AI is no longer experimental. It's embedded across the enterprise, and the pressure to scale it responsibly has never been higher.
The 2026 agenda is built for leaders navigating exactly that challenge. Whether you're defining governance frameworks, implementing the EU AI Act, or driving AI adoption across the business, this is where you'll see what's actually working in practice.
Download the full agenda to explore how organisations like AstraZeneca, Mastercard, Philips, Shell, and Lloyds Banking Group are turning Responsible AI from principle into execution, across governance, engineering, risk, and workforce transformation.
What You'll Get
AI adoption is accelerating, but many companies are moving too fast—leading to poor ROI, lost trust, and costly failures. A recent Accenture survey found that 56% of Fortune 500 firms now cite AI as a risk, up from 9% last year. Alarmingly, 74% paused at least one AI project due to unexpected issues. AI incidents—from bias to breaches—are up 32% in two years, and 91% of firms expect more. Nearly half foresee a major AI failure within a year, with potential value loss of 30%. It’s time to get ahead of the risks.
From AI agents making independent decisions to GenAI systems executing complex workflows without human approval, the era of Agentic AI has arrived. And with it comes a whole new set of governance, safety, and ethical challenges. In this exclusive content feature - with insights from The Global State of Responsible AI in Enterprise - we dive into:
🔍 What Agentic AI is, and how it differs from traditional AI
🏢 How enterprise leaders are beginning to deploy and govern AI agents
⚠️ Key risks and accountability concerns unique to autonomous systems
📊 Practical strategies for governance, monitoring, and mitigation
If your organisation is adopting - or even considering - Agentic AI, this report is essential reading.
In 2025, AI systems are under growing pressure - not just from evolving regulations, but from real and rising threats. From deepfakes to data leaks, model manipulation to hallucinated outputs, enterprises are facing a new class of cybersecurity risks driven by GenAI and LLMs. Are your defenses ready? Find out in this exclusive feature. Download your complimentary copy now >>
In 2025, AI systems are under growing pressure — not just from evolving regulations, but from real and rising threats. From deepfakes to data leaks, model manipulation to hallucinated outputs, enterprises are facing a new class of cybersecurity risks driven by GenAI and LLMs. Are your defenses ready?
September 2024, over 150 industry leaders, regulators, and academics came together to drive global progress in Responsible AI. From de-risking technology to implementing governance and compliance frameworks, our Post-Event Report showcases agenda highlights, participating companies, and attendee testimonials.
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Artificial intelligence (AI) continues to evolve at an astonishing pace, with Large Language Models now leading new discourse about AI risk and safe usage. Meanwhile, governments worldwide are taking more interest in AI and are introducing guidance documents and legislation to encourage responsible use by both developers and end-users. In this report, we examine these 5 steps you can take to stay ahead of the curve in preparation for your AI journey.
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