Stephanie Kelley

Peer-Reviewed Publications

Kelley, S. (2026) Developing a Checklist to Reduce Unethical Applications of Artificial Intelligence for the Legal Community. AI and Ethics. 6(47) https://doi.org/10.1007/s43681025-00841-2

Schiff, D., Kelley, S., Camacho Ibanez, J. (2024) The Emergence of Artificial Intelligence Ethics Auditing. Big Data & Society. 11(4). All authors contributed equally (5-year impact factor 8.9) [Citations: 40] https://doi.org/10.1177/20539517241299732

Jenkin, T., Kelley, S., Ovchinnikov, A., Ying, C. (2024) Explanation Seeking and Anomalous Recommendation Adherence in Human-to-Human versus Human-to-Artificial Intelligence Interactions. Decision Sciences Journal, Special Issue on Artificial Intelligence Decision Making. 55(6):653-668. All authors contributed equally (ABDC^[1] A*) [Citations: 4] https://doi.org/10.1111/deci.12658

• Popular press articles about this publication: 
  • Explaining Away AI Insights: In many situations, we’re held back by an irrational aversion to algorithmic advice. Would an explanation from the algorithm help? Smith Business Insight, March 19, 2025.

Kelley, S., Ovchinnikov, A., Hardoon, D., Heinrich, A. (2022) Antidiscrimination Laws, AI, and Gender Bias: A Case Study in Nonmortgage Fintech Lending. Manufacturing & Service Operations Management, Special Issue on Responsible Research. 24(6):2797-3306 (ABDC¹ A*) [Citations: 62] https://doi.org/10.1287/msom.2022.1108  

• This paper was 1 of the 6 “Top Read” papers in the journal in 2024
• Publication awards and recognition:
  • 2023 Best Paper in the Manufacturing & Service Operations Management (MSOM: ABDC¹ A*) Interface of Finance, Operations, and Risk Management (iFORM) Special Interest Group (SIG) Competition
    • [1] The 2019 Australian Business Deans Council (ABDC) Journal Quality List endorses 2,682 journal entries, with A*: 7.41% (199); A: 24.27% (651); B: 31.69% (850); and C: 36.61% (982).
  • International Research Centre on Artificial Intelligence under the auspices of UNESCO 2022-2023 Top 100 AI solutions for reaching the 17 SDGs 
• Publication award nominations:
  • 2025 Nominee for the Financial Times Responsible Research Award (results TBD)
  • 2024 & 2025 Nominee for the MSOM Responsible Research Award (results TBD)
  • 2023 & 2024 Nominee for the INFORMS
  • Semi-finalist in the 2022 MSOM Responsible Operations competition
• Popular press articles about this publication:
  • Removing Demographic Data Can Make AI Discrimination Worse, Harvard Business Review, March 6, 2023. (ABDC¹ A)
  • How Anti-Discriminatory Measures Can Worsen AI Bias, INSEAD Knowledge, November 2023

Kelley, S. (2022) Employee Perceptions of the Effective Adoption of AI Principles. Journal of Business Ethics, Special Issue on Business Ethics in the Era of Artificial Intelligence. (178): 871-893 (ABDC¹ A) [Citations: 153] https://doi.org/10.1007/s10551-022-05051-y

• Popular press articles about this publication:
  • The Route to Trusted AI: What the financial services sector can teach us about preparing for the age of artificial intelligence. Smith Business Insight, May 12, 2021

Reports

Abdur-Rahman, P., Havens, J., Kelley, S. et al. (2021) IEEE Finance Playbook Version 1.0: Trusted Data and Artificial Intelligence Systems (AIS) for Financial Services. IEEE Standards Association. Available at: https://standards.ieee.org/industry-connections/aisfinance-playbook.html   

Kelley, S., Levin, Y. & Saunders. D.M. (2018) A Code of Conduct for the Ethical Use of Artificial Intelligence in Financial Services. Prepared for the Canadian Banks AI Ethics Working Group. Available at: https://www.stephaniekelleyresearch.com/a-code-of-conductfor-ethical-ai

Works Under Review

Schiff, D., Kelley, S., Schiff, K., McCrain, J., Adams, I.T. Vetting the AI that Vets Us: Ethical Trade-offs in Public and Private Sector AI Adoption Decisions. Under Review at Nature Communications. All authors contributed equally (5-year impact factor 15.9)

Works in Progress

Kelley, S., Ovchinnikov, A., Heinrich, A., Chong, S.Y. Tailoring Explainable Artificial Intelligence to Reduce Algorithm Aversion and Improve Profitability.

