The Digital Trade and Data Governance Hub

A Primer on the Continuum of AI: From Closed to Open Source

On September 11th, the Digital Trade and Data Governance Hub hosted a briefing with Congressional staff on one of the most important debates in AI policy: open and closed-source AI.

Webinar 52: AI as Governance

Wednesday, September 17 at 10:00AM EST

Taking the Wrong Lesson from China’s AI Strategy

The United States is mimicking China’s approach to centralized data, risking privacy, security and democratic accountability in the name of AI leadership.

Podcast Overview: Trump’s "One Big Beautiful Dataset"

The Hub has created a podcast-style summary revisiting the Trump Administration’s efforts to centralize federal data on Americans—and the possible role of Palantir in that vision.

This content was developed with assistance from Google’s NotebookLM. This overview was AI-generated and human-reviewed and edited by the Hub.

‘Semiconductors, AI & Space: New frontiers of dominance’

Dr. Susan Ariel Aaronson speaking at the ‘Semiconductors, AI & Space: New frontiers of dominance’ Webinar hosted by The Democracy Forum.

The Impact of Tariffs on AI and AI Development

Dr. Susan Ariel Aaronson on the impact tariffs would have on AI and AI Development

TrailsCon 2025: "AI at Work: Building and Evaluating Trust

Monday, February 3, and Tuesday, February 4 at 9:00am EST

Literature Guide to Trump-Era Policies and DOGE's Impact on Personal and Public Data

The Digital Trade and Data Governance Hub curates the latest literature on the challenges posed to personal and public data by the Trump Administration and the Department of Government Efficiency (DOGE). The Hub tracks the evolving government policies on data access and regulation that directly influence innovation and market competition in the AI space. By consolidating the latest news, research, and policy analyses, we provide our audience with a timely resource to understand how these shifts are reshaping the digital ecosystem.

Led by Michael Moreno and Dr. Susan Aaronson

Federal Data Is Disappearing

By Shifra Dayak and Anna Kramer (February 2, 2026)

Why the Trump administration keeps asking for Minnesota’s welfare data

By Eva Hercowitz (February 2, 2026)

Trump Quest for Voter Data Spurs Lawsuits, a Raid and Jail Risk

By Chris Strohm aand Jimmy Jenkins (February 1, 2026)

Kris Kobach asks lawmakers to force Laura Kelly to give feds SNAP data

By Jason Alatidd (February 4, 2026)

 

US pauses data release — and collection — amid shutdown

By Eleanor Mueller (February 3, 2026)

DOGE Social Security Data Breach Puts Retirees at Risk

By Melanie Waddell (Febuary 2, 2026)

How the Shutdown Has Cut Off Key Data Guiding the Fed’s Decisions

By Ellen O’Regan (February 3, 2026)

Homeland Security is trying to force tech companies to hand over data about Trump critics

By Zack Whittaker (February 3, 2025)

 

United States Withdraws from Open Government Partnership

By Open Government Partnership (January 15, 2026)

Federal courts deny Trump request for private voter data in 2 states

By Kevin Hardy (January 15, 2026)

Trump administration concedes DOGE team may have misused Social Security data

By Kyle Cheney (January 20, 2026)

Judge to Trump administration: Hands off Oregon voters’ most private data

By Betsy Hammond (January 29, 2026)

 

Trump’s Data Cuts Could Leave Nonprofits ‘Flying Blind’

By Eden Stiffman (October 17, 2025)

At least 27 states turned over sensitive data about food stamp recipients to USDA

By Jude Joffe-Block (October 16, 2025)

How the Shutdown Has Cut Off Key Data Guiding the Fed’s Decisions

By Jarrell Dillard and Michael Sasso (October 16, 2025)

Higher ed groups blast Trump plan to expand applicant data collection

By Laura Spitalniak (October 16, 2025)

 

What do we do

The Digital Trade & Data Governance Hub provide resources, training, events, and evidence-based research to help stakeholders understand data governance and digital trade.

research

Evidence based Research

Training

seminars

Recent Publications

A Congressional Trade Office could resolve all this tariff confusion

 Susan Ariel Aaronson Congress shares responsibility with the president for trade policy, yet Congress lacks the infrastructure and expertise to set objectives and monitor the administration’s actions. Moreover, because President Trump sees tariffs as his Swiss Army...

Do Chatbot Developers Act Responsibly toward their Users?

 Susan Ariel Aaronson and Michael Moreno Please note this paper is forthcoming, to be published by the Balsillie School in February 2026.  This study evaluates whether leading AI developers—OpenAI, Google, xAI, and DeepSeek—act responsibly toward users when building...

AI and Trade: The WTO’s Thoughtful but Incomplete Assessment

When the World Trade Organization (WTO) decided in 2024 to produce a report on the trade implications of artificial intelligence (AI), it set out to answer two key questions: How can the WTO help ensure that the benefits of AI are widespread? And, how can the...

Public Concerns About AI Are Getting Lost in Translation

Artificial intelligence (AI) is playing an increasingly important role in people’s lives, which has led to growing calls for AI regulation. Although the public has strong opinions on AI, getting policy makers to listen often leads to citizens’ concerns getting “lost...

Do AI Chatbot Firms Practice What They Preach?

This study examines whether leading AI chatbot companies implement the responsible AI principles they publicly advocate. The authors used a mixed-methods approach analyzing four major chatbots (ChatGPT, Gemini, Deep Seek, and Grok) across company websites, technical...

How should we think about data?

We have little information about what data firms collect, how these firms use or sell our data, or how they mix various data types. If we want these markets to operate more equitably and efficiently, policymakers must focus on the governance of data.

Personal Data

e.g. birthdates

 

Proprietary or Confidential Business Data

e.g. payrolls

Public Data

Data in the public domain, census data, scientific data, etc

Metadata

Supposedly anonymized personal data

Machine to Machine Communication

Satellite Data

Wondering who we are?

We are a team with a diverse background in international trade, international affairs, economics, public policy, and communication.

Susan Aaronson

Founder & Director

Michael D. Moreno

Research Associate, AI and Data Governance