Mansha Kohli is a motivated individual currently pursuing a BA (H) in Political Science at Sri Venkateswara College, University of Delhi. Her academic journey reflects a deep commitment to understanding complex political issues and their societal implications. She has a deep-rooted interest in social entrepreneurship and event management and wants to work towards resolving conflicts and act as a catalyst of positive change.
Event Overview
Title: Public Keynote Panel Discussion: “Negotiating the Future: Global AI Governance Between Innovation and Regulation”
Date: Thursday, July 11th Time: 18:15-19:45 CEST
Location: Aula Alte Kantonsschule, Zürich & Online
Moderated by: Tea Mustać, Privacy and IP Specialist at SPIRIT LEGAL, and Fellow at the European Law Institute
Panelists:
– Ayisha Piotti: Managing Partner at RegHorizon, and Head of the AI Policy Summit at ETH Zürich
– Christophe Larouer: Senior Speechwriter, and Advisor in Emerging Technologies at the International Telecommunication Union (ITU)
Introduction
The keynote panel discussion at the Global Negotiation Conference 3024 focused on the vital topic of global AI governance, emphasising the importance of striking a balance between encouraging innovation and enforcing appropriate regulations. This session featured panelists Ayisha Piotti and Christophe Larouer, moderated by Tea Mustać. The discussion delved deeply into the philosophical, practical, and regulatory issues of AI governance.
Panelist Contributions
Ayisha Piotti’s Perspective
Ayisha Piotti focused on the philosophical and practical challenges of AI governance. She stressed the inherent difficulty in determining the appropriate level and nature of regulatory intervention. Key points from her discussion included:
– Balancing Regulation and Innovation: Piotti highlighted the risk of stifling innovation, particularly for smaller entities, through overly stringent regulations. She expressed the need for a balanced approach that ensures fairness and effective regulation without impeding technological progress.
– Enforcement Mechanisms: She stressed the importance of establishing robust enforcement mechanisms that can manage societal transitions due to AI. These mechanisms should aim for minimal disruption and an equitable distribution of benefits.
– Philosophical Challenges: Piotti delved into the deeper philosophical issues of AI governance, questioning how societies can define and measure fairness, accountability, and transparency in AI systems.
Christophe Larouer’s Perspective
Christophe Larouer provided a complementary view, focusing on the impact of AI on both the public and private sectors. His key points included:
– Public Sector Impact: Larouer discussed the significant influence of AI on public sector areas such as cybersecurity and human rights. He referenced efforts by the Council of Europe to create conventions addressing these critical issues.
– Private Sector Dynamics: He highlighted the rapid pace of AI innovation in the private sector, often outstripping existing regulatory frameworks. Larouer stressed the necessity for collaboration between governments and corporations to develop regulations that protect public interests while supporting continuous innovation.
– Corporate Capture: He warned of the dangers of corporate capture, where large corporations unduly influence regulatory processes, leading to economic and social disruptions. He advocated for strategies to ensure that AI-driven advancements benefit society fairly .
Key Themes and Debates
Innovation vs. Regulation
The panellists engaged in a dynamic debate over the best approaches to AI governance. While they agreed on the need for international cooperation and multi-stakeholder involvement, their opinions varied on the specifics of implementation:
– Cautious Approach (Piotti): Ayisha Piotti argued for a cautious approach to avoid stifling innovation. She suggested that regulations should be flexible enough to adapt to regional variations and the evolving nature of AI technologies.
– Immediate Regulatory Measures (Larouer): Christophe Larouer, on the other hand, advocated for more immediate regulatory measures to address emerging risks. He emphasised the need for standardised international regulations to provide clear guidelines and prevent potential misuse of AI technologies.
Global Conventions on AI Governance
The idea of global conventions on AI governance was another focal point of the discussion:
– Flexible Approach (Piotti): Piotti proposed a flexible approach that allows for regional variations in regulations, taking into account the diverse contexts and needs of different countries and regions.
– Standardised Regulations (Larouer): Larouer stressed the importance of standardised international regulations to ensure consistency and fairness in AI governance. He argued that global conventions could provide a framework for addressing common challenges and fostering collaboration among countries.
Conclusion
The Global Negotiation Conference 3024 highlighted the complexities and critical nature of balancing innovation with regulation in AI governance. The insights from Ayisha Piotti and Christophe Larouer, moderated by Tea Mustać, underscored several key points:
– International Cooperation: There is a clear need for international cooperation to develop effective AI governance frameworks. Collaboration between governments, corporations, and other stakeholders is essential to address the global challenges posed by AI.
– Robust Enforcement Mechanisms: Effective enforcement mechanisms are necessary to manage societal transitions due to AI and ensure that the benefits of AI are equitably distributed.
– Inclusive Policies: Policies should aim to mitigate disruptions and promote inclusive growth, ensuring that advancements in AI benefit all segments of society.
The conference provided an excellent forum for debating the future of AI governance and the actions required to manage this quickly changing subject. The discussions underlined the significance of combining innovation and regulation to optimise AI’s benefits while limiting potential hazards and disruptions.
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