My latest research examines how AI systems can be made more capable of making ethical decisions that improve people’s experiences of fairness at work.
My work is guided by research in behavioral ethics and social psychology. This is a useful lens for understanding the impact of automated technology on employee perceptions and behavior.
Conferences, Publications, & Working Papers
- Tarafdar, M., Teodorescu, M., Tanriverdi, H., Robert, L. P., & Morse, L. (2020). Seeking the Ethical Use of AI Algorithms: Challenges and Mitigations. Forty-First International Conference on Information Systems (ICIS). Link to conference panel
- Morse, L., Teodorescu, M. H. M., Awwad, Y., & Kane, G. (2020). A Framework for Fairer Machine Learning in Organizations. Society of Business Ethics (SBE) Annual Conference. Link to article
- Finalist for ‘Best Conference Paper’
- Teodorescu, M. H. M.*, Morse, L*., Awwad, Y., & Kane, G. (In press). Failures of Fairness in Automation Require A Deeper Understanding of Human-ML Augmentation. MIS Quarterly. Link to advance online publication
- *Co-first authorship: both authors contributed equally.
- Forthcoming Special Issue on “Managing AI”
Working Papers & Under Review
- Morse, L., Teodorescu, M. H. M., Awwad, G., & Kane, G. Organizational Justice & Machine Learning. [Review Stages]
- Teodorescu, M. H. M., Geiger, M., & Morse, L. How Speech Recognition Technology Can Threaten Diversity and Inclusion. [Under Review]