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The second webinar of the series will feature:

RAISE – RESPONSIBLE GENERATIVE AI FOR SMES IN UK AND AFRICA

Building on insights developed across several ethical AI projects, notably the EU-funded projects SHERPA, and SIENNA, this work will provide actionable guidance to small and medium-sized enterprises (SMEs) on how generative AI systems can be developed and used responsibly. By working with our SME partner Trilateral Research, (using the ‘with SMEs, for SME’s’ approach) the project has access to a company leading on socially responsible AI to co-design and test practical and actionable guidance on how generative AI can be integrated into innovative products. Impact will be generated for SMEs in the UK and in Africa.

Project lead: Professor Bernd Stahl, University of Nottingham. Working with Trilateral Research Ltd.

SAGE-RAi: SMART ASSESSMENT AND GUIDED EDUCATION WITH RESPONSIBLE AI

Can responsible Generative AI (GenAI) lead to improved student outcomes? In SAGE-RAi, we utilise partner-applied education-oriented GenAI tools to explore this. Inspired by Bloom’s 1984 study on 1-to-1 teaching’s efficacy and the potential for cost-effective, scalable personalised education, we aim to unlock this potential. Addressing tutor limitations in accommodating large cohorts, we investigate how responsible GenAI can enhance tutoring, offer tailored more personalised learning experiences and generate student feedback. Our goal is to create a platform supporting assessment and student guidance while responsibly applying GenAI, addressing challenges of misinformation, copyright, and bias. The journey embodies educational innovation for better outcomes.

Project lead: Professor John Domingue, Knowledge Media Institute, The Open University. Working with the Open Data Institute.

This webinar will be chaired by Professor Dame Muffy Calder, co-chair of Responsible AI UK.

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