Stanford University

Stanford Department of Medicine is an academic department within the Stanford School of Medicine dedicated to advancing patient care, education, and research across internal medicine and its subspecialties. We provide high‑quality patient care, train doctors and scientists, and do research to prevent illness, improve diagnosis and treatment, and help people live healthier lives. We serve diverse communities and work to make health care better for today and tomorrow.

Your browser does not support the video tag. Date Wednesday, October 07, 2026 12:00 PM - 1:15 PM Location 353 Jane Stanford Way, Stanford, CA, 94305 | Room 119 Event Contact Stanford HAI This seminar pairs a case study of AI diffusion with an organizational approach to technological changes in the workplace. Seminar Sep 23, 202612:00 PM - 1:15 PM This seminar pairs a case study of AI diffusion with an organizational approach to technological changes in the workplace. Save the Date.

Your browser does not support the video tag. Date Wednesday, September 23, 2026 12:00 PM - 1:15 PM Location 353 Jane Stanford Way, Stanford, CA, 94305 | Room 119 This seminar pairs a case study of AI diffusion with an organizational approach to technological changes in the workplace. Event Contact Stanford HAI This talk will cover key insights from the third report, released in October 2026.

We analyze acquisitions in US power plants by using rich data on hourly productivity and thousands of ownership changes. We find a 2% average increase in efficiency for acquired plants, beginning 5 months after acquisition. Efficiency gains rise to 5% under direct ownership changes, with no significant change when only parent ownership changes.

Your browser does not support the video tag. Date Wednesday, December 09, 2026 12:00 PM - 1:15 PM Location 353 Jane Stanford Way, Stanford, CA, 94305 | Room 119 Please join us for an illuminating investigation of the complex work of social media content creators—their lives, conflicts, and controversies. Event Contact Stanford HAI Save the Date. Artificial intelligence is transforming how researchers collect, analyze, and learn from data.

Your browser does not support the video tag. Date Wednesday, November 18, 2026 12:00 PM - 1:15 PM Location 353 Jane Stanford Way, Stanford, CA, 94305 | Room 119 Topics This talk will cover key insights from the third report, released in October 2026. Event Contact Stanford HAI Save the Date. Artificial intelligence is transforming how researchers collect, analyze, and learn from data.

The proposed Meta settlement, filed on August 26, 2026 and subject to court approval, adds an important element to the argument I made in Designed to Cross: Why Nippon Life v. OpenAI Is a Product Liability Case and then developed in Architectural Negligence: What the Meta Verdicts Mean for OpenAI in the Nippon Life Case. It provides a concrete example of how regulators may translate legal obligations into technical controls and how those controls could inform an architectural-liability analysis.

Event Details: About the event: This talk will discuss recent advancements in AI for biology, and relevant security and oversight considerations. It will also discuss how policy can be used to incentivize and shape technology development for defensive purposes, clarifying how the colloquial "defensive acceleration" or d/acc concept in AI circles relates to formal offense-defense balance concepts.

If this approach is successful, Wang imagines using the model to do things such as predict a team’s performance – anticipating where a bottleneck might occur, for example – or simulate a virtual replica of an organization so researchers can test how changes in structure or workflow might play out before they’re made in the real world.

Significance Economic inequality continues to widen in the United States and globally, yet the organizational processes that reproduce social stratification remain insufficiently understood. This research identifies negotiation propensity as a key behavioral pathway that exacerbates class disparities: lower-class individuals are less likely to initiate negotiations, a pattern associated with persistent inequalities in pay and advancement.