ECPR

Install the app

Install this application on your home screen for quick and easy access when you’re on the go.

Just tap Share then “Add to Home Screen”

ECPR

Install the app

Install this application on your home screen for quick and easy access when you’re on the go.

Just tap Share then “Add to Home Screen”

Challenging power in Artificial Intelligence politics and policies

European Union
Governance
Government
Public Policy
Power
Technology
Big Data
P068
Inga Ulnicane
University of Birmingham
Tero Erkkilä
University of Helsinki
Ronit Justo-Hanani
Tel Aviv University

Building: O'Brien Centre for Sciences, Floor: 2, Room: H2.32

Wednesday 16:15 - 18:00 BST (14/08/2024)

Abstract

Artificial Intelligence (AI), which is seen as one of the most powerful technologies of our times, is characterised by huge power imbalances. Power in the field of AI is highly concentrated in a small number of Big Tech companies, while influence of civil society is limited and the role of government varies considerably around the world. Against this background, this panel invites theoretical and empirical contributions examining the distribution of power and the roles of involved actors – governments, big tech, experts, and civil society. Exploration of different forms (e.g., economic, political, cultural, ideational) and configurations of power (across regions, sectors, social groups, etc.) in AI is welcome. Potential questions to consider include: How can various theoretical understandings of power help to make sense of politics and policy of AI? What is the role of governments in re-balancing the power relationships in AI? What forms of challenging the established power dynamics are emerging? And what do recent developments - like the adoption of specific AI regulation and the development of governance for generative AI – tell about the power and dominance in AI politics and policy?

Title Details
The second generation of national AI strategies: evolving vision or reality check? View Paper Details
Human-centric AI: Hybridity and non-human agency in algorithmic governance View Paper Details
Risk-based approach to AI regulation: the role for co-regulation View Paper Details
Policy design, power, and AI: the case of on-demand food delivery in Singapore View Paper Details
The roles of government and power asymmetries in the governance of generative AI View Paper Details