Does AI control us, or do we control AI?
Event PAST

Does AI control us, or do we control AI?

15 July Online

About this event

AI is rapidly changing how organisations make decisions, manage complexity and deliver outcomes. But as AI becomes more influential, a critical question emerges:
Does AI control us, or do we control AI?
The Product Playground is joining forces with PMI UK London for a timely and engaging evening exploring one of the most consequential governance challenges of our time: proving that human authority over AI-driven decisions is real, not assumed, not claimed, but evidenced.
We are delighted to welcome Steve Butler, Founder of Luminary Diagnostics, who will lead a thought-provoking discussion on the implications of AI for delivery professionals, project leaders, product managers and organisations preparing for the future of work. Steve has extensive experience in delivery, including portfolios, programmes, projects and PMOs, and has contributed to PMI portfolio management standards.
This session will explore:
• What meaningful human authority over AI looks like
• Why AI governance needs evidence, not just intention
• How AI may affect project, product and delivery professionals
• The risks, opportunities and responsibilities AI creates
• What leaders and practitioners should start thinking about now
Whether you work in product, project management, transformation, technology, operations, consulting, academia or leadership, this event will help you reflect on how AI is reshaping work and what responsible control should look like in practice.

Event details

Date: Wednesday, 15 July 2026
Time: 6:00 pm to 8:00 pm
Venue: University of Westminster, 35 Marylebone Road, London NW1 5LS
Room: Orla Gough Lecture Theatre
Speaker: Steve Butler, Founder, Luminary Diagnostics
Host: Himanshu Jain, DL
The official event details and registration are available through PMI UK.

Who should attend?

This event is suitable for:
• Product managers and product leaders
• Project, programme and portfolio professionals
• Delivery and transformation leaders
• Agile practitioners and PMO professionals
• Consultants, trainers and academics
• Students and early-career professionals interested in AI, governance and the future of work

Want to find AI jobs?

Join thousands of AI professionals finding their next opportunity

We respect your inbox. Unsubscribe at any time.

© 2026 DevFound.ai. All rights reserved.

Common Questions

Frequently asked questions

Quick answers about how DevFound's AI matching, resumes, and referrals work.

DevFound's AI Copilot ingests your profile, goals, and live job data to deliver curated matches in seconds. Every match includes a resume variant, suggested referrals, and interview prep so you can act immediately. The more feedback you provide, the sharper the Copilot becomes.

AI-led job searches shrink the hours spent sifting through boards and formatting resumes. DevFound pairs automation with your personal outreach, so you reserve energy for interviews and negotiation. Traditional networking still matters, but AI gives you a lift before you even send a message.

Modern AI roles expect comfort with production-grade code, data fluency, and practical ML tooling. The strongest candidates pair deep technical chops with storytelling—translating model impact to product, GTM, and exec partners. Continuous learning keeps you ahead as stacks evolve.

DevFound rewards active seekers. Keep your profile fresh, respond to match quality prompts, and enable alerts so you never miss a role. The AI prioritizes companies and teams that align with your feedback, accelerating both introductions and interview invites.

High-density tech hubs continue to host the deepest AI talent pools, yet distributed teams are catching up fast. Use DevFound filters to hone in on onsite, hybrid, or fully remote roles and watch openings expand across time zones.

DevFound aggregates thousands of remote AI openings and flags the nuances—core hours, async culture, and visa needs—up front. The Copilot also recommends how to position your distributed work experience so hiring managers know you can thrive on a remote team.