Kelley, S., Jenkin, T., Ovchinnikov, A. Can AI Even Give Me an Explanation? The Impact of Explanation Availability and Understandability on User Perceptions, Explanation Seeking, and Algorithm Aversion.

Patil, I., Schiff, D., Kelley, S., Camacho Ibanez, J. Operationalizing Ethics in AI Ethics Auditing: A Structuration Approach. For submission to Ethics and Information Technology. (5-year impact factor 2.9).

Kelley, S. Developing a Measure of AI Ethics Principle Implementation.

Media Coverage

2020 Data Futurology Podcast: AI Ethics with Stephanie Kelley. June 2, 2020. Available at: https://www.datafuturology.com/podcast/2020/6/2/115-ai-ethicswith-stephanie-kelley-phd-candidate-in-ai-ethics-at-queens-university-ieeeethically-aligned-design-for-finance-working-committee-member 

2018 The AI revolution needs a rulebook. Here’s a beginning. Globe and Mail. December 6, 2018. Available at: https://www.theglobeandmail.com/business/commentary/article-the-ai-revolutionneeds-a-rulebook-heres-a-beginning/  

Teaching Scholarship

Ovchinnikov, A., Kelley, S. (2022) Ethics and AI: The 2020 International Baccalaureate Grading Scandal – Teaching Note. Darden Business Publishing.

Teaching Development

Courses Developed at Saint Mary’s University

2024 AI Ethics and Data Governance, Executive Professional Development (part of the Action for Health Data Analytics Initiative)

2024 MGSC 2217: Operations Management (co-developed syllabus and selected textbook)

2024 MBAN 5530: Ethics and Governance for Analytics

Courses Re-Designed at Saint Mary’s University

2024 MGSC 1205: Quantitative Methods 1 (renamed Intro to Business Decision Modelling)

Past Course Developed at Other Universities

2023 MMA-803: AI Ethics (Queen’s University, MMA program)

2021 MBUS 865: Big Data and AI (Queen’s University, EMBA program)

Graduate Student Supervision

Supervised
Jose Lorenzo Valdespino, St. Mary’s University, PhD APSC Class of 2030 (2026 – Present)

Co-supervised
Indira Patel, Purdue University, PhD Class of 2028 (2023 – Present)

Research Student Supervision

Supervised
Hanna Johnston, SMU BCOMM Undergraduate Class of 2027 (2025 & 2026)
Muhammad Uzair Tahir, SMU MSc Applied Science Class of 2025 (2025)
Dipshikha Bheekhee, SMU MBAN Class of 2025 (2024)

Invited, Peer-Reviewed Conference Presentations

(*presenter) 

Kelley, S., Jenkin, T., Ovchinnikov, A. The Value of an AI Explanation: User Perceptions, Explanation Seeking, and Algorithm Aversion. CORS 2026 Annual Meeting, Kingston, ON, CA.

Kelley, S., Ovchinnikov, A.* (2025, October) Tailoring Explainable Artificial Intelligence to Reduce Algorithm Aversion and Improve Profitability. INFORMS 2025 Annual Meeting, Atlanta, GA, US.

Kelley, S.*, Bheekhee, D. (2025, April) Developing a Checklist to Reduce Unethical Applications of Artificial Intelligence in the Legal Community. Presented at The Politics of AI Workshop (PAW) 2025, 2025 Midwest Political Science Association Annual Meeting, Chicago, IL, US.

Schiff, D.*, Kelley, S., Schiff, K., McCrain, J., Adams, I. (2025, April) Vetting the AI that Vets Us: Ethical Trade-offs in HR Professionals’ AI Procurement Decisions. Presented at The Politics of AI Workshop (PAW) 2025, 2025 Midwest Political Science Association Annual Meeting, Chicago, IL, US.

Kelley, S.*, Ovchinnikov, A. (2024, October) The Role of Explainable Artificial Intelligence in Influencing Loan Officer Behaviour. INFORMS 2024 Annual Meeting, Seattle, WA, US.

Schiff, D.*, Schiff, K., Kelley, S., McCrain, J., Adams, I. (2024, September). Ethical Considerations for AI in Human Resource Decisions. 2024 American Political Science Association Annual Meeting, Philadelphia, PA, US.

