Description: AI holds transformative impact that touches every facet of modern life, bringing impactful solutions across numerous sectors, and reshaping economies, industries and societies on a global scale. Yet, while the promise of AI-driven innovation holds immense potential, there are challenges and risks in its design, development, and deployment often surrounding the role of humans, transparency, and inclusivity. If left unaddressed, these challenges might impede innovation and progress, undermining the trust necessary for the effective, wide-scale uptake of these technologies. The growing popularity of AI in recent years has accelerated the spread of both opportunities and challenges at a global scale, leading to the introduction of new principles and guidelines as well as policy, legal and regulatory frameworks that have altered the landscape in which AI technologies operate. It is against this backdrop that the imperative for robust, and globally interoperable AI governance emerges. Striking a balanced and risk-based approach is essential to ensuring innovation and inclusive socioeconomic progress can continue without undermining the trust necessary for the adoption and use of AI technologies. As the technology continues to evolve, each actor in the supply chain of AI systems has a specific role to play in its development, deployment, and use. Rather than applying a one-size-fits-all set of rules or regulations, there should be a prioritisation of risks and their potential impact, and then an implementation of measures to address these risks accordingly and closest to those responsible in the chain of actors. To operationalise AI policy and governance frameworks, international and multistakeholder cooperation must be brought to the fore. This workshop will bring together a diverse panel of speakers, that will discuss how new and existing approaches in AI governance can be best put into practice.
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