UC Berkeley & UCSF · MIT ’22
Prof. Irene Chen
Assistant Professor
Research Slam · Live lead-up event · Wednesday, August 26
Trust, but Verify
AI Safety from the Lab to the Real World
A live panel on evaluating, securing, and responsibly deploying AI and setting the stage for Research Slam this October.
From insight to impact
Research that moves beyond the paper
The Research Slam is a fast, accessible showcase for academics and researchers tackling consequential real-world problems. Presenters distill their work into a memorable story: what matters, what changed, and where it could lead.
This year’s theme, Trust, but Verify, focuses on how we evaluate, secure, govern, and responsibly deploy increasingly capable AI systems. The stage connects promising research with the operators, collaborators, and investors who can help take it further.
Rapid-firepresentation format
Lab → worldresearch with a path to impact
Cross-sectoracademic and industry audience
The conversation
RSVP on Luma Meet the Panelists
Two perspectives on AI safety, from research to real-world deployment.
6:15–8:30 PM525 Market St · San Francisco
Hugging Face · MIT ’15, ’16
Dr. Abubakar Abid
ML Team Lead & Gradio Co-Founder
Why this conversation now
The panel surfaces the key challenges, perspectives, and open questions in Trust & Safety that will frame the research presented at the Slam, including evaluation, alignment, bias, and high-stakes deployment.
View event detailsEvening agenda
What to expect
- 016:15 PM
Doors open
Pizza, drinks, and informal networking with researchers and builders from across the Bay Area.
- 026:45 PM
Audience prompt & poll
A quick pulse-check surfaces the room’s biggest questions about trust, safety, and deployment.
- 037:00 PM
Moderated panel
A conversation spanning model evaluation, alignment, bias, high-stakes applications, and real-world deployment.
- 047:40 PM
Audience Q&A
Bring your toughest questions and help shape the themes carried into the Research Slam.
- 058:00–8:30 PM
Informal conversation
Continue the conversation with the panelists and fellow attendees.
Arrival information
Check in with building security in the lobby at 525 Market Street. The lobby team will provide elevator access to the 32nd floor, where a member of the Goodwin team will greet you.
Pizza and drinks will be served.One question, every field
Trust & Safety, from every angle
This year's Research Slam centers on Trust & Safety: from how we build and evaluate AI systems to how they interact with people, institutions, and the world. That question reaches across research areas.
01
Healthcare & Bio AI
Clinical decision support, diagnostics, drug discovery, personalized care, and AI systems built for sensitive health settings.
02
Robotics & Autonomy
Embodied intelligence, safe control, human–robot collaboration, and autonomous systems that operate beyond the lab.
03
LLMs & Agents
Reasoning, tool use, agent architectures, evaluation, and dependable systems capable of taking meaningful action.
04
AI Safety & Alignment
Robustness, interpretability, red teaming, governance, and practical approaches to keeping capable systems aligned.
05
Computer Vision
Perception, multimodal learning, spatial intelligence, synthetic media, and trustworthy vision in the real world.
06
AI for Climate
Research accelerating climate modeling, energy systems, materials discovery, adaptation, and environmental resilience.
07
Human–AI Interaction
New ways people create, decide, learn, and collaborate with AI, designed around agency, access, and human values.
08
Foundations & Theory
Learning theory, optimization, new model architectures, data methods, and the scientific ideas underpinning what comes next.
Have something worth sharing?
Bring your research to the main stage.
If your research helps us understand how intelligent systems work, fail, affect people, or can be made more reliable, we want to hear about it!
From last year
View on YouTube Watch the 2025 presentations
Oct 17, 2026 · Mountain View, CA