Kelley, S.*, Jenkin, T., Ovchinnikov, A. (2024, June) Can AI Even Give Me an Explanation? 2024 Canadian Operations Research Society Annual Meeting, London, ON, CA.

Camacho Ibanez, J.*, Schiff, D., Patil, I., Kelley, S. (2024, June) Shaping the Future of AI Governance: Challenges, Drivers, and Recommendations for Ethical Auditing Practices. Presented at the XXXI European Business Ethics Network, Cáceres, Spain.

Kelley, S.*, Ovchinnikov, A., Heinrich, A. (2024, April) Using Explainable Artificial Intelligence to Improve Credit Access. Presented at the 2024 Production and Operations Management Annual Meeting, Minneapolis, MN, US.

Patil, I.*, Schiff, D., Kelley, S., Camacho Ibanez, J. (2024, April) Operationalizing Ethics in AI Ethics Auditing. Presented at the 81^st Annual Midwest Political Science Association Conference, Chicago, IL, US.

Patil, I.*, Schiff, D., Kelley, S., Camacho Ibanez, J. (2024, February) Operationalizing Ethics in AI Ethics Auditing: Drivers and Challenges. Presented at the 2024 Association of Practical and Professional Ethics Conference, Cincinnati, OH, US.

Jenkin, T., Kelley, S., Ovchinnikov, A., Ying, C*. (2023, November) Explanation Seeking and Recommendation Adherence in Human-to-Human versus Human-to-Artificial Intelligence Interactions. Presented at the 2023 Decision Sciences Institute Annual Conference, Atlanta, GA, US.

Schiff, D.*, Schiff, K.J., Kelley, S., McCrain, J., Adams, I.T. (2023, November) Ethical Considerations for AI in Local Government HR Management. Presented at the 2023 Association for Public Policy Analysis & Management Fall Conference, Atlanta, GA, US.

Jenkin, T., Kelley, S.*, Ovchinnikov, A., Ying, C. (2023, October) Improving the effectiveness of human-AI collaboration. Presented at the INFORMS 2023 Annual Meeting, Phoenix, AZ, US.

Jenkin, T., Kelley, S., Ovchinnikov, A., Ying, C*. (2023, June) Explanation Seeking and Recommendation Adherence in Human-to-Human versus Human-to-Artificial Intelligence Interactions. Presented at the 16^th Annual Behavioural Operations Management Conference, Baltimore, MD, US.

Kelley, S.*, Ovchinnikov, A., Heinrich, A. (2022, December) Tailoring Explainable Artificial Intelligence in Practice. Presented at the 2022 Conference on Artificial Intelligence, Machine Learning, and Business Analytics, Harvard Business School, Boston, MA, US.

Kelley, S.*, Ovchinnikov, A., Heinrich, A. (2022, November) Using Analytics to Develop Explainable Artificial Intelligence Solutions for Lenders. Presented at the 2022 Decision Sciences Institute Annual Conference, Houston, TX, US.

Kelley, S.* & Ovchinnikov, A. (2022, October) Explainable AI for Employees: Loan Officer Preferences and Profitability Implications for Firms. Presented at the INFORMS 2022 Annual Meeting, Indianapolis, IN, US.

Kelley, S.* & Ovchinnikov, A. (2021, November) Anti-Discrimination Law, AI, and Gender Bias: A Case Study in Non-Mortgage Fintech Lending. Presented at the 2021 Decision Sciences Institute Annual Conference (Virtual).

Kelley, S.* (2021, August) Effective Adoption and Implementation of AI Principles. Presented at the 2021 Academy of Management Annual Meeting (Virtual), Technology Innovation Management Section.

Kelley, S.* & Ovchinnikov, A. (2021, June) Anti-Discrimination Law, AI, and Gender Bias: A Case Study in Non-Mortgage Fintech Lending. Presented at the 2021 INFORMS MSOM Virtual Conference.

Kelley, S.* & Ovchinnikov, A. (2020, November) Anti-Discrimination Law, AI, and Automated Gender Bias in Non-mortgage Fintech Lending. Presented at the INFORMS 2020 Annual Meeting (Virtual).

Invited Practitioner Presentations

2025 (May) Humanizing Artificial Intelligence for a More Efficient and Innovative Workplace, Informed HR Event Conference, Halifax, Canada

2024 (Nov) AI in Labour and Employment Law, Ontario Bar Association’s Labour and Employment Law Section, Toronto, Canada (virtual)

2024 (Jan) Detecting Bias in AI-based Insurance Models, CAA Insurance, Toronto, Canada.  

