Day Two at AI & Big Data Expo World Series in London, Olympia was all about AI regulation, and it’s clear: there’s no single rulebook.
The US, UK, and EU are all taking different approaches, creating a chaotic landscape for businesses trying to adopt AI responsibly.
Thanks for your insight:
Abhishek Das
Jo Joyce
Cristina Vanberghen
Giles Crown
Saber Fallah, PhD, PEng
Shairil Yahya
Larry Orimoloye
Emily Y. Yang
Chandrashekhar Kachole
Sanjay Puri
💡 My Key Takeaways on AI Regulation:
✅ The “AI Wild West” is real.
There’s a huge gap between different global AI regulations. The EU AI Act is taking a strict, risk-based approach, while the UK is favouring “light-touch, pro-innovation” policies. Meanwhile, the US just rescinded Biden’s AI executive order, signalling even more uncertainty.
✅ Regulatory sandboxes are important. Companies need a safe space to experiment with AI under relaxed rules before broader enforcement kicks in. But how do you scale that across different jurisdictions?
✅ Transparency, accountability, and risk management are non-negotiable. Companies must ensure their AI systems are explainable, aligned with ethical principles, and don’t amplify bias or misinformation.
Later, Dean Whitehouse (Head of Risk, UK Department for Science, Innovation & Technology) and Kerry Sheehan gave businesses some useful practical advice on navigating AI regulations:
🔹 Understand AI’s regulatory complexity – Businesses must track not just local laws, but global ones too. Many AI regulations have extraterritorial impact—meaning even if you’re based in the UK, you might still need to comply with EU or US rules.
🔹 Align AI governance with business strategy. Companies can’t wait for a universal AI law—they need internal policies now that prioritize ethical AI, risk assessment, and compliance frameworks.
🔹 Regulation is catching up with AI’s biggest risks. Social media manipulation, deepfakes, and AI-driven fraud were called out as major concerns. Misuse of AI in generating fake content and misinformation is already having real-world consequences.
💭 So where does this leave businesses?
The message was clear: AI governance won’t be solved overnight. Companies need to take responsibility now, setting internal policies before they’re forced to comply with stricter laws.
At Sage, working with Sage Ai and Copilot, I see firsthand how businesses are already adapting to AI regulation challenges—from ensuring data privacy to embedding explainability in AI-powered automation.
🌍 The big question: With AI regulations still in flux, how are companies balancing innovation with compliance? Should businesses take a proactive or wait-and-see approach?
My take on the AI ethics discussion to come!
Stacey McIntosh Declan Hare Ryan Grundy Natalie Sweet