Edinburgh Data Science and AI

⌖ Edinburgh · Playfair Library Hall

Hosted by PauseAI UK

A Scotland-focused panel on AI responsibility brings politicians and technical and policy experts to Edinburgh on 1 November 2026. Hosted by PauseAI Scotland at the University of Edinburgh’s Playfair Library Hall, this structured discussion will examine a pressing question: who is responsible when AI goes wrong? Panellists will consider how Scotland’s political, technical and policy communities are modelling AI’s threats, uncertainties, opportunities and possible responses. The event description contrasts AI governance with tightly regulated fields such as aviation, pharmaceuticals and nuclear technology. It cites a 2026 UN report on AI, warnings from frontier AI professionals and a reported AI model evaluation security incident as context for the debate. Schedule - 13:30: Doors open - 14:00: Welcome and keynote - 14:30: Panel discussion - 15:30: Planned break - 15:45: Audience Q&A - 16:00: Closing and networking, with light refreshments The second half of the discussion is dedicated to audience questions, followed by informal conversation between attendees and panellists. The event is suited to anyone interested in AI safety, public policy and accountability; no specific experience level is stated. Individual panellists have not yet been published on the event page. The event takes place at Playfair Library Hall, University of Edinburgh, South Bridge, Edinburgh EH8 9YL, from 1:30pm–4:30pm GMT. Learn more about the organiser at PauseAI UK. Register for the panel discussion

⌖ Edinburgh · Stansted House, 3rd Floor, 12-14 Long Lane, London EC1A 9PN, UK

Hosted by The Investment Association (IA)

IA Conference Scotland 2026 brings investment leaders, policymakers and innovators to Edinburgh on 5 November for debate on AI, regulation and sustainable growth. Taking place at The Exchange, EH3 8EE, this flagship one-day conference from The Investment Association will examine how Scotland can strengthen its position as a global centre for investment management. More than 330 attendees from 110+ organisations are expected, including senior decision-makers, regulators and policymakers. What to expect The programme combines keynote speeches, leadership panels, fireside chats, presentations, interactive sessions and networking. Across 20+ thought-leadership sessions and more than eight hours of content, delegates will explore: - AI, digital transformation and technological disruption in asset management - Regulatory change, political developments and global market dynamics - Changing client expectations and the future of retail investing - Operational resilience amid cyber threats, geopolitical tension and supply-chain disruption - Talent, competitiveness and Scotland’s role in attracting capital - Sustainable growth and the investment industry’s contribution to UK prosperity An AI-focused debate featuring Dr Sonia Schulenburg of Level E Research will ask whether artificial intelligence is an incremental development or a fundamental shift for asset management, and consider how it is already reshaping the industry. Speakers and sessions The day begins with breakfast and networking from 08:00, followed by the main conference programme. John Owen, CEO of The Investment Association, will deliver his first address at the Scottish conference before moderating a leadership panel with Xavier Meyer of Aberdeen, Kirstie MacGillivray of Aegon, Sandra Boss of BlackRock and Scott Wallace of Aberforth Partners. Further highlights include: - A conversation with Stephen Flynn MSP, Cabinet Secretary for the Economy, on Scotland’s economic priorities and investment-led growth - A resilience fireside chat with Kenneth MacKay of M&G Asset Management - Miranda Seath’s launch of new IA analysis into boutique asset management in 2026, with a focus on Scotland - A discussion about how demographics, technology and changing attitudes to risk are transforming investing for individuals… Register for this event

Sponsors: FundGuard

⌖ Edinburgh · Codebase

Hosted by TechTalks Edinburgh

Learn how to judge whether AI-written code makes a codebase safer or riskier at TechTalks Edinburgh 10, taking place at CodeBase in Edinburgh on 10 November 2026. Legacy in Months, Not Years Lead Software Engineer Dmitriy Fedoryshchev will share lessons from modernising a 600-table, 21 TB legacy core into microservices after four previous attempts. His squad adopted a custom multi-agent system while following one central doctrine: only merge code that can be understood and explained. The talk explores how to assess agent-written code, identify the rules AI agents repeatedly break, and turn those rules into automated checks that agents cannot skip. Dmitriy brings experience spanning startups and enterprises, plus more than 100 merged open-source pull requests across 20 projects, including Anthropic, OpenAI and Microsoft. This meetup is relevant to software engineers, technical leads and anyone interested in AI-assisted development, maintainability and open-source tooling. Both experienced professionals and people earlier in their tech careers are welcome. Agenda - 6:00–6:30pm: Drinks, pizza and introductions - 6:30–6:40pm: Opening talk - 6:40–7:30pm: Main talk - 7:30–7:45pm: Q&A - 7:45–8:00pm: Networking and close - From 8:00pm: Afterparty at a nearby pub The event takes place at CodeBase, 38 Castle Terrace, Edinburgh EH3 9DZ. Partners include CodeBase, Dougray, Scottish Technology Club, Beyond Tech and Lyxonn. Photography and video will be captured for social media; notify the organisers if you prefer not to appear. Register for TechTalks Edinburgh 10.

