Who Controls Data in the Age of AI?
Event PAST

Who Controls Data in the Age of AI?

27 February Online

About this event

Who Controls Data in the Age of AI?

​Portability, Platforms, and Power
​Friday, February 27
1:30–5:00 PM
198 McAllister St, San Francisco, CA

​About the Event
​Jointly hosted by DTI, LexLab at UC Law San Francisco, and GitHub, this summit explores how law, platform governance, and artificial intelligence are reshaping who controls data—and how data can move—across the digital ecosystem.

​The afternoon features two panel discussions bringing together scholars, policymakers, and practitioners to examine how portability is implemented on the ground, how platforms and regulation shape real‑world outcomes, and how AI is altering incentives, capabilities, and control over data.

​Panel 1: From Rights to Reality — Governing Data Portability in Practice
​2:00–3:00 PM

​This panel examines how data portability is implemented in real systems and institutions, and how regulatory choices interact with platform design, competition policy, and market incentives. Panelists will explore the gap between formal rights and practical outcomes, and the role platforms play in enabling—or constraining—meaningful user choice.

​Panelists:

  • ​Tom Majoch, Product, Google
  • ​Kaylee Cox‑Bankston, Partner, Morrison Foerster & Adjunct Professor, Georgetown University Law Center
  • ​Isabel Hahn, Policy Officer for AI, EU Delegation to the United States
  • ​Daphne Keller, Director of Platform Regulation, Stanford Law School Program in Law, Science & Technology

​Panel 2: AI, Data, and Control — New Tools, New Risks, New Power Dynamics
​3:30–4:30 PM

​This panel explores how artificial intelligence is reshaping data portability and interoperability from multiple perspectives. Panelists will examine how AI introduces new technical capabilities, alters incentives for platforms and intermediaries, and raises fresh questions about governance, competition, and user autonomy in an increasingly AI‑mediated environment.

​Panelists:

  • ​Tejas Narechania, Professor of Law, UC Berkeley School of Law
  • ​Mike Linksvayer, VP, Developer Policy, GitHub
  • ​Kate Aishton, Founder, Aishton Law, PC
  • ​Chris Riley, Executive Director, Data Transfer Initiative

Want to find AI jobs?

Join thousands of AI professionals finding their next opportunity

We respect your inbox. Unsubscribe at any time.

© 2026 DevFound.ai. All rights reserved.

Common Questions

Frequently asked questions

Quick answers about how DevFound's AI matching, resumes, and referrals work.

DevFound's AI Copilot ingests your profile, goals, and live job data to deliver curated matches in seconds. Every match includes a resume variant, suggested referrals, and interview prep so you can act immediately. The more feedback you provide, the sharper the Copilot becomes.

AI-led job searches shrink the hours spent sifting through boards and formatting resumes. DevFound pairs automation with your personal outreach, so you reserve energy for interviews and negotiation. Traditional networking still matters, but AI gives you a lift before you even send a message.

Modern AI roles expect comfort with production-grade code, data fluency, and practical ML tooling. The strongest candidates pair deep technical chops with storytelling—translating model impact to product, GTM, and exec partners. Continuous learning keeps you ahead as stacks evolve.

DevFound rewards active seekers. Keep your profile fresh, respond to match quality prompts, and enable alerts so you never miss a role. The AI prioritizes companies and teams that align with your feedback, accelerating both introductions and interview invites.

High-density tech hubs continue to host the deepest AI talent pools, yet distributed teams are catching up fast. Use DevFound filters to hone in on onsite, hybrid, or fully remote roles and watch openings expand across time zones.

DevFound aggregates thousands of remote AI openings and flags the nuances—core hours, async culture, and visa needs—up front. The Copilot also recommends how to position your distributed work experience so hiring managers know you can thrive on a remote team.