Opening Session and Keynote

Prof. Joanna J. Bryson, PhD, Professor of Ethics and Technology, Hertie School of Governance, Berlin

About the speaker: Prof. Joanna Bryson is a transdisciplinary researcher and expert on intelligence, its nature and its consequences. Her studies on the structure and dynamics of human- and animal-like intelligence range from systems engineering of artificial intelligence through autonomy, cognition, robot ethics and human cooperation, on to technology policy. With degrees in social and computer sciences from Chicago, Edinburgh and MIT, her scientific research appears in venues from Reddit to Science, and her policy voice is heard in the UN, EU, CoE, OSCE and OECD.  

Dr. Bryson advises governments, corporations, and other agencies globally, particularly on AI policy, and is presently Professor of Ethics and Technology at Hertie School of Governance, Berlin, where she cofounded the Centre for Digital Governance. Since June 2020 she has served as one of nine German-nominated experts on the Global Partnership for AI, where she co-chairs the AI Governance committee. Her present research focuses are the impacts of technology on human societies, and improving models of governance for AI and digital technology. 

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Lunch and Poster Judging

Session 2: AI and Healthcare

How AI and predictive models can be actionable in a clinical setting

Speakers:

Jeff Caterino, MD Attending Physician, Emergency and Internal Medicine, Wexner Medical Center	Courtney Hebert, MD Assistant Professor, Biomedical Informatics, OSU College of Medicine
Lang Li, PhD Professor and Chair, Biomedical Informatics, OSU College of Medicine	Xia Ning, PhD (TDAI Core Faculty) Assistant Professor, Biomedical Informatics, OSU College of Medicine, and Computer Science and Engineering, OSU College of Engineering
Ping Zhang, PhD (TDAI Core Faculty) Assistant Professor, Biomedical Informatics, OSU College of Medicine, and Computer Science and Engineering, OSU College of Engineering

Organizing Committee: Courtney Hebert, Lang Li, Xia Ning, Laura Pomeroy

Student Poster Awards and Networking Reception

Session #4: Smart Mobility

Panel Discussion Topic: Smart Mobility: Social and Environmental Sustainability

About the Session: The organizing committee wishes to host a panel to discuss the ways in which current developments in smart cities and shared, automated, and eventually autonomous mobility solutions promote social and environmental sustainability as well as the risks associated with these technologies. The committee’s guiding thinking includes questions such as:

• What developments do you foresee without policy adjustments?
• What can or should be changed from a policy perspective?
• What moral or ethical considerations should guide interventions?

Panelists:

Chris Atkinson, PhD Professor, Mechanical and Aerospace Engineering, OSU College of Engineering	Fredrick P. Salvucci Senior Lecturer, MIT Center for Transportation and Logistics
Shoshanna Saxe, PhD Assistant Professor, Civil and Mineral Engineering, University of Toronto	Vonu Thakuriah, PhD Dean, Rutgers School of Planning and Public Policy; Director, Rutgers Urban and Civic Informatics Lab
Kari Watkins, PhD Associate Professor, School of Civil and Environmental Engineering, Georgia Tech

Organizing Committee: Qadeer Ahmed, Andre Carrel, Harvey Miller, Rabi Mishalani

Session #6: Foundations of Artificial Intelligence and Machine Learning

David Banks, PhD
Professor of the Practice of Statistics, Duke University

Catastrophology:  Forecasting Trends

About the talk: Demography and climate will have major social implications for the world. The problems are already here, but things will significantly worsen by 2050, which is within the lifetime of many in this audience. I shall review the detailed implications of the current trends, discuss mitigation strategies, and end gloomily.

Tatsunori Hashimoto, PhD
Assistant Professor, Stanford University

On the theory of foundation models and their application to privacy-preserving NLP

About the talk: Large, pre-trained foundation models have transformed NLP with their impressive empirical performance. Despite the clear success of these models, their inductive biases and limits remain poorly understood. In this talk, we shed light on the origins of why masked language models recover linguistic structures such as syntax and demonstrate that these same models can break a 'curse of dimensionality' for differential privacy, leading to a simple and practical approach to privacy-preserving NLP.

Organizing Committee: Sebastian Kurtek, Subhadeep Paul, Yu Su