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Andrew Prahl
Assistant Professor for Communication Science
Wee Kim Wee School of Communication and Information
College of Humanities, Arts and Social Sciences

Andrew Prahl is an Assistant Professor in the Wee Kim Wee School of Communication and Information. His research interest lies in the replacement of humans with various forms of automation, including algorithms, AI advisors and robots. Andrew’s publications include investigations into automated versus human advice and the integration of automated decision-making into human teams.

Research Statement

My research goal is to understand the behavioral and psychological effects of replacing humans with automation. I am especially focused on the people who must work with new automation in the professional or personal lives after the machine has taken some or all of the duties of a human colleague. I take a broad view of automation in that I am interested in researching everything from a simple decision-making algorithm to complex AI systems and social robots. My work thus far reflects this approach with publications that discuss medical-decision making, automated advice, and human-automation teaming.

Research One-liner

Investigating the effects of replacing humans with machines.


Prahl, A., & Van Swol, L. (2017). Understanding algorithm aversion: When is advice from automation discounted?. Journal of Forecasting36(6), 691-702.

Prahl, A., & Enright, R. D. (2017). Forgiving Computers: The rise of automation and implications for counseling. Counseling and Values62(2), 144-158.

Prahl, A., Dexter, F., Van Swol, L., Braun, M. T., & Epstein, R. H. (2015). E-mail as the appropriate method of communication for the decision-maker when soliciting advice for an intellective decision task. Anesthesia & Analgesia121(3), 669-677.

Latest Projects
  • Understanding Machine Movement: What is Perceived as “Robotic”
  • Human-Machine Communication Centered Design: How a Communication Centric View will Improve Performance, Safety and Acceptance of Emerging Technologies
  • Regulatory Focus and Trust of Algorithmic Advice
Other affiliation(s)

Expert Areas
Communication, Human-Automation Trust, machine ethics

Research Interests
AI for Humanity, Human-Machine Teaming, Human-Machine Trust, Science, Technology

Research Category
Accounting, Business & Management, Arts & Humanities, Engineering & Technology, Social Sciences
Research Sub-category
Business and Management, Communication Studies, Machines & Systems, Psychology, Systems and Engineering Management
NISTH Assigned Topic Groupings
Responsible AI/Tech, Smart cities, smart nation & future living
Affiliated Sustainable Development Goals
GOAL 3: GOOD HEALTH AND WELL-BEING – Ensuring healthy lives and promoting the well-being for all at all ages is essential to sustainable development.
GOAL 8: DECENT WORK AND ECONOMIC GROWTH – Sustainable economic growth will require societies to create the conditions that allow people to have quality jobs.
GOAL 9: INDUSTRY, INNOVATION, AND INFRASTRUCTURE – Investments in infrastructure are crucial to achieving sustainable development.
The Sustainable Development Goals (SDGs), also known as the Global Goals, were adopted by all United Nations Member States in 2015 as a universal call to action to end poverty, protect the planet and ensure that all people enjoy peace and prosperity by 2030.
Last Updated
08 Apr 2020
Last Updated
13 Sep 2020