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Governance of artificial intelligence
[Application of artificial intelligence for development of intelligent transport system in smart cities]

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  • Araz Taeihagh

Abstract

The rapid developments in Artificial Intelligence (AI) and the intensification in the adoption of AI in domains such as autonomous vehicles, lethal weapon systems, robotics and alike pose serious challenges to governments as they must manage the scale and speed of socio-technical transitions occurring. While there is considerable literature emerging on various aspects of AI, governance of AI is a significantly underdeveloped area. The new applications of AI offer opportunities for increasing economic efficiency and quality of life, but they also generate unexpected and unintended consequences and pose new forms of risks that need to be addressed. To enhance the benefits from AI while minimising the adverse risks, governments worldwide need to understand better the scope and depth of the risks posed and develop regulatory and governance processes and structures to address these challenges. This introductory article unpacks AI and describes why the Governance of AI should be gaining far more attention given the myriad of challenges it presents. It then summarises the special issue articles and highlights their key contributions. This special issue introduces the multifaceted challenges of governance of AI, including emerging governance approaches to AI, policy capacity building, exploring legal and regulatory challenges of AI and Robotics, and outstanding issues and gaps that need attention. The special issue showcases the state-of-the-art in the governance of AI, aiming to enable researchers and practitioners to appreciate the challenges and complexities of AI governance and highlight future avenues for exploration.

Suggested Citation

  • Araz Taeihagh, 2021. "Governance of artificial intelligence [Application of artificial intelligence for development of intelligent transport system in smart cities]," Policy and Society, Darryl S. Jarvis and M. Ramesh, vol. 40(2), pages 137-157.
    • Handle: RePEc:oup:polsoc:v:40:y:2021:i:2:p:137-157.
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    File URL: http://hdl.handle.net/10.1080/14494035.2021.1928377
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    References listed on IDEAS

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    1. Igor Linkov & Benjamin D. Trump & Kelsey Poinsatte-Jones & Marie-Valentine Florin, 2018. "Governance Strategies for a Sustainable Digital World," Sustainability, MDPI, vol. 10(2), pages 1-8, February.
    2. Hazel Si Min Lim & Araz Taeihagh, 2019. "Algorithmic Decision-Making in AVs: Understanding Ethical and Technical Concerns for Smart Cities," Sustainability, MDPI, vol. 11(20), pages 1-28, October.
    3. Frey, Carl Benedikt & Osborne, Michael A., 2017. "The future of employment: How susceptible are jobs to computerisation?," Technological Forecasting and Social Change, Elsevier, vol. 114(C), pages 254-280.
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    5. Mikolaj Firlej & Araz Taeihagh, 2021. "Regulating human control over autonomous systems," Regulation & Governance, John Wiley & Sons, vol. 15(4), pages 1071-1091, October.
    6. Araz Taeihagh & Hazel Si Min Lim, 2019. "Governing autonomous vehicles: emerging responses for safety, liability, privacy, cybersecurity, and industry risks," Transport Reviews, Taylor & Francis Journals, vol. 39(1), pages 103-128, January.
    7. Peter Cihon & Matthijs M. Maas & Luke Kemp, 2020. "Fragmentation and the Future: Investigating Architectures for International AI Governance," Global Policy, London School of Economics and Political Science, vol. 11(5), pages 545-556, November.
    8. Hemphill, Thomas A., 2020. "“The innovation governance dilemma: Alternatives to the precautionary principle”," Technology in Society, Elsevier, vol. 63(C).
    9. Tan, Si Ying & Taeihagh, Araz & Tripathi, Abhas, 2021. "Tensions and antagonistic interactions of risks and ethics of using robotics and autonomous systems in long-term care," Technological Forecasting and Social Change, Elsevier, vol. 167(C).
    10. Igor Linkov & Benjamin D. Trump & Elke Anklam & David Berube & Patrick Boisseasu & Christopher Cummings & Scott Ferson & Marie-Valentine Florin & Bernard Goldstein & Danail Hristozov & Keld Alstrup Je, 2018. "Comparative, collaborative, and integrative risk governance for emerging technologies," Environment Systems and Decisions, Springer, vol. 38(2), pages 170-176, June.
    11. Bernd W. Wirtz & Jan C. Weyerer & Benjamin J. Sturm, 2020. "The Dark Sides of Artificial Intelligence: An Integrated AI Governance Framework for Public Administration," International Journal of Public Administration, Taylor & Francis Journals, vol. 43(9), pages 818-829, July.
    12. Yanwei Li & Araz Taeihagh & Martin De Jong, 2018. "The Governance of Risks in Ridesharing: A Revelatory Case from Singapore," Energies, MDPI, vol. 11(5), pages 1-21, May.
    13. Bernd W. Wirtz & Jan C. Weyerer & Carolin Geyer, 2019. "Artificial Intelligence and the Public Sector—Applications and Challenges," International Journal of Public Administration, Taylor & Francis Journals, vol. 42(7), pages 596-615, May.
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    Cited by:

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    2. Pande, Devyani & Taeihagh, Araz, 2024. "A governance perspective on user acceptance of autonomous systems in Singapore," Technology in Society, Elsevier, vol. 77(C).
    3. Lee, Hyun-Suk, 2024. "Automated tariff design for energy supply–demand matching based on Bayesian optimization: Technical framework and policy implications," Energy Policy, Elsevier, vol. 188(C).
    4. Sha, Kritika & Taeihagh, Araz & De Jong, Martin, 2024. "Governing disruptive technologies for inclusive development in cities: A systematic literature review," Technological Forecasting and Social Change, Elsevier, vol. 203(C).
    5. Frederiksen, Marianne Harbo & Wolf, Patricia & Klotz, Ute, 2024. "Citizen visions of drone uses and impacts in 2057: Far-future insights for policy decision-makers," Technological Forecasting and Social Change, Elsevier, vol. 204(C).
    6. Nicole Lemke & Philipp Trein & Frédéric Varone, 2023. "Agenda-setting in nascent policy subsystems: issue and instrument priorities across venues," Policy Sciences, Springer;Society of Policy Sciences, vol. 56(4), pages 633-655, December.
    7. Pan, Xin & Chen, Xuanjin & Qiu, Shumin, 2024. "Pushing boundaries or overstepping? Exploring the paradoxical impact of radical innovation on government subsidies in Chinese SMEs," Technovation, Elsevier, vol. 132(C).
    8. Vasiliki Koniakou, 2023. "From the “rush to ethics” to the “race for governance” in Artificial Intelligence," Information Systems Frontiers, Springer, vol. 25(1), pages 71-102, February.

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