Sponsors: CodeBase · Dougray +3

⌖ Edinburgh · A&DS:SpACE (access via Middle Meadow Walk)

Hosted by Architecture and Design Scotland (A&DS)

Explore how generative AI is reshaping architectural practice at this in-person event in Edinburgh on 12 November 2026. Hosted by Architecture and Design Scotland (A&DS), the afternoon brings academics and practitioners together to examine how emerging AI tools are being adopted across architectural and urban design workflows. The discussion will cover AI’s potential to enhance innovation and productivity, particularly for small and medium-sized practices in Scotland, alongside its practical limitations. Speakers and topics Headline contributors include Dr Juliana Martins, Bahar Durmaz-Drinkwater, Kathryn Firth and Pei-Chin Lin. Attendees will hear perspectives from UCL Bartlett Faculty of the Built Environment and Arup, followed by a panel featuring Graham Ross of Austin-Smith:Lord and other contributors. Topics include: - The changing role of designers and the future job market - Integrating generative AI into professional workflows - Intellectual property, authorship and accountability - Environmental, social and ethical implications - Opportunities and challenges specific to Scottish practice The event runs 12:30–17:00 at A&DS:SpACE, 1 Lauriston Place, accessed via Middle Meadow Walk. Registration opens at 12:30 with tea, coffee and water, followed by headline presentations from 13:00, a break and panel discussion. A&DS:SpACE is a collaborative venue focused on the built environment. Get tickets for Demystifying AI in Architectural Design

⌖ San Francisco · Hyatt Regency Burlingame

Hosted by Open Data Science Conference (ODSC)

Learn to build production-ready AI systems in just seven weeks with the AI Engineering Accelerator bootcamp, a hands-on training program that bridges the gap between using AI and building it. Running from June 9 through October 29, 2026, this intensive program combines virtual instruction with a multi-day in-person capstone at the Hyatt Regency Burlingame during ODSC AI West 2026. Designed for professionals ready to move beyond tutorials, the Accelerator provides comprehensive training in the core disciplines of modern AI engineering: large language models (LLMs), agentic AI systems, and production deployment. You'll gain practical experience with the latest tools and frameworks used by leading AI teams, learning not just how to use AI, but how to architect, build, and ship AI-powered applications. Program Structure The bootcamp follows a hybrid learning model that maximizes flexibility while ensuring hands-on engagement. Starting with the Summer Cohort on June 9, you'll participate in virtual training sessions led by experienced AI practitioners. The program culminates in an intensive in-person segment from October 27-29, 2026 at the Hyatt Regency in Burlingame, California, integrated with the main ODSC AI West conference. This dual-format approach allows you to build foundational knowledge remotely while maintaining your current work commitments, then apply those skills in collaborative, hands-on projects during the in-person sessions. You'll also gain full access to ODSC AI West's conference tracks, expo, and networking events. What You'll Learn The curriculum focuses on production-grade AI engineering, covering: - LLM development and deployment — Fine-tuning, prompt engineering, and optimization techniques - Agentic AI systems — Building autonomous agents and workflow automation - AI Engineering fundamentals — MLOps, model serving, monitoring, and scaling - Real-world implementation — Moving from prototype to production with confidence Organized by Open Data Science Conference, which has spent 11 years training thousands of AI engineers and data scientists, the Accelerator draws on ODSC's deep expertise in practical AI education. The program features specialization tracks tailored to different AI engineering domains, allowing you to focus on the areas most relevant to your career goals. Who Should Attend This bootcamp is designed for professionals who already work with AI tools and are rea

⌖ Sheffield · The Edge, University of Sheffield, 34 Endcliffe Crescent, Sheffield, S10 3ED

Hosted by APRIL

The APRIL AI Hub Annual Summit 2026 brings together researchers, practitioners, and innovators at the forefront of artificial intelligence and machine learning for a full day of knowledge sharing and collaboration in Sheffield. Taking place at The Edge at the University of Sheffield, this conference serves as the flagship annual gathering for the APRIL (AI for Precision Medicine and Healthcare, Privacy, Reproducibility, Interpretability, and Learning) community. As the second annual summit following the inaugural event in Edinburgh, this conference continues APRIL AI Hub's mission to advance responsible AI research and practice across healthcare, precision medicine, and beyond. The summit provides a vital platform for cross-sector dialogue between academic researchers, industry partners, healthcare professionals, and policy makers working at the intersection of AI, ethics, and real-world applications. What to Expect While the detailed programme is still being finalised, attendees can expect a comprehensive agenda featuring: - Keynote presentations from leading figures in AI research and healthcare innovation - Research showcases highlighting cutting-edge work in precision medicine, privacy-preserving AI, reproducible research methodologies, and interpretable machine learning - Panel discussions exploring the ethical, regulatory, and practical challenges of deploying AI systems in sensitive domains - Networking opportunities to connect with peers across academia, industry, and healthcare sectors - Poster sessions and demonstrations of ongoing research projects Who Should Attend This summit is designed for: - AI and machine learning researchers working on healthcare applications - Data scientists and engineers building trustworthy AI systems - Healthcare professionals interested in AI-driven precision medicine - Policy makers and ethicists concerned with responsible AI deployment - PhD students and early-career researchers in AI and related fields - Industry partners exploring AI applications in regulated environments About APRIL AI Hub The APRIL AI Hub represents a collaborative initiative advancing responsible AI research with particular emphasis on healthcare applications, data privacy, reproducible science, interpretable models, and robust learning systems. Previous APRIL events have established a strong reputation for bringing together diverse perspectives on the challe