In this webinar, Professor Diane Coyle, Bennett Professor of Public Policy at University of Cambridge, will share the work of the RAi UK satellite project, Responsible & Trustworthy AI: Economic Landscape Analysis.

The project’s core research questions are:

• How can Responsible AI drive productivity and economic prosperity, and conversely how can productivity and economic considerations be taken into account in developing Responsible AI?
• Where do the benefits and costs of AI technologies accrue, especially productivity gains?
• What incentive structures, business models and regulatory frameworks will shape the character of the technologies, with their associated costs and benefits, so they are deployed responsibly across society and enhance the UK’s prosperity?

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In this one-year project, the Bennett Institute for Public Policy, The Productivity Institute and the Economic Statistics Centre of Excellence (ESCoE), will draw on existing RAi UK work to address these questions through a combination of broad landscape mapping and focused examples.

They will seek to analyse economic incentives and organisational or business models, appropriate regulatory frameworks and trade-offs, opportunities and challenges for the technology itself, and for potential mechanisms to monitor and enforce governance and incentive structures, and to understand where benefits and costs of the technologies are accruing. Their analysis can contribute to prioritizing research themes in Responsible AI, a preliminary step before further resources and work are deployed to continue addressing this key question.