AI Safety - Building Responsible and Reliable Systems
AI is evolving – are we ready for the risks?
Join us for an evening of thought-provoking discussion and networking as we explore the future of AI safety and risk mitigation with an expert panel.
Date: April 3, 2025 (Thursday)
Time: 5:30 PM – 8:30 PM
Location: Jackson Square, San Francisco, California (Details will be provided upon registration)
What to Expect?
Expert insights – Hear directly from industry leaders about the biggest safety challenges and opportunities in AI today.
Unfiltered conversations – Explore the real-world impacts and solutions to pressing issues like AI bias, legal liabilities, and ethical dilemmas.
Exclusive networking – Connect with industry professionals over great food and drinks.
Panel Discussion: AI Safety - Building Responsible and Reliable Systems
Key Topics:
AI Safety Strategies – How to balance innovation and safety across the AI lifecycle
Bias & Ethics in AI – Explore the potential dangers of AI and how to manage them
Legal & Compliance Challenges – Thriving in an evolving legal and governance landscape
Agenda
5:30 – 6:10 PM | Guest Arrival & Registration
6:10 – 6:15 PM | Opening Remarks
6:15 – 7:15 PM | Expert Panel Discussion
7:15 – 7:45 PM | Live Q&A with Audience
7:45 – 8:30 PM | Networking Reception (Drinks & Snacks)
Meet the Experts
Moderator: Madison Van Doren, Content Marketing Manager, Appen
Alice Desthuilliers, Principal Product Manager, Appen
Industry experts:
Hyunin Lee, PhD, UC Berkeley
Peter C. Magic, Partner & Maximillian McDonald, Associate, Desmarais LLP
Dr. Faye-Marie Vassel, Research Fellow, Stanford University
Secure Your Spot!
This event has limited seating, and you don’t want to miss it.
Registration is required to receive event details.
Who Should Attend?
AI Engineers & Data Scientists
Enterprise Leaders & Decision-Makers
AI Policy & Ethics Enthusiasts
Anyone who wants to shape the future of AI safety
About Appen
For 25+ years, Appen has been at the forefront of AI training, ensuring AI systems are human-guided, high-quality, and safe. From reinforcement learning from human feedback (RLHF) to red teaming and AI alignment, we help businesses develop AI that’s trustworthy, ethical, and effective.
Don’t miss out—register today!