We sat down with Dr Alessio Azzutti, Senior Lecturer in Law and Technology at the University of Glasgow and a contributor to The Future of AI Governance and Compliance in Financial Services research report, following the roundtable discussion at its launch in the House of Lords. Alessio reflects on the following key issues:
1. Capacity is a key constraint on AI governance
Capacity is one of the most immediate challenges. That means the human capital available, the expertise to engage with AI-related questions, and the confidence to deal with them. Governance depends on these resources.
2. A common language is needed to solve a coordination problem
AI is a complex development unfolding in an already complex society. Above all, what is still missing is a shared understanding and a common language, a lingua franca, between the different parties involved in this socio-technical change. Those parties need to coordinate to solve a significant problem, which is building trust around AI adoption in society. That requires taxonomies and a shared dictionary, so that everyone can speak the same language.
3. AI risks can only be understood in context
AI problems and AI risks are highly context-specific. What is still missing is the exercise of placing them in context. That contextualisation is key to understanding the capabilities of AI systems, as well as the risks they create and the governance they require.
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