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Donal Casey

Publications and source records attributed to Donal Casey.

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The Digital Omnibus on AI, Legislative Legitimacy and the Dynamics of AI Regulation

Driving the Digital Omnibus on AI are growing concerns within the European Union about economic growth, competitiveness, innovation and regulatory simplification. What is particularly striking about the Digital Omnibus on AI is that it seeks to amend the AI Act that entered into force less than two years ago in August 2024. This raises the question of how we can understand both the need and urgency with which the European institutions have sought amend a centrepiece of EU legislation that is still in its infancy. In addressing this question, we examine the Digital Omnibus on AI through the lens of legislative legitimacy. In so doing, we ask how the specific dynamics of AI have shaped the legitimacy of AI regulation. Here, we are concerned not only with the issue of technological change, but with the broader dynamics of the evolving 'socio-technical landscape' of AI. In addressing this question, we argue that three specific dynamics have created a legitimacy dilemma for the EU institutions in the context of the AI Act: the race for AI regulation; the race for AI dominance and; the race for regulatory connection. As a response and proposed solution to this legitimacy dilemma, we further contend that, as a solution to the legitimacy dilemma caused by these three dynamics, the Digital Omnibus on AI in turn reshapes the legitimacy of the AI Act as it prioritises political and operational rationalities over legal and cultural rationalities.

cs.CY

On the importance of AI research beyond disciplines

As the impact of AI on various scientific fields is increasing, it is crucial to embrace interdisciplinary knowledge to understand the impact of technology on society. The goal is to foster a research environment beyond disciplines that values diversity and creates, critiques and develops new conceptual and theoretical frameworks. Even though research beyond disciplines is essential for understanding complex societal issues and creating positive impact it is notoriously difficult to evaluate and is often not recognized by current academic career progression. The motivation for this paper is to engage in broad discussion across disciplines and identify guiding principles fir AI research beyond disciplines in a structured and inclusive way, revealing new perspectives and contributing to societal and human wellbeing and sustainability.

cs.CY