Trustworthy Agents for 2027

DAPLab Showcase | February 2, 2027 | Amazon, Times Square

How do we stop AI agents from doing bad things,
and get them doing good work?

AI agents are moving from demos into real work, and in 2027 the hard questions are about trust. Will the biggest failures come from bad data, or from agents escaping their sandboxes? Who checks the AI-generated output piling up in every organization? Can we secure agents with fundamental solutions we already know how to build?

This showcase brings industry and academic speakers together with the faculty and students of the Data, Agents and Processes Lab (DAPLab) at Columbia to share how to prevent the bad things agents can do and enable the productivity they promise: talks, a panel, live demos, and student posters.

The event is invite-only, for leaders from industry and government. See our past workshops.

When: Tuesday, February 2, 2027

Where: Amazon Offices, Times Square, New York City

Time: 9:00am-4:30pm, includes breakfast and lunch

Entry: Bring a government-issued photo ID, and register with your full legal name as it appears on it.

Registration: By invitation. Use the access code in your invitation.

Register (by invitation)
DAPLab Logo Columbia SEAS Logo Columbia DSI Logo Amazon

DAPLab Research on Trustworthy Agents

Prevent bad thingsEnable productivity
Evaluation Testing and checking agent software Human oversight, productivity, and measuring real work
Security Full-stack security, and red teaming for defense Quality infrastructure: design, abstraction, sandboxing, and runtime checkpoint and rollback
Data Data quality and robustness Agents that answer questions over data lakes (LakeQA), and pretraining and post-training

Speakers


Eugene Wu

Eugene Wu

Columbia CS, DAPLab Co-director

Zhou Yu

Zhou Yu

Columbia CS, DAPLab Co-director

Simha Sethumadhavan

Simha Sethumadhavan

Columbia CS

Suman Jana

Suman Jana

Columbia CS

Kostis Kaffes

Kostis Kaffes

Columbia CS

Junfeng Yang

Junfeng Yang

Columbia CS

Lydia Chilton

Lydia Chilton

Columbia CS

Micah Goldblum

Micah Goldblum

Columbia EE

John Hewitt

John Hewitt

Columbia CS

Neel Guha

Neel Guha

Columbia Law School

Schedule



9:00

Breakfast and Check-in

9:30

Welcome

Prof. Eugene Wu and Prof. Zhou Yu

Co-directors of DAPLab, Columbia CS Faculty

9:45

Morning Keynote

10:30

Evaluation: Checking What Agents Do

Junfeng Yang, Columbia Computer Science · testing agent software

Lydia Chilton, Columbia Computer Science · HCI and human oversight

Zhou Yu, Columbia Computer Science · agents and productivity

Neel Guha, Columbia Law School

11:30

Security: From Full-Stack Defenses to Safe Runtimes

Simha Sethumadhavan, Columbia Computer Science · full-stack security

Suman Jana, Columbia Computer Science · red teaming for defense

Kostis Kaffes, Columbia Computer Science · sandboxing, checkpoint and rollback

12:30

Lunch, Student Posters and Live Demos

DAPLab students

1:30

Afternoon Keynote

2:15

Data: Quality In, Quality Out

Micah Goldblum, Columbia Electrical Engineering · data quality

Eugene Wu, Columbia Computer Science · LakeQA

John Hewitt, Columbia Computer Science · pretraining and post-training

3:15

Industry Panel: The Top AI Security Risk of 2027

As agents take on more autonomous work in 2027, which risks will matter most: unreliable data, or agents acting beyond their intended permissions? Industry and government leaders discuss where the next failures are likely to come from and what safeguards organizations should build now.

4:00

Partnering with DAPLab, and Closing Remarks

Eugene Wu and Zhou Yu

4:30

Close

Past Speakers Include

Laurens van der Maaten

Laurens van der Maaten

Anthropic

Keynote, Oct 2025

Sasha Rush

Sasha Rush

Cursor

Keynote, Oct 2025

Jason Wei

Jason Wei

OpenAI · Keynote, Mar 2025

Danielle Perszyk

Danielle Perszyk

Amazon AGI · Keynote, Mar 2025

Jonathan Frankle

Jonathan Frankle

Databricks

Wenyue Hua

Wenyue Hua

Microsoft Frontier AI

Zach Lipton

Zach Lipton

CTO of Abridge & CMU faculty

Justin Debrabant

Justin Debrabant

Databricks

Natalia Dorogi

Natalia Dorogi

McKinsey Quantum Black

Jamshed Cooper

Jamshed Cooper

UBS

Rotem Weiss

Rotem Weiss

Tavily

Mehdi Jamei

Mehdi Jamei

Veris

Baishakhi Ray

Baishakhi Ray

Columbia CS

Tianyi Peng

Tianyi Peng

Columbia CBS

Karina Nguyen, OpenAI Lei Kang, Google Cheng Tan, Microsoft Jim Laredo, IBM Xiaofeng Wang, LinkedIn Chris Xi, Zoom Eric Kuang, Datadog Cong Yu, Celonis Sivan Veera, Infosys Deepak Dastrala, Intellect Diane Yu, Tidalwave Yun Zhang, Millennium Yin Luo, Wolfe Research

Past Workshops

Photos from March 2025

Questions?
Email Prof. Lydia Chilton - chilton@cs.columbia.edu