AI is becoming more autonomous, pressure to adopt is at an all time high, and responsible AI is no longer a nice-to-have. The business case is clear.
Embedding Responsible AI accelerates innovation, reduces financial risk & future-proofs your brand.
As Europe's premier closed-door gathering for leaders governing and scaling AI in enterprise, the Responsible AI Summit welcomes enterprise leaders driving AI at scale, through governance, data, security, risk, workforce and business transformation. As Europe’s premier closed-door gathering for enterprise leaders in Responsible AI, this event offers a rare opportunity to engage openly with peers facing the same operational challenges - beyond theory, beyond hype.
The 2026 agenda reflects what you’re dealing with right now:
- Governing autonomous and agent-based systems, and where accountability really sits
- Turning regulation, including the EU AI Act, into real operating models across teams
- Using Responsible AI to drive innovation at scale
- Rethinking human oversight as AI becomes part of everyday workflows
This year, agentic takes centre
stage. Sessions examine
how enterprises govern
agentic and multiagent
systems, define authority,
bound autonomy, and ensure
accountability that is clear to
technical teams, legal and risk
functions, and the C-suite.
With insight from:
AstraZeneca, Mastercard,
WPP, Intesa Sanpaolo, BT
Group, Aviva, Wells Fargo,
and Shell.
Explore how enterprises translate the EU AI Act into workable operating models, covering risk classification, AI literacy, human oversight, and
enforcement readiness across
legal, security, technical, and
business teams.
With insight from:
Signify, Westinghouse
Electric Company, Admiral
Group, Philips, Ericsson and
the BBC.
As AI embeds across the
business, accountability
increasingly spans functions.
Sessions address how
enterprises clarify ownership
and reduce friction between
legal and governance,
data and AI governance,
engineering and oversight,
and AI and security.
With insight from:
Centrica, Ford Credit,
Olympus, SHEIN and the
Financial Times.
As automation increases,
familiar oversight models are
under strain. Sessions explore
how enterprises preserve
human judgement, address
the hidden human workforce
behind AI systems, and
manage bias, explainability,
sustainability, and trust as AI
scales.
With insight from
Adecco Group, Vattenfall,
Sony, Visa, NatWest Group,
Wiley, and The Economist.
AI adoption is not about usage spikes or rollout metrics. It is not about pushing tools onto teams before they understand them.
This new Focus Day cuts through the noise to address the questions enterprises are already quietly wrestling with. It is designed for AI Adoption Leads, AI Literacy and Enablement teams, HR and early careers leaders, change and transformation roles,
and business leaders responsible for how AI actually lands across the organisation.
Designed for leaders doing the work, these practitioner-led workshops focus on the realities of enabling Responsible AI at scale - equipping you with practical approaches to governance, communication, and implementation across the enterprise.
Not just a conference - it’s a space designed to bring the Responsible AI community together in a more open, engaging way.
Alongside the core agenda, the Summit includes a range of interactive and social experiences designed to spark conversation and build real connections. From the Responsible AI community run to the RAI quiz, these moments create a relaxed environment to meet peers and continue discussions beyond the stage.
The #RAISummit mission remains to create space for honest dialogue, shared challenges, and meaningful collaboration.
Explore how to turn Responsible AI from principle into practice. In this stream, you’ll learn how to operationalise the EU AI Act, align legal, risk, and governance teams, and build accountability models that actually work at scale. Discover how your peers are embedding oversight into day-to-day operations, streamlining compliance, and creating governance frameworks that are not only robust, but enable innovation with confidence.
Discover how to design and deploy AI systems that are governed by design, not as an afterthought. This stream shows you how to build resilient, explainable, and fair systems—even as data shifts and complexity grows. Learn how leading organisations are embedding controls into engineering workflows, managing risk in agentic and multi-agent systems, and ensuring performance, transparency, and accountability in production environments.