Upcoming Events

Twin revolutions at the start of the 21st century are shaking up the very idea of what it means to be human. Computer vision and image recognition are at the heart of the AI revolution. And CRISPR is a powerful new technique for genetic editing that allows humans to intervene in evolution.

Good news! The near future has arrived and you’re ready to purchase your first fully autonomous vehicle. You have narrowed down your search to a few manufacturers and have just one decision left to make: How would you like your vehicle to respond if it finds itself in a potential collision with other autonomous vehicles?

We will describe the Stanford Medicine Program for AI in Healthcare, which aims to bring AI into clinical use, safely and ethically. The session will begin with an overview of the effort and then focus on describing a project to improve palliative care using machine learning. We will summarize the creation and validation of a mortality prediction model, describe the associated care planning workflow it triggers and the work constraints it needs to function under. We will present  preliminary results on an HAI supported project for understanding and addressing ethical challenges with implementation of machine learning to advance palliative care. Using this real-life example, we will elucidate several of the ethical challenges that need to be studied and addressed when combining artificial intelligence technologies with medical expertise to help doctors make faster, more informed and humane decisions. 

In this talk, Pamela Chen, 2020 Human-Centered AI and JSK Journalism Fellow at Stanford, shares her experiences leading an editorial team at Instagram as the company scaled content discovery to serve more than 1 billion monthly active users. Spoiler alert: it doesn’t go as planned. 

This conference is anchored and building on the release of the Special National Academy of Medicine (NAM) publication titled: “Artificial Intelligence in Healthcare: The Hope, The Hype, The Promise, The Peril.” Co-led by Michael Matheny and Sonoo Thadaney Israni.

1. Evaluate AI in the healthcare landscape

2. Critically assess the opportunities for AI in healthcare

3. Develop appropriate criteria for evaluating/deploying AI solutions

4. Build frameworks for creating and testing AI healthcare solutions

The next generation of user experiences will produce 1000-fold improvements in human capabilities.  This new tools will amplify, augment, enhance, and empower people, just as the Web, email, search, navigation, digital photography, and many other applications have already done. Rather than emphasize autonomous machines and humanoid robots as team partners, these new tools will produce comprehensible, predictable, and controllable applications that promote self-efficacy, human responsibility, and social participation at scale.  The goal is to ensure human control, while increasing the level of automation. 

Faculty Leaders: Rob Reich and Seth Lazar

Conversations about ethics and AI are commonplace today, but they are often pitched at a high level of generality or abstraction. In this workshop, we gathered together leading young scholars, chiefly philosophers, to discuss a more detailed research agenda with a particular focus on moral and political philosophy and their intersections with AI.  Topics included AI and explainability, AI and value alignment, governance of AI, and more. 

China’s government and tech industry have great ambitions for artificial intelligence development and leadership, and Chinese society is facing economic, ethical, and regulatory challenges related to AI much like those around the world. At a time when the U.S. and Chinese governments are locked in escalating disputes over technology and trade, understanding Chinese ambitions, realities, and politics surrounding digital technologies is ever more important. Hosted by DigiChina, a project of the Stanford Cyber Policy Center Program on Geopolitics, Technology and Governance and the New America Cybersecurity Initiative.  Speakers include: Shazeda Ahmed, PhD Candidate, UC Berkeley School of Information; Predoctoral Fellow, Stanford Institute for Human-Centered Artificial Intelligence and Center for International Security and CooperationRogier Creemers, Assistant Professor in the Law and Governance of China, University of LeidenAndrew Grotto, William J. Perry International Security Fellow and Director of the Program on Geopolitics, Technology and Governance at the Stanford Cyber Policy Center; Visiting Fellow, Hoover InstitutionSamm Sacks, Cybersecurity Policy and China Digital Economy Fellow, New AmericaKatharin Tai, PhD Student, Political Science, Massachusetts Institute of TechnologyGraham Webster, Coordinating Editor, Stanford-New America DigiChina Project; China Digital Economy Fellow, New AmericaWu Shenkuo, Professor of Law, Beijing Normal UniversityJulia Voo, Research Director, China Cyber Policy Initiative, Harvard Belfer CenterYuan Yang, China Technology Correspondent, Financial Times The organizers are grateful for the support of the Harvard-MIT Ethics and Governance of AI Initiative. Please register at https://www.eventbrite.com/e/ai-and-digital-policy-in-china-tickets-76168400737 *Please park in the Galvez Lot (L-96) in one of the spaces with a HAI Only reserved sign. 

HAI's October 28-29 conference on AI Ethics, Policy, and Governance at Stanford University will convene experts and leaders from academia, industry, civil society, and government to explore critical and emerging issues related to understanding and guiding AI's human and societal impact. Through plenary discussions, breakout sessions, and workshops we will explore the latest research, delve into case studies, illuminate best practices, and build a global community of research, policy, and practice committed to ensuring that AI benefits humanity. 

Faculty Leaders: Jeff Hancock, Angèle Christin, Gaby Harari, and Londa Schiebinger