Mazzucato, Mariana;
Schaake, Marietje;
Krier, Seb;
Entsminger, Josh;
(2022)
Governing artificial intelligence in the public interest.
(Working Paper Series
2022/12).
UCL Institute for Innovation and Public Purpose: London, UK.
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Abstract
Artificial intelligence (AI) is being positioned as the defining general purpose technology of the early 21st century. Nations are racing to secure leadership in AI innovation capabilities, focusing on horizontal innovation policy to drive domestic technological competitiveness. However, we argue global and national administrations need to be more focused on the direction of AI innovation. We propose that a market-shaping approach can help align public and private interactions to drive AI towards advancing public interests. We further propose that this requires a bolder global technology policy agenda to align and shape State and non- State actors’ relationships within AI development and diffusion towards public interest activities. We conclude with a series of limited recommendations to help policymakers frame a market-shaping approach to AI governance.
| Type: | Working / discussion paper |
|---|---|
| Title: | Governing artificial intelligence in the public interest |
| Open access status: | An open access version is available from UCL Discovery |
| Publisher version: | https://www.ucl.ac.uk/bartlett/public-purpose/publ... |
| Language: | English |
| Additional information: | This version is the version of record. For information on re-use, please refer to the publisher’s terms and conditions. |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of the Built Environment UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of the Built Environment > Inst for Innovation and Public Purpose |
| URI: | https://discovery-pp.ucl.ac.uk/id/eprint/10196080 |
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