[Online] EU AI Act Explained: It's Not Just About LLMs

Continuing our DPM webinar series aimed at upskilling & knowledge-sharing, we're joined by Hamish Silverwood - data scientist and AI researcher working on EU AI Act implementation as part of the EU-funded NoLeFa consortium! Does your organisation build, deploy, or procure AI systems? If so, the EU AI Act probably applies to you — and its scope goes well beyond large language models. Understanding what's covered, what's required, and what's coming is now a practical necessity, not a nice-to-have. Hamish Silverwood has hands-on experience with the Act's risk classifications, compliance frameworks, and the emerging standards that will shape how organisations implement them. He'll cut through the noise and explain what actually matters: What we'll unpack What counts as AI under the Act — and why the scope is wider than you thinkWhich use cases are outright prohibited, and which are classified as high riskWhat high-risk AI systems need to comply with — from risk management to bias, documentation to cybersecurityWho's responsible: providers, deployers, importers, and the roles most organisations haven't thought about yetHow ISO/IEC and CEN/CENELEC standards are turning legislation into practical requirements This is a practical briefing, not a legal lecture. If you work with data and AI in any capacity, you'll leave with a clear picture of what the Act means for your organisation and where to focus first. Perfect for: Data leaders, product managers, engineers, and anyone involved in building, deploying, or procuring AI systems — especially if you're unsure whether the Act applies to you. About our speaker Hamish Silverwood is a data scientist and AI researcher working at Piccadilly Labs as part of the NoLeFa consortium, an EU-funded project to support the implementation of the EU AI Act. As part of the project he is working on developing tools for testing AI systems, and contributing to Computer Vision standards within WG3 of CEN/CENELEC JTC21. Prior to this he worked as a data scientist at a sports tech startup, and as a postdoctoral researcher in astrophysics at the University of Barcelona. He has a PhD from the University of Amsterdam. How to join This livestream will be held privately inside our new digital space! Make sure you've joined us on Circle - signing up takes 30 seconds and is free. About the Data & AI Product community Data and AI product management is still a young discipline, and there aren't many spaces dedicated to learning from peers. So we started this meetup in 2023 to change that! Since then, it's grown into a vibrant community with chapters in London, Barcelona, and Paris. Whether or not "product" is in your job title, if you're involved in shaping data, analytics, and AI initiatives (e.g. product managers, strategists, BAs, data scientists, engineers, analysts) you'll find like-minded people here. This is an informal, welcoming space to swap lessons, share challenges, and enjoy drinks and snacks along the way 😊 You can meet us in person at our in-person meetups, but also join our global community where we have expert webinars, training courses, job postings, resources, and discussions. Quick FAQ Will this event be recorded? Yes, we will upload the recording here, along with previous DPM Community webinarsIf I sign up to this event, will I be opting into any marketing emails? No. We only use the Luma mailing list to invite you to upcoming community events and share community updates (like our end of year membership survey). You can always opt out of the Luma calendar.Can I mention this to a friend or colleague? Yes, of course! If they're based in London, send them this event. If they're not, it might be better to send them the LinkedIn Live link directly, so they don't get invited to all our in-person meetups too.Why are you doing this? Data & AI Product Management is a nascent field, and we created this community to bring together practitioners and help share our skills and experiences with those newer to DPM.