September 8

AI Ethics Workshop

September 8 & 9, 2021
Virtual Workshop via Zoom

The AI Ethics Workshop is designed to bring together faculty, researchers, members and contributors that are affiliated with member interests and with mediaX at Stanford University. Having an activate dialogue with Stanford labs in studying issues at the intersection of information technologies and human sciences is critical to the creation of a vision for looking at AI Ethics, including but not limited to “Bi-directional Characteristics of ‘AI Accountability’” and “Harassment in the Digital World”.

mediaX Workshops allow member companies to meet and talk with Stanford thought leaders and other mediaX member organizations about novel research and industry challenging questions. The combination of the Silicon Valley entrepreneurial culture, actively engaged industry partners, Stanford thought leadership, and breakout discussion groups, infuses the mediaX collaborative discovery process with unique possibilities.


James Zou is an Assistant Professor of Biomedical Data Science and, by courtesy, of Computer Science and Electrical Engineering at Stanford University. He works on making machine learning more reliable, human-compatible and statistically rigorous, and is especially interested in applications in human disease and health. Several of his teams’ algorithms are widely used in tech and biotech industries. He received a Ph.D from Harvard in 2014 and was at one time a member of Microsoft Research, a Gates Scholar at Cambridge and a Simons fellow at U.C. Berkeley. He joined Stanford in 2016 and is excited to be an inaugural Chan-Zuckerberg Investigator and the faculty director of the university-wide AI for Health program. Hi is also a part of the Stanford AI Lab. His research is supported by the Sloan Fellowship, the NSF CAREER Award, and Google, Amazon and Tencent AI awards.

Jeff Hancock

Jeff Hancock is the Harry and Norman Chandler Professor of Communication at Stanford University, Founding Director of the Social Media Lab and Director of the Stanford Center for Computational Social Science. A leading expert in social media behavior and the psychology of online interaction, Professor Hancock studies the impact of social media and technology on well-being, relationships, deception and trust, how we form impressions of others and how we manage others’ impressions of ourselves, and more. His award-winning research has been published in over 100 journal articles and conference proceedings and has been supported by funding from the U.S. National Science Foundation and the U.S. Department of Defense. Professor Hancock’s TED Talk on deception has been seen over 1 million times and his research has been frequently featured in the popular press, including the New York Times, CNN, NPR, CBS and the BBC

Laura Blattner is an Assistant Professor of Finance at the Stanford Graduate School of Business. Laura earned her Ph.D. at Harvard University. She also holds a B.A. in Philosophy, Politics and Economics and an M.Phil. in Economics from Oxford University. At Stanford, Laura teaches an MBA class on Financial Technology (FinTech) as well as a Ph.D. class on empirical corporate finance. Her current research addresses how AI and machine learning can be safely and responsibly deployed in financial services. In particular, Laura's work studies how to ensure that algorithms take fair and explainable credit decisions. Recent projects study (i) how to optimally regulate algorithmic decisions when we are limited in the amount of information we can learn about the black-box prediction model and (ii) the societal costs of commercial credit scores that are less informative default predictors for disadvantaged social groups.

Gen Shinozaki is an Associate Professor of Psychiatry and Behavioral Sciences (Medical Psychiatry). The Shinozaki Laboratory studies the molecular influence of environmental factors such as trauma, stress, and inflammation on individual susceptibility to psychiatric conditions including major depressive disorder (MDD), post-traumatic stress disorder (PTSD), and delirium using epigenetic/genetic approaches as well as a medical engineering approach through device development and machine learning. The main focus of the Shinozaki Lab has been to examine epigenetic changes resulting from exposure to stress such as trauma or inflammation to aid in the search of biomarkers of stress exposure and risk for MDD, PTSD, and delirium. Dr. Shinozaki, in collaboration with many colleagues across different fields, successfully developed several ongoing projects in epigenetics/genetics- one in collaboration with neurosurgeons to study DNAm correlation between brain tissue and peripheral tissues, which is supported by NIH R01 funding.

NAKATA Tsuneo is a Senior Expert of the Research Center of AI Ethics, Fujitsu Limited. He navigates the researches of the center by harmonizing social sciences, software engineering and computer science, by leading interdisciplinary collaborations with universities, and by organizing departments of Fujitsu related to AI ethics. He played a central role in creating "AI Commitment", Fujitsu's AI ethics principles issed in 2019. He served as CEO of Fujitsu Laboratories of Europe in 2012-2018, and SVP of Fujitsu Laboratories of America in 2009-2012. He received a Ph. D from University of Tokyo. He is a member of the IEEE and the IPSJ (Information Processing Society of Japan).

Marsali Hancock

Marsali Hancock is the CEO of EP3 Foundation, a neutral nonprofit that unlocks data silos allowing access to data needed while protecting sensitive, personal health information and confidentiality. She also serves as a commissioner for the Global Information Infrastructure Commission, the oldest internet policy organization where she works with nation-state leaders to build robust communication networks companioned with proactive online safety and security initiatives.