DePaul Faculty Examine AI's Influence on Education, Healthcare, Business

Published Date : 16/07/2025 

DePaul University faculty from various disciplines are discussing the risks, benefits, and innovations of artificial intelligence (AI) in fields such as education, healthcare, and business. These experts provide valuable insights into how AI is reshaping our world. 

CHICAGO — As artificial intelligence (AI) continues to reshape how we learn, work, and live, DePaul University faculty across multiple disciplines are delving into its multifaceted impact. From software development and healthcare systems to education policy and advertising ethics, these experts offer valuable insights for journalists and the public.

DePaul University, a leading institution in the Midwest, is home to a diverse array of faculty members who are at the forefront of AI research and application. These experts are available to discuss the latest developments and challenges in AI, providing a comprehensive view of its implications.

Education

Associate Professor, Teacher Education

- How AI is used in K–12 and higher education

- Personalized learning and assessment tools

- Legal and ethical challenges of AI in education

- Responsible and equitable integration of AI for special education and counseling

Science, Technology, Software & Security

Assistant Professor, Computing

- AI in software engineering: code generation, refactoring, and maintenance

- Security applications of AI in detecting vulnerabilities

- Ethics of automated coding and human-AI collaboration in programming

Assistant Professor, Computing

- Deep learning, neural networks, and transformer models

- Large language models (GPT, BERT) and inference techniques

- AI in drug discovery and biomedical applications

- Theoretical AI foundations and optimization methods

Professor, Physics and Astrophysics

- Using AI to design scientific experiments

- Predictive modeling in physics and engineering

- AI applications in building electrical, mechanical, and optical systems

Professor, Computer Science

- Chair, AI Program

- Director, AI Institute

- Director, Center for Web Intelligence

- Generative AI and recommender systems

- Personalization algorithms and machine learning ethics

- Risks, regulation, and future directions in AI development

- Academic leadership in AI education and policy

Assistant Professor, Computing

- How AI affects human connection, media, and self-perception

- Cognition-aware technology and creative uses of generative AI

- AI in wearable tech and edge computing

- Cultural implications of human-AI interaction

Healthcare & Health Care Informatics

Assistant Professor, Management and Entrepreneurship

- AI-powered optimization in healthcare logistics, pharmacy operations, and patient scheduling

- Public health and AI-driven service design

- Predictive modeling for patient satisfaction, access, and equity in healthcare delivery

- AI for sustainable operations and data-informed supply chain decisions

Assistant Professor, Computing

- Chair, Master’s in Health Informatics Program

- Robotics and conversational agents in healthcare

- AI adoption for elder care and wearable health tech

- Trust, energy use, and bias in AI systems

- Effect of AI on scientific reproducibility and health outcomes

Assistant Professor, Computer Science

- Human-centered and responsible AI in medicine

- Healthcare applications of machine learning

- Human-in-the-loop and expert co-design in predictive modeling

- Reducing bias in AI to better serve at-risk populations

Business, Marketing, Advertising & Consumer Tech

Associate Professor, Finance and Real Estate

- AI’s effect on financial services and business strategy

- Ethics and transparency in AI decision-making

- AI and emerging technologies for economic equity (e.g., for migrant populations)

- Data analytics, cryptocurrency, and business innovation

Assistant Professor, Public Relations and Advertising

- AI personalization and automation in marketing

- Risks and ethics in AI-powered advertising targeting

- Generative AI for brand content and social media

- Consumer reactions and biometric applications (e.g., eye-tracking, facial recognition)

Associate Professor, Marketing

- Director, Full-Time MBA Program

- Psychological effect of AI on consumers and workers

- Generative AI in business and education

- Human-AI relationships and perception biases

- How AI affects workplace behavior and personal interactions

Law, Policy & Regulation

Raymond P. Niro Professor, Intellectual Property Law

- AI inventorship and intellectual property law

- Copyright, trade secrets, and data usage in LLMs

- Legal ethics and AI in law school and practice

- Broader societal and governmental implications of AI adoption

To request an interview, contact the expert directly or email newsroom@depaul.edu for assistance.

Boilerplate

DePaul University, founded in 1898, is a private, coeducational institution located in Chicago, Illinois. It is the largest Catholic university in the United States and is known for its commitment to social justice and community engagement. DePaul offers a wide range of undergraduate and graduate programs, including those in the fields of communication, education, law, science, business, and computing. 

Frequently Asked Questions (FAQS): 

Q: What are some key areas where DePaul University faculty are researching AI?

A: DePaul University faculty are researching AI in areas such as education, healthcare, business, and technology. They are exploring topics like personalized learning, AI in drug discovery, and ethical considerations in AI decision-making.

Q: How is AI being used in K-12 and higher education?

A: AI is being used in K-12 and higher education to create personalized learning experiences, develop assessment tools, and address legal and ethical challenges. It also helps in the responsible and equitable integration of AI for special education and counseling.

Q: What are some ethical considerations in AI development and application?

A: Ethical considerations in AI development and application include issues of privacy, bias, transparency, and accountability. Experts at DePaul University are studying how to ensure AI systems are fair, transparent, and beneficial to all users.

Q: How is AI impacting healthcare logistics and patient care?

A: AI is optimizing healthcare logistics, improving patient scheduling, and enhancing public health through AI-driven service design. It also helps in predictive modeling for patient satisfaction and equity in healthcare delivery.

Q: What role does AI play in financial services and business strategy?

A: AI is transforming financial services and business strategy by enabling data analytics, improving decision-making, and promoting economic equity. It also plays a crucial role in emerging technologies like cryptocurrency and business innovation. 

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