Daehwan Ahn

College of Family and Consumer Sciences

Financial Planning, Housing and Consumer Economics

Assistant Professor

Education

Degree Field of Study Institution Graduation
PhD Management Information Systems Seoul National University 2018
MS Management Information Systems Seoul National University 2014
BS Architecture, Business Seoul National University 2011

Teaching

  • FHCE 5100/7100: Consumer Policy: AI Ethics and Policy
  • FHCE 4900/6900: Data for Consumer Analytics
  • FHCE 4000/6000: Consumer Analytics: Evidence-Based Strategy

Prior Professional Positions

Organization Title Years of Service
The Wharton School, University of Pennsylvania Post-doctoral Fellow 2018-2022

Areas of Expertise

  • Application, Impact, and Design of AI and Emerging Technologies
  • Human-Computer Interaction
  • Trust in and Adoption of AI Systems
  • Algorithmic Management: Designing Fair & Responsible AI in HRM
  • Future of Work and Metaverse in Workplaces

Publications

  • Daehwan Ahn, Abdullah Almaatouq, Monisha Gulabani, and Kartik Hosangar. “Impact of Model Interpretability and Outcome Feedback on Trust in AI.” ACM CHI Conference on Human Factors in Computing Systems 2024 (CHI 2024).
  • Hyanghee Park and Daehwan Ahn. “The Promise and Peril of ChatGPT in Higher Education: Opportunities, Challenges, and Design Implications.” ACM CHI Conference on Human Factors in Computing Systems 2024 (CHI 2024).
  • Hyanghee Park, Daehwan Ahn*, and Joonhwan Lee. “Lessons From Working in the Metaverse: Challenges, Choices, and Implications from a Case Study.” ACM CHI Conference on Human Factors in Computing Systems 2024 (CHI 2024). *Daehwan Ahn is a corresponding author.
  • Hyanghee Park, Daehwan Ahn*, and Joonhwan Lee. "Towards a Metaverse Workspace: Opportunities, Challenges, and Design Implications." ACM CHI Conference on Human Factors in Computing Systems 2023 (CHI 2023). *Daehwan Ahn is a corresponding author.
  • Hyanghee Park, Daehwan Ahn*, Kartik Hosanagar, and Joonhwan Lee. “Designing Fair AI in Human Resource Management: Understanding Tensions Surrounding Algorithmic Evaluation and Envisioning Stakeholder-Centered Solutions,” ACM CHI Conference on Human Factors in Computing Systems 2022 (CHI 2022). *Daehwan Ahn is a corresponding author.
  • Hyanghee Park, Daehwan Ahn, Kartik Hosanagar, and Joonhwan Lee. “Human-AI Interaction in Human Resource Management: Understanding Why Employees Resist Algorithmic Evaluation at Workplaces and How to Mitigate Burdens,” ACM CHI Conference on Human Factors in Computing Systems 2021 (CHI 2021).
  • Kong, Sung Hye, Daehwan Ahn, Buomsoo Kim, Karthik Srinivasan, Sudha Ram, Jung Hee Kim, Nam H. Cho, and Chan Soo Shin. (2020). “A Novel Fracture Prediction Model Using Machine Learning in a Community‐Based Cohort,” JBMR Plus: e10337.
  • Daehwan Ahn, Hyanghee Park, and Byungjoon Yoo. (2017). “Which Group Do You Want to Travel with? A Study of Rating Differences among Groups on Online Travel Reviews,” Electronic Commerce Research and Applications.
  • Daehwan Ahn, Seongmin Jeon, and Byungjoon Yoo. (2017). “What’s Your Real Age?: An Empirical Analysis of Identity Fraud in Online Game,” Information Systems and e-Business Management.

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