128 research outputs found

    Governance of artificial intelligence

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    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

    Crowdsourcing: a new tool for policy-making?

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    10.1007/s11077-017-9303-3POLICY SCIENCES504629-64

    Network-centric policy design

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    10.1007/s11077-016-9270-0POLICY SCIENCES502317-33

    Addressing Policy Challenges of Disruptive Technologies

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    10.1080/17487870.2023.2238867Journal of Economic Policy Reform263239-24

    Unmasking deepfakes: A systematic review of deepfake detection and generation techniques using artificial intelligence

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    10.1016/j.eswa.2024.124260Expert Systems with Applications252124260-12426

    Whither policy innovation? Mapping conceptual engagement with public policy in energy transitions research

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    A transition to sustainable energy will require not only technological diffusion and behavioral change, but also policy innovation. While research on energy transitions has generated an extensive literature, the extent to which it has used the policy innovation perspective – entailing policy entrepreneurship or invention, policy diffusion, and policy success – remains unclear. This study analyzes over 8000 publications on energy transitions through a bibliometric review and computational text analysis to create an overview of the scholarship, map conceptual engagement with public policy, and identify the use of the policy innovation lens in the literature. We find that: (i) though the importance of public policy is frequently highlighted in the research, the public policy itself is analyzed only occasionally; (ii) studies focusing on public policy have primarily engaged with the concepts of policy mixes, policy change, and policy process; and (iii) the notions of policy entrepreneurship or invention, policy diffusion, and policy success are hardly employed to understand the sources, speed, spread, or successes of energy transitions. We conclude that the value of the policy innovation lens for energy transitions research remains untapped and propose avenues for scholars to harness this potential.Organisation & Governanc

    How does fake news spread? Understanding pathways of disinformation spread through APIs

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    10.1002/poi3.268Policy and Internet134560-58

    Navigating the governance challenges of disruptive technologies: insights from regulation of autonomous systems in Singapore

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    10.1080/17487870.2023.2197599Journal of Economic Policy Refor
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