AI Symposium on Design and Governance

 

January 23, 2024 | 8 a.m.–4 p.m.
University of Maryland, Edward St. John Learning and Teaching Center
4131 Campus Drive, College Park, MD 20742

Join the University of Maryland's Robert H. Smith School of Business as we welcome thought leaders, preeminent researchers, and industry executives to explore the opportunities AI presents to business, government and society. Through a series of talks, panel discussions, and Q & A sessions we will explore the high-stakes decisions and questions necessary to creating and implementing AI solutions for the real world.

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Featured Speakers

Aneesh Chopra

Co-founder and president, CareJourney; former CTO, U.S. Government

Nicol Turner Lee

Senior fellow, Brookings Institution

Yin Luo

Vice Chairman of Quantitative Research, Economics and Strategy, Wolfe Research

Hari Balakrishnan

Professor, MIT; co-founder, Cambridge Mobile Telematics; 2023 Marconi Prize Winner

Nazneen Rajani

Head of Research, Hugging Face; Founder & CEO, Stealth

Mark S. Urbanczyk

Principal, AI & data practice, Deloitte

Andrew Chin

Head of investment solutions, Alliance Bernstein

Agenda

7:50-8:30 a.m.Registration and Continental Breakfast
8:35-8:50 a.m.Welcome Remarks, Provost Jennifer King Rice, Dean Prabhudev Konana
Introduction, Balaji Padmanabhan
8:50-9:20 a.m.Systematic Thematic Investing with Finance Specific Large Language Models, Yin Luo, vice chairman of quantitative research, economics and strategy, Wolfe Research
9:25-9:55 a.m.Better Together: The Case for Greater Public/Private Collaboration to Unlock Responsible AI in Regulated Markets, Aneesh Chopra, co-founder and president, CareJourney; former Chief Technology Officer, U.S. Government
10:00-10:30 a.mAI Alignment & Governance, Nazneen Rajani, head of research, Hugging Face; founder & CEO, Stealth
10:30-11:00 a.mBreak 
11:00-11:30 a.m.AI in Financial Services: Buy-Side Perspectives, Andrew Chin, head of investment solutions, Alliance Bernstein
11:30 a.m-NoonAI & Government Services, Mark S. Urbanczyk, principal, AI & data practice, Deloitte
Noon-1:00 p.m.Lunch
1:00-1:30 p.m.Modeling & Lowering the Risk of Road Crashes, Hari Balakrishnan, professor, MIT; co-founder, Cambridge Mobile Telematics; 2023 Marconi Prize winner
2:00-2:45 p.m. Speaker Panel Discussion, keynote speakers will address audience questions
2:45-3:10 p.m.Break
3:10-3:50 p.m.Academic Panel Discussion, Smith School Faculty, moderated by Balaji Padmanabhan
3:50-4:00 p.m.Closing Remarks, Balaji Padmanabhan

Smith Expertise 

The Smith School has a deep bench when it comes to AI. Read on for faculty insights and impacts on subjects from accounting practices, facial recognition, pricing - even baseball. 

Smith Secures $150K for AI Initiative for Capital Market Research

UMD Smith and Deloitte Launch Initiative to Expand AI Study and Outreach Opportunities

Smith School Research Helps Minor League Baseball Players Swing for the Fences

AI-Powered Pricing: Does It Make the Buying Experience More Fair and Equitable?

Design AI Poses a Threat to Human Designers’ Jobs

Is Race a Factor in Facial Recognition Tech?

A Look Into the Future of Business Operations

Will Robots Replace Accounting Jobs?

In Accounting Research, a Move Toward the Inductive?

The Feeling Economy: How AI is Creating the Era of Empathy

Smith Experts Assess Artificial Intelligence, Weigh in on the Biden Executive Order

New Faculty Hire Brings Expertise in Contextual AI to Bolster MS and MBA Programs

Utilizing Data-Driven Approaches in Business

Research Abstracts

AI Integration in Expert Decision-Making: Analyzing Patient Feedback for Pharmaceutical Adverse Event Detection

Xiaojia Guo, Assistant Professor, Decision, Operations & Information Technologies

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The Caring Machine: Feeling AI for Customer Care

Roland Rust, Distinguished University Professor, David Bruce Smith Chair in Marketing, Executive Director, Center for Excellence in Service

Ming-Hui Huang, Distinguished Professor, Department of Information Management, College of Management, National Taiwan University.

