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

Author

Listed:
  • 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. Hemphill, Thomas A., 2020. "“The innovation governance dilemma: Alternatives to the precautionary principle”," Technology in Society, Elsevier, vol. 63(C).
    3. 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.
    4. 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).
    5. Tania Leiman, 2021. "Law and tech collide: foreseeability, reasonableness and advanced driver assistance systems [Advanced Driver Assistance Systems (ADAS): A consideration of driver perceptions on training, usage & implementation]," Policy and Society, Darryl S. Jarvis and M. Ramesh, vol. 40(2), pages 250-271.
    6. 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.
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    9. Araz Taeihagh & M Ramesh & Michael Howlett, 2021. "Assessing the regulatory challenges of emerging disruptive technologies," Regulation & Governance, John Wiley & Sons, vol. 15(4), pages 1009-1019, October.
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    12. Mikolaj Firlej & Araz Taeihagh, 2021. "Regulating human control over autonomous systems," Regulation & Governance, John Wiley & Sons, vol. 15(4), pages 1071-1091, October.
    13. Fabiana Di Porto & Marialuisa Zuppetta, 2021. "Co-regulating algorithmic disclosure for digital platforms [Theorizing regulatory intermediaries]," Policy and Society, Darryl S. Jarvis and M. Ramesh, vol. 40(2), pages 272-293.
    14. 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.
    15. 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.
    16. 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.
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