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We're also delighted to share this brilliant piece by Itegbeyogene Ezekiel, Ph.D. - who has been vital to our work on AI ownership - published by Wonkhe today. Our collective future may depend on how the designers, controllers, “owners” and implementers of AI tools are managed within the public’s interest. What role, then, can universities play as the AI landscape continues to evolve? What strengths can research organisations bring that businesses cannot always match? UCL Public Policy UCL Science and Technology Studies (STS) UCL Department of Science, Technology, Engineering and Public Policy (STEaPP) Katherine W. Dr Olivia Stevenson Jack Stilgoe #artificialintelligence #publicpolicy
New on Wonkhe: The tech industry might be able to outspend and outhire academia. But Itegbeyogene Patrick Ezekiel explains that universities have research strengths in artificial intelligence that business can’t always match https://lnkd.in/dTazWGCu "In traditional academia-industry collaboration in research and development, the academy substantially carries out the fundamental and applied research, while industry largely engages in commercialisation. For artificial intelligence, we’re seeing a notable departure from this state of affairs. AI companies are successfully engaging in both research and commercialisation at a rate that universities cannot compete with."
