PulseAugur
EN
LIVE 08:06:43

AI's threat to democracy analyzed via principal-agent theory

A new paper proposes using principal-agent theory to systematically analyze the risks artificial intelligence poses to democratic processes. The research suggests that AI systems often act as delegated functions within democratic systems, creating accountability gaps due to a lack of oversight on their operations and outputs. By integrating the NIST AI Risk Management Framework's characteristics of trustworthy AI, the paper offers a framework for empirical assessment of AI's impact on democracy, emphasizing institutional assessability as key to democratic control. AI

IMPACT Proposes a new framework for assessing AI's impact on democratic control and accountability.

RANK_REASON The cluster contains a research paper published on arXiv detailing a new analytical framework for AI risks to democracy. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.AI →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

COVERAGE [1]

  1. arXiv cs.AI TIER_1 English(EN) · Giulia Sandri, Claudio Novelli ·

    How to Detect and Measure the AI Dangers to Democracy

    arXiv:2606.16054v1 Announce Type: cross Abstract: Research on artificial intelligence and democracy has grown quickly over the last decade. A shared conclusion in this literature is that AI does not create new democratic problems so much as it makes old ones worse. We now see thi…