Results 241 to 250 of about 1,762,290 (292)

AI Governance through Markets

arXiv.org
This paper argues that market governance mechanisms should be considered a key approach in the governance of artificial intelligence (AI), alongside traditional regulatory frameworks.
Philip Moreira Tomei, Rupal Jain, Matija Franklin   +2 more
semanticscholar   +1 more source

Towards Adaptive AI Governance: Comparative Insights from the U.S., EU, and Asia

IEEE International Conference on Big Data Security on Cloud
Artificial intelligence (AI) trends vary significantly across global regions, shaping the trajectory of innovation, regulation, and societal impact. This variation influences how different regions approach AI development, balancing technological progress
Vikram Kulothungan, Deepti Gupta
semanticscholar   +1 more source

Open Problems in Technical AI Governance

arXiv.org
AI progress is creating a growing range of risks and opportunities, but it is often unclear how they should be navigated. In many cases, the barriers and uncertainties faced are at least partly technical.
Anka Reuel, Ben Bucknall, Stephen Casper, T. Fist, Lisa Soder, Onni Aarne, Lewis Hammond, Lujain Ibrahim, Alan Chan, Peter Wills, Markus Anderljung, Ben Garfinkel, Lennart Heim, Andrew Trask, Gabriel Mukobi, Rylan Schaeffer, Mauricio Baker, Sara Hooker, Irene Solaiman, A. Luccioni, Nitarshan Rajkumar, N. Moes, Jeffrey Ladish, Neel Guha, Jessica Newman, Y. Bengio, Tobin South, A. Pentland, Sanmi Koyejo, M. Kochenderfer, Robert Trager   +30 more
semanticscholar   +1 more source

Lessons from complexity theory for AI governance

arXiv.org
The study of complex adaptive systems, pioneered in physics, biology, and the social sciences, offers important lessons for AI governance. Contemporary AI systems and the environments in which they operate exhibit many of the properties characteristic of
Noam Kolt, Michal Shur-Ofry, Reuven Cohen   +2 more
semanticscholar   +1 more source

Democratizing AI Governance: Balancing Expertise and Public Participation

arXiv.org
The development and deployment of artificial intelligence (AI) systems, with their profound societal impacts, raise critical challenges for governance.
Lucile Ter-Minassian
semanticscholar   +1 more source

The Geopolitics of AI Governance - AI Governance as a Geopolitical Infrastructure

The Geopolitics of AI Governance: AI Governance as a Geopolitical Infrastructure Artificial intelligence is rapidly evolving from a technological innovation into a foundational infrastructure shaping economic systems, geopolitical competition, and global governance.
openaire   +1 more source

AI, Corporate Governance And Sustainability

2023
Since the beginning of this century, information technologies have been characterized by impressive advancements that have offered us powerful tools such as distributed ledger technologies, blockchain, machine learning algorithms and smart contracts. Corporate law has not been immune from this rapid evolution; in 2014, the news that an algorithm named “
openaire   +2 more sources

AI Governance and Accountability: An Analysis of Anthropic's Claude

arXiv.org
As AI systems become increasingly prevalent and impactful, the need for effective AI governance and accountability measures is paramount. This paper examines the AI governance landscape, focusing on Anthropic's Claude, a foundational AI model. We analyze
Aman Priyanshu, Yash Maurya, Zuofei Hong
semanticscholar   +1 more source

Governing AI and the democratisation of governance

Dialogues on Digital Society
AI governance that is situated in data justice principles requires appropriate institutional governance arrangements as well as strategies addressing the socio-political-economic context of governance. In light of threats to civic agency and democracy in datafied societies, this should entail the systematic involvement of citizens and affected ...
openaire   +1 more source

Governing AI

Governing AI is about getting AI right. Building upon AI scholarship in science and technology studies, technology law, business ethics, and computer science, it documents potential risks and actual harms associated with AI, lists proposed solutions to AI-related problems around the world, and assesses their impact.
openaire   +1 more source