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Deciphering Customer Interactions with Voice Assistants Using LLMs

Wendy Moe, Dean's Professor of Marketing, Artificial Intelligence and User Engagement Marketing

Liye Ma, Associate Professor, Marketing 

Ming-Hui Huang,  Distinguished Professor, Department of Information Management, College of Management, National Taiwan University.

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Machine Learning and AI in Marketing- Connecting Computing Power to Human Insights

Liye Ma, Associate Professor, Marketing

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Artificial Intelligence, Firm Growth, and Product Innovation

Alex He, Assistant Professor, Finance

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How Do Human Mental Health Care Providers React to Their AI Counterparts? A Study of an Online Counseling Forum

Jui Ramaprasad, Associate Professor, ADVANCE Professor, Decision Operations and Information Technologies

Lauren Rhue, Assistant Professor, Information Systems, Decision, Operations and Information Technologies

Gujie Li, Smith PhD Candidate in Information Systems

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AI Impact

Tejwansh Anand, Clinical Professor, Decision, Operations and Information Technologies, Academic Director for MS in Information Systems, Director Blockchain Business Imperative and Blockchain Business Accelerator

Bertrand Stoffel, Visiting Research Scholar

Sanjay Chawla

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Collective Intelligence of Human-AI Groups in Solving Tasks of Varying Complexity

Eaman Jahani, Assistant Professor, Decision, Operations and Information Technologies

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Optimal Data-Driven Hiring With Equity for Underrepresented Groups

Ilya Rhyzhov, Area Chair, Decision, Operations and Information Technologies, Professor of Management Science and Operations Management

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From Man vs. Machine to Man + Machine: The Art and AI of Stock Analyses

Sean Cao, Director and Co-founder of the AI Initiative for Capital Market Research, Associate Professor, Accounting and Information Assurance

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How To Talk When a Machine is Listening: Corporate Disclosure in the Age of AI

Sean Cao, Director and Co-founder of the AI Initiative for Capital Market Research, Associate Professor, Accounting and Information Assurance

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The Regulation of Artificial Intelligence Using Virtue Ethics

Anand Anandalingam, Ralph J. Tyser Professor of Management Science, Decision, Operations and Information Technologies

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Risk Sensitive Reinforcement Learning via Policy Gradient Search

Michael Fu, Smith Chair of Managment Science, Decision, Operations and Information Technologies

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UMD-LinkUp AI Maps

Anil K. Gupta, Michael D. Dingman Chair in Strategy and Entrepreneurship, Center for Global Business, Dingman Center for Entrepreneurship, Management and Organization

Kunpeng Zhang, Associate Professor, Decision, Operations and Information Technologies

Siva Viswanathan, Dean's Professor of Information Systems, Decision, Operations and Information Technologies

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Constructing and Reconstructing the Historical Collective Memory of Armed Conflict in Colombia Using Emerging AI Technologies

Margret V. Bjarnadottir, Associate Professor, Decision, Operations, and Information Technologies

David Anderson, Assistant Professor of Analytics, Villanova University

Galia Benitez, Associate Professor of International Relations, Michigan State University

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From Artificial Intelligence to Augmented Intelligence

Balaji Padmanabhan, Professor, Decision, Operations and Information Technologies

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Survey Study of Artificial Intelligence Use and Regulation

Kislaya Prasad, Research Professor, Decision, Operations and Information Technologies and Director, Center for Global Business

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Please Take a Second Look: Improving Labeling Quality of For Toxic Content Using Nudges

Il-Horn Hann, Professor of Information Systems, Co-director Center for Digital Innovation, Technology and Strategy

Jessica Clark, Assistant Professor of Information Systems, Decision, Operations and Information Technologies

Jui Ramaprasad, Associate Professor, ADVANCE Professor, Decision, Operations and Information Technologies

Sung Hyun Kwon, Smith PhD Candidate in Information Systems

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Using Representation Learning and Web Text to Understand Competitor Networks

Louiqa Raschid, Dean's Professor of Information Systems, Decision, Operations and Information Technologies

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Spillover Effects of Generative AI on Organic Content Creation: An Empirical Investigation

Wen Wang, Assistant Professor, Decision, Operations and Information Technologies

Siva Viswanathan, Dean's Professor of Information Systems, Decision, Operations and Information Technologies

Weihong Zhao, Smith PhD Candidate in Information Systems

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From Automation to Augmentation: Large Language Models Elevating the Essay Scoring Landscape

Kunpeng Zhang, Associate Professor, Decision, Operations and Information Technologies

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Generative AI and Artists: Consumer Preferences for Style and Fair Compensation

Wen Wang, Assistant Professor, Decision, Operations and Information Technologies

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