Metacognitive AI
How AI advisors can monitor, explain, and adapt their reasoning in ways that support reflective human judgment.
Information Systems · Human Centred AI · McMaster University
Designing AI that helps people think better.
I am Bita Mehri, a PhD Candidate in Information Systems at the DeGroote School of Business. My research examines how artificial intelligence can become a legitimate thinking partner that strengthens human judgment rather than replacing it.
Current focusMetacognitive AI and human judgment
Research premise
The important question is not simply whether AI is beneficial or harmful. It is how AI should be designed and used so that people reach better decisions without surrendering their agency.
Research agenda
Three connected streams
My work sits at the intersection of Information Systems, behavioral decision making, and human centred artificial intelligence.
Human AI Decision Making
How trust, critical thinking, task conditions, and system design shape advice use and appropriate reliance.
AI and Organizational Value
How technical, human, and organizational AI capabilities translate into performance and transformation.
Selected work
Current research portfolio
Dissertation
How Metacognitive AI Influences Advice Utilization
An experimental research program examining how metacognitive qualities in AI advisors shape human evaluation and use of AI advice across different decision tasks.
Online experiments · Behavioral reliance · Factorial designConference to journal development
Metacognitive AI and Appropriate Reliance
Research on whether metacognitive AI can promote calibrated rather than automatic reliance through trust resilience and critical thinking.
AMCIS 2025 · Human AI collaborationWorking paper
AI Capabilities and Firm Performance
A meta analytic synthesis of how technical, human, managerial, and AI enabled organizational capabilities relate to firm performance.
Meta analysis · Organizational valueJournal manuscript under review
Augmented Reality and Decision Comfort
A first authored project using flow theory to explain how augmented reality builds decision comfort through spatial presence in online shopping.
Survey research · CFA · PROCESSTeaching
Analytical confidence through practice.
I design learning experiences that connect conceptual understanding with applied problem solving. Students learn not only how to use analytical tools, but how to interpret results, question assumptions, and defend their decisions.
Learn by doingExplain the reasoningUse AI critically
104students taught as Instructor of Record
9.5/10highest section evaluation median
4software tutorials designed and delivered
Experience
A multidisciplinary path into Information Systems.
PhD in Business Administration, Information Systems
DeGroote School of Business, McMaster University
Sessional Faculty
Management of Enterprise Data Analytics, McMaster University
Master of Business Administration, Marketing
Amirkabir University of Technology · Ranked first in the Class of 2020
Bachelor of Engineering, Civil Engineering
University of Isfahan
Selected recognition
Honours and academic service
DeGroote International Graduate PhD Student Scholarship
Faculty of Business Distinguished PhD Student Scholarship
Joint Top Judges’ Award, CCBRS Poster Competition
Norm Archer Endowed Prize
Reviewer for AMCIS, ECIS, HICSS, ICIS, and SIGDSA
External Expert Rater for Generative AI Test Validation
Recent highlights
News and milestones
SIG DITE Professional Development Workshop
Presenting dissertation research on metacognitive AI and advice utilization.
CCBRS at the University of Guelph
Participated in the Canadian Conference for Business Research Students.
Joint Top Judges’ Award
Recognized in the CCBRS poster competition for dissertation research.
Connect