Workshop on Navigating the Ethics of Human-AI Collaboration

Logistics

Date: Wednesday, 20 November 2024

Location: Loyola University Chicago, Quinlan School of Business, Wintrust Hall (9th Floor), 16 East Pearson Street, Chicago, IL 60611

Registration: https://forms.gle/VNHnw84aBnxaD3kH9

Zoom Link 

 

The program will take place at Loyola’s Schreiber Center at 16 E. Pearson St., 9th floor (Wintrust Hall). When you enter the building, please check in at the security desk. Then take the elevator up to the 9th floor. Information about discounted parking on Loyola’s Water Tower Campus can be found at the bottom of this page.

Description

The rapid integration of AI systems into various domains of human life has sparked both enthusiasm and concern. While some envision unprecedented productivity gains, economic growth, and improved healthcare access, others worry about unfair discrimination, workforce displacement, and threats to human autonomy. Treating AI as a tool for augmenting human capabilities rather than replacing them, could reap the benefits of AI while preserving human agency and values. AI Agents (i.e., AI systems that can pursue complex goals with limited direct supervision) hold great promises for the augmentation of human capabilities. However, the emergence of more sophisticated and capable AI agents, which may play increasingly large roles in human lives, raises new questions about the nature of this augmentation and the evolving relationship between humans and AI. 

 

Agenda and Speakers:

8:00 AM 9:00 AM Breakfast and Registration    
9:00 AM 9:15 AM Welcome    
9:15 AM 9:30 AM Conference Intro. Diana Acosta Navas Assistant Professor of Business Ethics, Loyola University Chicago
9:30 AM 10:15 AM Keynote Presentation Jessica Hullman Ginni Rometty Professor of Computer Science and Faculty Fellow, The Institute for Policy Research, Northwestern University
10:15 AM 10:30 AM Coffee Break    
10:30 AM 12:00 PM Panel- AI Agents in Business Diana Acosta Navas Assistant Professor of Business Ethics, Loyola University Chicago
      Irena Cronin Co-Founder & SVP, Product, DADOS Technology and Founder & CEO, Infinite Retina
      Lionel P. Robert, Jr. Professor, School of Information and College of Engineering, Robotics Department, University of Michigan
      Hatim Rahman Associate Professor of Management and Organizations,  Northwestern University
12:00 PM 1:00 PM Lunch    
1:00 PM 1:30 PM Developing Novel Paradigms of Human-AI Interaction Chenhao Tan Assistant Professor of Computer Science and Data Science, and Director of the Chicago Human+AI Lab, University of Chicago
1:30 PM 3:00 PM Panel- AI Agents in Medicine Abel N Kho Founding Director, Institute for Artificial Intelligence in Medicine, and Professor Of Medicine, Northwestern University
      Michael McCarthy Associate Professor and Graduate Program Director, Healthcare Mission Leadership, Neiswanger Institute for Bioethics, Loyola University Chicago
      Claire Boone Assistant Professor, Dept. of Equity, Ethics and Policy, McGill University
      Pat Pataranutaporn Co-Director, MIT Advancing Human-AI Interaction Research Program
3:00 PM  3:15 PM Coffee Break    
3:15 PM 4:45 PM Panel- AI Agents in Law and Philosophy Daniel Linna Senior Lecturer and Director, Law and Technology Initiatives, Northwestern University
      Matthew Dunch Assistant Professor of Philosophy, Loyola University Chicago
      Jeffrey R. Tharsen Associate Technology Director for Digital Studies and Lecturer, Humanities Division, The University of Chicago
4:45 PM 5:00 PM  Closing Remarks    
 
 

Abstracts: 

Jessica Hullman
Title: Opening the Human Blackbox in AI-Assisted Decisions
Abstract: As organizations scramble to deploy AI models to improve decision-making in critical domains like medicine and law, how to evaluate pairings of humans and AI models is a pressing question. A goal is often human-AI complementarity, where the two agents working together outperform either alone. However, it often remains unclear in deploying models in practice what the AI contributes to a decision process, how this differs from what the human contributes, and how we know when the pair is performing well. I will present recent work toward developing theoretically motivated tools for better understanding and designing for human-AI complementation.
 
Chenhao Tan
Title: What we want agents to do and what agents need to learn
Abstract: I would like to learn from the audience their vision of agents. One concrete argument I will make is that human preferences are insufficient to complement human intelligence. I will demonstrate the key role of human goals with hypothesis generation. Hypothesis generation is critical for scientific discoveries. Instead of removing hallucinations, I will leverage data and labels as a guide to lead hallucinations toward effective hypotheses.

 

Organizers: Steven Keith Platt (LUC) and Diana Acosta Navas (LUC)

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