Governance of artificial intelligence

Управление искусственным интеллектом
Araz Taeihagh
2021-04-03

AI governanceAI regulationAI riskspolicy capacity buildingsocio-technical transitions
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.
1
AI applications can improve economic efficiency and quality of life while also producing unintended consequences and novel risks requiring regulatory responses.
2
Governance of AI remains significantly underdeveloped relative to the scale and speed of ongoing socio-technical transitions.
3
Governments need stronger understanding of AI-related risks and new governance structures and processes to maximize benefits while minimizing harms.
4
Key governance priorities include emerging AI governance approaches, policy capacity building, legal and regulatory challenges, and unresolved research gaps.
5
Rapid AI development and adoption in autonomous vehicles, lethal weapon systems, robotics, and related domains create serious governance challenges for governments.

Artificial intelligence and its applications in socio-technical domains

Governance, regulation, and risk management of artificial intelligence

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2021-04-03
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Araz Taeihagh
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