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Ethics and Tech Conference 2024

Join Seattle University and key thought leaders from across the country to discuss the ethical challenges and benefits that are ahead of us as businesses and researchers race to harness the powers of AI in the field of healthcare.

Event Information

A photograph of the Ethics and Tech Conference 2023


Featured Event
  • June 27, 2024 - June 27, 2024
  • 9:00am - 5:00pm
  • Seattle University, 901 12th Avenue Seattle, WA 98122

Conference Theme

An abstract boxWhere AI meets humanity in healthcare: What's next?

The tools of artificial intelligence offer the potential for healthcare to become more effective and equitable. But as we race to embrace these advances, are we truly ensuring that we do no harm? Thought leaders from across disciplines will discuss the complex issues that emerge as we harness AI for health. Join us in an important conversation grounded in Seattle University’s Jesuit tradition of facing challenges with reflection and contemplation.

Meet the Speakers

A photograph of Christof Koch

Christof Koch

Christof Koch, President, Chief Scientific Officer and Meritorious Investigator at the Allen Institute for Brain Science, whose writings and investigations integrate theoretical, computational and experimental neuroscience with philosophy and contemporary trends, in particular artificial intelligence. He is known for believing that the mechanisms behind consciousness will be able to be scientifically explained using currently-available tools of neurobiology, among other theories about the nature of consciousness in the context of networked complexity.

A photograph of Vin Gupta

Vin Gupta

Vin Gupta, Critical Care Pulmonologist, Virginia Mason; Chief Medical Officer in Pharmacy, Amazon; Affiliate Assistant Professor, Institute of Health Metrics, University of Washington; and Critical Care Air Transport Physician and Major in the United States Air Force Reserve Medical Corps Sciences, has a multi-faceted perspective on global public health care and critical care response. His systems-oriented experiences give him an interesting perspective on the potential applications of AI in healthcare.

A photograph of Blythe Adamson

Blythe Adamson

Blythe Adamson, Head of Outcomes Research at Flatiron; Founder, Infectious Economics; and Affiliate Professor, UW is a scientist, epidemiologist and health economist using AI to compare drug and policy effectiveness with the goal of accelerating research and improving patient outcomes. Her team has pioneered deep learning language models for data extraction, and she served as lead data scientist in the West Wing of The White House and advised public and private institutions on disease prevention.

A photograph of Ty Kayam

Ty Kayam

Ty Kayam, Principal Corporate Counsel for Health and Life Sciences, Microsoft; Adjunct Professor of Law, Seattle University, advises product, engineering and data science teams on legal issues related to the development of AI and other emerging technologies for the health and life sciences industries. She currently holds leadership positions on the Health Information Technology committee of the American Health Law Association and the eHealth, Privacy, and Security group of the American Bar Association.

A photograph of Mjaye Leslie Mazwi

Mjaye Mazwi

Mjaye Mazwi, Co-Director, Heart Center, Division Head, Cardiac Critical Care Medicine and Professor of Pediatrics at Seattle Children’s Hospital, uses machine learning to computationally model high resolution patient phenotypes and state-based characterizations for critically ill pediatric patients. His work in AI is intimately connected to his patient care.

A photograph of Oliver Bear Don’t Walk

Oliver Bear Don't Walk

Oliver Bear Don’t Walk is a postdoctoral fellow at UW Medicine’s Biomedical Informatics and Medical Education department. A citizen of the Apsáalooke nation, his research is at the intersection of natural language processing and ethics, including fairness audits, deepening understandings of cultural variation among social determinants of health and finding ways to use electronic health records that speak to the needs and communication styles of specific populations, including Indigenous communities. He is a co-chair for the American Medical Informatics Association’s DEI Committee and a co-founder of the Native Biodata Consortium’s annual educational workshop, Indigidata.

A photograph of Jay Nanduri

Jay Nanduri

Jay Nanduri is the CTO and Co-Founder of Truveta.

20+ years as a Microsoft Technical Fellow with over 25 patents.

A prior Microsoft Technical Fellow with over 25 patents, Jay Nanduri is committed to structuring health data to better support equitable and innovative healthcare. He strives to use AI creatively to enable Truveta’s large consortium of partners to use data productively.

A photograph of Stephanie Simmons

Stephanie Simmons

Stephanie Simmons draws on her background in law, regulatory compliance, ethical thought and technology as she considers the implications of a robust innovation pipeline merging tech, products, research and design in the fields of health and life sciences. Her group pursues interdisciplinary collaborations that drive real-world impact.

A photograph of Alex London

Alex London

Alex John London, K&L Gates Professor of Ethics and Computational Technologies, Carnegie Mellon University

An elected fellow of the Hastings Center, Alex John London is co-lead of the K&L Gates Initiative in Ethics and Computational Technologies, Director of the Center for Ethics and Policy, and Chief Ethicist at the Block Center for Technology and Society, all at Carnegie Mellon University. He is also a member of the World Health Organization (WHO) Expert Group on Ethics and Governance of AI among other advisory positions.

Schedule of Events

9:00 a.m. | Campion Ballroom

10:00 a.m. | Campion Ballroom

Session 1: Ethics in Context
10:15 a.m. 

Session 2: Neuroscience
10:40 a.m

11:00 a.m. | Conversation with College of Nursing Dean

11:15 a.m. | Ethics Prize Presentation

Session 3: Using AI in Clinical Research 
11:20 a.m.
| Lightning Talks

11:45 a.m. | Roundtable Discussion

12:05 p.m. | Lunch

Session 4: Ethical Framework
1:30 p.m.

Session 5: Big data: Programming machine learning to harness AI for health records & secondary healthcare research 
2:00 p.m. | Roundtable Discussion

2:50 p.m. | Break

Session 6: Balancing the speed of business and clinical research with the time requirements for ethical reflection 

3:10 p.m. | Roundtable Discussion 

3:55 p.m. | Open floor Q&A

4:40 p.m. | Closing Remarks