What's Happening?
A new doctoral position at Lund University, within the Department of Technology and Society and the AI and Society research environment, will focus on regulatory learning for the governance of transformative technologies. This project, part of the REGULAIRE
MSCA doctoral network, will specifically investigate how regulation can adapt to rapidly changing technologies, risks, and societal expectations. The research will be anchored in the AI Act and will analyze the distribution of authority among legislators, the European Commission, standardizers, private actors, and supervisory authorities. The doctoral student will map supervisory competence, organization, and tools in selected jurisdictions, utilizing document analysis, interviews, and process tracing to build an assessment-oriented understanding of supervisory capability. The goal is to translate this evidence into guidance for governing flexible regulation without compromising legal certainty.
Why It's Important?
This research is crucial for the effective implementation and evolution of AI regulation, particularly within the context of the AI Act. As artificial intelligence continues to advance rapidly, regulatory frameworks must be flexible enough to address emerging challenges while maintaining predictability and legal certainty for all stakeholders. The project's focus on supervisory competence and the distribution of authority will shed light on the practical challenges and opportunities in governing AI. The findings could influence how regulatory bodies in the U.S. and globally approach AI governance, potentially informing best practices for balancing innovation with ethical considerations and public safety. Understanding how different actors interact within the regulatory landscape is vital for fostering responsible AI development and deployment, impacting industries from technology to healthcare and finance.
What's Next?
The doctoral student will work within a structured research environment, contributing to a thesis and related outputs under the REGULAIRE plan. This includes participation in a broader European doctoral network with training activities, cohort exchange, research dissemination, practitioner engagement, and an intersectoral secondment in another country. The project's findings are expected to provide guidance on governing flexible regulation, which could inform policy discussions and regulatory adjustments related to AI. The insights gained from mapping supervisory competence and organizational structures in selected jurisdictions could serve as a model or cautionary tale for other nations, including the U.S., as they develop and refine their own AI governance strategies. The research will contribute to a deeper understanding of how to ensure legal certainty in a rapidly evolving technological landscape.
Beyond the Headlines
The project delves into the complex interplay between technological innovation, legal frameworks, and societal expectations. The challenge of governing flexible regulation without undermining legal certainty is a fundamental issue in the digital age, extending beyond AI to other transformative technologies. This research highlights the ethical and practical dilemmas faced by policymakers and regulators as they strive to keep pace with technological advancements. The emphasis on 'regulatory learning' suggests a dynamic and iterative approach to governance, acknowledging that initial regulations may need continuous adaptation. The project's interdisciplinary nature, combining technology, law, and sociology, underscores the multifaceted nature of AI governance, requiring expertise from various fields to address its profound societal implications. The outcomes could influence global standards for AI ethics and accountability.