2023 (Dec) AI Ethics and Human Rights, 12^th Human Rights Summit, Law Society of Ontario, Toronto, Canada. 

2023 (Nov) AI Ethics Implementation, Fasken, Toronto, Canada. 

2023 (July) Ethical and Intellectual Property Implications of Generative AI Technologies.  IPIC-McGill Copyright Master Class, McGill University, Montreal, Canada.

2023 (May) McCarthy Tétrault Cross-country AI Summit. McCarthy Tétrault, Toronto, Canada.

2023 (April) Gender Analytics: Possibilities Conference, Rotman School of Management, University of Toronto, Toronto, Canada.

2022 (Sept) AI Ethics Implementation, Toronto Dominion Bank, Toronto, Canada.

2021 (Nov) The Next Evolution of AI Adoption, The Canadian Regulatory Technology Association Annual Event, Toronto, Canada.

2021 (May) AI Ethics: Navigating Guidelines and Regulation, Fasken, Toronto, Canada.

2020 (Mar) AI, Ethics, and Law, Conflict Analytics Lab, Queen’s University, Kingston, Canada. 

2019 (Oct) Artificial Intelligence and Law, Stewart McKelvey, Halifax, Canada. 

2019 (Jan) The Ethics of Artificial Intelligence in Financial Services. Scotiabank Digital Discover Education Session, The Bank of Nova Scotia, Toronto, Canada. 

Other Academic Presentations

(*presenter)

Kelley, S.* (2026, March) AI Ethics for Engineers. Invited Teaching Seminar, CIVL 4840: Professional Practice in Civil and Environmental Engineering, Dalhousie University, Halifax, Canada.

Kelley, S.* (2025, May) Operationalizing AI Ethics. Invited Research Seminar, Atlantic AI Summit, Saint Mary’s University, Halifax, Canada.

Kelley, S.* (2025, February) Tailoring Explainable AI to Influence Loan Office Behaviour. Invited Research Seminar, Dalhousie Department of Industrial Engineering, Halifax, Canada.

Kelley, S.*, Ovchinnikov, A. (2024, November) Tailoring Explainable AI to Increase Recommendation Adherence. Young Scholar Seminar, Rotman School of Management, University of Toronto, Canada.

Jenkin, T., Kelley, S.*, Ovchinnikov, A., Ying, C. (2023, October) The Role of Explanations in Human-AI Collaboration. Presented at the FISMS Fall Research Seminar, Saint Mary’s University, Halifax, Canada.

Kelley, S.*, Heinrich, A., Ovchinnikov, A. (2022, November) Explainable Artificial Intelligence: Methods over Models. Presented at the Visiting Scholars Research Seminar, American University, Washington, D.C, US.

Kelley, S.* & Ovchinnikov, A. (2022, May) Anti-discrimination Regimes & Credit Lending. Presented at the Law, Society, & AI Seminar, Institut Polytechnique de Paris and HEC (Virtual).

Kelley, S.* (2021, May) Analytics Research Illustration. Presented at the Smith School of Business 2021 Doctoral Students “Get to Know You” Research Event, Queen’s University, Kingston (Virtual).

Kelley, S.* & Ovchinnikov, A. (2019, September) (Anti-Discrimination) Laws, AI, and Gender Bias. Poster presented at the 2019 Smith School of Business Graduate Consortium, Queen’s University, Kingston., Canada.

Kelley, S.*, Levin, Y., & Saunders. D.M. (2018, November) A Code of Conduct for the Ethical Use of Artificial Intelligence in Financial Services. Presented at the Scotiabank Conference on AI Ethics, The Bank of Nova Scotia, Toronto, Canada.

Kelley, S.*, Levin, Y., & Saunders. D.M. (2018, September) A Code of Conduct for the Ethical Use of Artificial Intelligence in Financial Services. Presented at the 2018 Smith School of Business Graduate Consortium, Queen’s University, Kingston, Canada.

