How Ai Systems Reflect, Perpetuate, and Exacerbate Organisational Biases
The research shows that AI biases often stem from organizational pressures like cost, risk, competition, and compliance, influencing...
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23 août
Regulating Algorithmic Harms
This paper examines the rise of algorithmic harms from AI, such as privacy erosion and inequality, exacerbated by accountability gaps and...
1 juil.
Searching for harmonised rules: Understanding the paradigms, provisions and pressing issues in the final EU AI Act
“... we analyse the regulatory necessity in introducing a coercive regulatory framework, and second, present the regulatory concept of...
30 mai
Artificial Intelligence (AI) Governance: An Overview
“This paper looks at global and regional efforts to come up with strategies and regulatory frameworks for AI governance. Chief amongst...
15 avr.
Comments on the Final Trilogue Version of the AI Act
“This paper provides a comprehensive analysis of the recent EU AI Act, the regulatory framework surrounding Artificial Intelligence (AI),...
12 févr.
The Developing Law of AI: A Turn to Risk Regulation
This paper outlines the need for AI risk regulation due to documented harms caused by AI systems. It cites examples of proposed and...
29 janv.
Tort Law as a Tool for Mitigating Catastrophic Risk from Artificial Intelligence
This paper addresses the inadequacy of the current U.S. tort liability system in handling the catastrophic risks posed by advanced AI...
8 déc. 2023
Understanding Explainability and Interpretability for Risk Science Applications
The paper explores how advanced technologies like AI pose both potential and complexity in risk and safety applications. It delves into...
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