Podcast |
AI Snake Oil |
The Prompt Podcast, Denmark |
November 2024 |
Invited talk |
On
the Societal Impact of Open Foundation Models |
AI Policy and Regulation Workshop, University of Rochester |
November 2024 |
Book Talk |
AI Snake Oil |
Fidelity |
November 2024 |
Book Talk |
AI Snake Oil |
Princeton University GradFutures Responsible AI course |
November 2024 |
Invited talk |
Promises and Pitfalls of AI in
law |
Law and Technology Centre, HKU |
October 2024 |
Book Talk |
AI Snake Oil |
AirBnB |
October 2024 |
Invited talk |
Is
AI-generated disinformation a threat to democracy? |
Global Summit on the Future of Free Speech |
October 2024 |
Book Talk |
AI Snake Oil |
Princeton Public Library |
October 2024 |
Policy seminar |
Types of
AI and AI Snake Oil |
AAAS Center for Scientific Evidence in Public Issues |
October 2024 |
Policy course |
Open source AI and its policy implications |
Wilson Center (Executive staffers) |
October 2024 |
Podcast |
AI Agents That Matter |
Weaviate Podcast |
October 2024 |
Book Podcast |
AI Snake Oil |
Adam Conover's Factually! Podcast |
October 2024 |
Book Talk |
AI Snake Oil |
AI & Social Sciences Seminar, Paris |
September 2024 |
Book Podcast |
AI Snake Oil |
Eric Topol's Ground Truths Podcast |
September 2024 |
Book Talk |
AI Snake Oil |
City Lights |
September 2024 |
Policy seminar |
Types of
AI and AI Snake Oil |
AAAS Center for Scientific Evidence in Public Issues |
August 2024 |
Podcast |
The threat of existential risk from AI |
Machine Learning Street Talk Podcast |
August 2024 |
Policy course |
Open source AI and its policy implications |
Wilson Center (Legislative staffers) |
August 2024 |
Conference Oral Presentation |
On the Societal Impact of Open Foundation Models |
ICML Oral |
July 2024 |
Invited talk |
AI agents that matter |
Meta (Core Applied Sciences) |
May 2024 |
Invited talk |
AI and disinformation |
Dutch Ministry of Interior and Kingdom Relations workshop |
May 2024 |
Invited talk |
On the Societal Impact of Open Foundation Models |
Toronto AI Safety group |
May 2024 |
Panel |
Understanding and Unlocking AI's Economic Potential |
World Bank Measuring Development 2024 |
May 2024 |
Invited talk |
On the Societal Impact of Open Foundation Models |
Stanford RegLab |
April 2024 |
Invited talk |
On the Societal Impact of Open Foundation Models |
Mechanism Design For Social Good Speaker Series |
April 2024 |
Invited talk |
On the Societal Impact of Open Foundation Models |
World Innovation, Technology and Services Alliance |
March 2024 |
Podcast |
Assessing the risks of open
models |
This Week in Machine Learning |
March 2024 |
Podcast |
On
the Societal Impact of Open Foundation Models |
Tech Policy Press |
March 2024 |
Podcast |
On the Societal Impact of Open Foundation Models |
Safe Mode |
March 2024 |
Invited talk |
Intro to AI/ML for Regulators |
Consumer Finance Protection Bureau |
March 2024 |
Invited talk |
On the Societal Impact of Open Foundation Models |
Princeton Alignment Reading Group |
February 2024 |
Guest lecture |
Against Predictive Optimization |
Cornell University |
February 2024 |
Invited talk |
Understanding AI Hype |
Symphony AI |
February 2024 |
Invited talk |
Against Predictive Optimization |
Stanford University Fairness Lunch Speaker Series |
February 2024 |
Panel |
On the Societal Impact of Open Foundation Models |
Stanford Workshop on Governance of Open Foundation Models |
February 2024 |
Invited talk |
How to Prepare for the Deluge of Generative AI on Social Media |
Federal Trade Commission |
December 2023 |
Panel |
Launch
of NTIA’s Public Consultation Process on Widely Available AI Foundation Model
Weights
|
Center for Democracy and Technology |
December 2023 |
Panel |
Data
Governance in the Age of AI |
Washington D.C. |
December 2023 |
Panel |
National
Association of Attorneys General |
Washington D.C. |
November 2023 |
Invited talk |
AI and its hazards for science
|
ScienceWriters Conference, University of Colorado, Boulder |
October 2023 |
Invited talk |
How
to detect AI hype |
Princeton University Press |
October 2023 |
Panel |
Tigers
on Strike |
Princeton University |
September 2023 |
Invited talk |
Improving
Reproducibility, Trustworthiness and Fairness in Machine Learning |
ICIAM Minisymposium, Tokyo |
August 2023 |
Panel |
Investigating algorithmic harm: Best
practices and hard-learned lessons |
Investigative Reporters and Editors, Orlando |
June 2023 |
Paper talk |
Against Predictive
Optimization |
ACM FAccT, Chicago |
June 2023 |
Invited talk |
CITP
Digital Investigators Conference |
Princeton University |
May 2023 |
Invited talk |
Critical voices on AI |
Birkbeck Institute of Data Analytics |
May 2023 |
Invited talk |
Co-opting AI: Language
|
New York University |
April 2023 |
Panel |
Royal Society, UK Reproducibility Network (UKRN) |
|
April 2023 |
Panel |
Data (Re)Makes the
World |
Yale Law School |
April 2023 |
Invited talk |
Yale
Quantum Institute |
Yale University |
March 2023 |
Keynote |
AI
for Libraries, Archives, and Museums |
|
November 2022 |
Invited talk |
Institute
of Data Science and Artificial Intelligence seminar |
University of Exeter |
November 2022 |
Invited talk |
Data Science Institute seminar
|
Lawrence Livermore National Lab |
October 2022 |
Invited talk |
5th Annual conference of the Massive
Analysis and Quality Control Society |
FDA headquarters |
September 2022 |
Opening talk |
Workshop on The
Reproducibility Crisis in ML-based Science |
Princeton University |
July 2022 |