Publications

• The growing influence of industry in AI research [PDF] (with N Thompson, M Wahed). Science. 2023

  • Selected media coverage: Financial Times, Venturebeat, Le Monde, The Atlantic

• What should be done about the growing influence of industry in AI research? (with N Thompson). Brookings Report. 2023

  • Most visited publication from October-December, 2023

Under Review

• [Scientists & Appropriation Strategy in AI]

• [Digital value capture around a policy shock] (with M Joshi,  JP Vergne & N Su)

   (R&R). We use a regression discontinuity design to document which organizations captured more digital value from a major policy shock. 

• [Regulation, Innovation and Entrepreneurship] (with Jake Grandy, Shon Hiatt, S Park)

 (under review, ASQ )

• [Strategic human capital & AI] (with Nan Jia)

Working Papers 

• Complementary Assets Enhancing Technological Discontinuity: How the Rise of Deep Learning De-democratized Artificial Intelligence Research (with M Wahed) [PDF]

        (Target: Management Science). We use synthetic control method and NLP methods to showcase how deep learning was a specific technological disconinuity, which in turn, changed the competitive dynamics in the research field.

Media coverage:   VentureBeat, Scientific American, Axios, Marginal Revolution, The National Security Commission on Artificial Intelligence and Stanford AI Index (2021). 

• The Narrow Depth and Breadth of Corporate Responsible AI Research [PDF]  (with Kirsten Martin, Amit Das, Kawshik Banerjee)

  • Media: Nature news, Nature Index 

• Corporate Scientific Research in Responsible AI: Evidence from the GDPR  (with Francisco Polidoro Jr.)

We use diff-in-diff to show that political capabilities play an important role in firms' decision to engage in responsible AI research.

Work in Progress

• Technological Discontinuities and R&D Collaboration Strategies: How Deep Learning Changed Firm-level Collaboration Strategies in Artificial Intelligence