Ethics & AI

My latest research explores ethical hazards of AI and the ensuing challenges managers face when implementing AI in the workplace. I seek to understand how managers can think about and navigate these challenges to improve fairness and reach better outcomes.

My work is guided by behavioral theories of (un)ethical behavior and social psychology. This approach is useful for understanding how the use of technology impacts moral perceptions and behavior, especially ethical “blind spots” that may lead people to deviate from their values.

Conference 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. A Framework for Fairer Machine Learning in Organizations. [Review stages] Link to article
    • Finalist for ‘Best Conference Paper’ at Society of Business Ethics (SBE) Conference

       

  • Teodorescu, M. H. M.*, Morse, L*., Awwad, Y., & Kane, G. Failures of Fairness Through Automation: A Typology for Exploring Human-AI Augmentation in Organizations. [Review stages]
    • *Co-first authorship: both authors contributed equally.

       

  • Teodorescu, M. H. M., Geiger, M, & Morse, L.. Diversity Lessons from Speech Recognition Technology.

     

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Recommended links for learning more about AI:

A Background on AI

The Risks & Unintended Consequences of AI

Practical AI Podcast

Voices in AI Podcast