Responsible AI from Industry, Academic and Policy Perspectives
Everyone is talking about responsible AI. Far fewer people are discussing what it actually looks like when organisations need to deploy and govern AI in the real world.
Is responsible AI primarily about ethics, compliance, risk management, or building better products? Do expectations differ for a university research lab, a start-up, a public sector organisation, or a multinational company? And who is accountable when AI-enabled decisions cause harm?
In this one-hour interactive discussion, we'll bring together perspectives from academia, industry, and policy to explore how responsible AI is understood and applied in practice. Rather than focusing solely on principles, we'll examine the realities of implementation: balancing innovation with governance, managing risk and accountability, and deciding where standards, guidance, or regulation are most needed.
We'll explore where academic, industry, and policy perspectives align, where they differ, and whether current expectations are realistic for organisations with different levels of resource, technical capability, and risk exposure.
Key Questions We'll Explore:
What does "responsible AI" mean from academic, industry, and policy perspectives, and where do those definitions differ?
Where is the biggest gap between responsible AI in theory and responsible AI in practice?
What should organisations realistically be expected to put in place before deploying AI at scale?
How should expectations differ according to organisation size, budget, technical capability, and the level of risk involved
Who should be accountable when an AI-enabled decision or action causes harm?
Who Should Attend?
AI researchers and academics
Policymakers, regulators, and public sector leaders
Founders and start-up teams building AI products
Innovation, risk, and governance professionals
Technology leaders, data scientists, and AI practitioners
Legal, compliance, and ethics professionals
Students interested in the future of AI governance and responsible innovation
Speakers
Yusra Ahmad
Founder & Managing Director, Acuity Data
Data and AI strategist with 18 years of experience across enterprise and government organisations in the UK and GCC. Founder of Acuity Data, former Chair of the RED Foundation Data Ethics Committee, UAE Country Researcher for the Global Index on Responsible AI, and author on data ethics and responsible AI.
Ian McKenzie
Partner, Bortstein LLP
Technology and data lawyer specialising in AI, data governance and IT agreements. Ian leads the Real Estate Data Foundation's Ethics Committee and is a recognised expert on the ethical and commercial deployment of AI and data technologies.
R. Maria del Rio-Chanona
Associate Professor, Computer Science, UCL
Researcher working at the intersection of machine learning, large language models, network science and economics. Her work explores the future of work, AI's economic impact, and the net-zero transition, with experience advising organisations including the IMF and ILO.
Selam Abdella
Researcher, Global Center on AI Governance
Researcher focused on the societal and economic impacts of AI, particularly for historically marginalised communities. Contributes to the Global Index on Responsible AI, co-authored the State of Responsible AI Report, and serves as Managing Editor of The Algorithmic Review.
Register now to join the discussion and bring your questions to the panel.