industry in AI research is growing, raising concerns about the concentration of power in AI development. This article discusses the challenges posed by industry dominance in AI research, including the disparities in resources, the impact on AI outcomes, and the potential policy implications. It explores the implications of industry dominance on bias, innovation, and the neglect of public interest. The article also suggests policy solutions to address these challenges, such as providing access to computing resources for academics, supporting academic researchers, and increasing diversity in the AI workforce. The authors emphasize the need for policy interventions to ensure that academia can play a public-minded role in AI research.
Read the full story: Brookings Institution
How can academia maintain a public-minded role in AI research despite the growing influence of industry?
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