(all awards are solo applications unless otherwise noted)

Successful Tri-Council Research Awards ($191,900)

• 2025-2031 SSRHC Insights Grants ($163,400) *1 year maternity leave extension
• 2024-2026 NSERC Alliance ECR Grant ($10,000) *1 year maternity leave extension
• 2024-2025 SSHRC Partnership Engage Grant ($18,500) 

Other Competitive Research Awards (as faculty: $80,718, as PhD: $133,000)

• 2024-2030 Scotiabank Professor in Innovations in Business Technology, Saint Mary’s University ($75,000) *1 year maternity leave extension
• 2023-2024 New Faculty Research Grant, Saint Mary’s University ($4,718)
• 2023 SMU FSGR Explore International Conference Travel Grant ($1,000)

(Doctoral studies ended)

• 2021 D.D. Monieson Doctoral Fellowship, Smith School of Business, Queen’s University ($5,000)
• 2020-2022 SSHRC Doctoral Fellowship ($40,000)
• 2020 Graduate Dean's Doctoral Field Travel Grant, Queen’s University ($3,000)
• 2019-2020 Ontario Graduate Scholarship ($15,000)
• 2018-2019 R.S. McLaughlin Fellowship, Queen’s University ($10,000)
• 2018 OCE TalentEdge Fellowship ($15,000)

Other Honours and Awards

2025

• Nominee – 2025 INFORMS Frederick D. Lanchester Prize for the best contribution to operations research and management sciences in the past five years (not awarded)
• Finalist - Manufacturing & Service Operations Management (MSOM) Responsible Research Award (Finalist position awarded – full prize not awarded)

2024

• Nominee – 2024 Financial Times Responsible Research Award: Business
• School Academic Research Addressing Societal Challenges (not awarded)
• Nominee – 2024 INFORMS Frederick D. Lanchester Prize for the best contribution to operations research and management sciences in the past five years (not awarded)
• Nominee- Manufacturing & Service Operations Management (MSOM) Responsible Research Award (not awarded)
• Bankinter Scientific Research Awards in Business Ethics, Corporate Social Responsibility, and Sustainability sponsored by Bankinter Consumer Finance, Spain (Awarded 4^th place certificate, out of 64 applications)

2023

• Start-up Grant, Sobey School of Business, Saint Mary’s University ($25,000)
• Best Paper in the Manufacturing & Service Operations Management (MSOM) Interface of Finance, Operations, and Risk Management (iFORM) Special Interest Group (SIG) Competition 
• Nominee – 2023 INFORMS Frederick D. Lanchester Prize for the best contribution to operations research and management sciences in the past five years (not awarded)
• Nominee – INFORMS George B. Dantzig Dissertations Award for best dissertation in any area of operations research and management science that is innovative and relevant to practice (not awarded)
• “Excellent” Ranking (Top 30) and Global Top 100 AI Solutions for the UN SDGs by the International Research Center on Artificial Intelligence under the auspices of UNESCO (https://ircai.org/top100/entry/how-data-science-and-ai-can-reducegender-bias-and-concurrently-increase-profitability/) 

2022

• Outstanding Reviewer Award, Technology Innovation Management Division, Academy of Management Annual Meeting 
• Start-up Grant, Ivey School of Business, Western University ($75,000) (Doctoral studies ended)

2021 

• Rising Stars in AI Ethics, Women in AI Ethics (https://womeninaiethics.org/the-list/rising-stars/)
• PhD Student Research Excellence Award, Smith School of Business, Queen’s University

2020

• Alan R. Dennis Doctoral Award, Smith School of Business, Queen’s University  

2019

• New PhD Student Research Excellence Award, Smith School of Business, Queen’s University  

Grant Applications not Awarded

• 2026-2032 Co-applicant for NSERC Create Grant ($1,650,000: 9 co-applicants- did not progress outside Dalhousie application competition for 2025)
• 2024 NSERC Discovery Grant ($223,400: removed after NOI for ineligible methods)
• 2024 Ontario Privacy Commission Contributions Program ($32,393: not awarded)
• 2022 SSHRC Talent Award, Queen’s University Nominee ($50,000: not awarded)

University Service at Saint Mary’s University (Ongoing)

• 2026 – present | Member, Research For Change Working Group, Sobey School of Business
• 2024 – present | Member, Data Analytics Certificate Committee (FISMIS Department)
• 2024 – present | Union Observer, SMUFU
• 2024 – present | Member, FISMS Departmental Gift Committee
• 2023 – present | FISMS Department Representative, SMUFU Liaison Committee
• 2023 – present | Member, Sobey School of Business Faculty Outreach Committee

University Service at Saint Mary’s University (One-Time)

• 2025 (Feb) | Member, Sobey National Innovator Scholarship Selection Committee 
• 2024 (Nov) | Panel Organizer & Moderator, PRME Responsible Leadership Day
• 2024 (Jan - Nov) | Faculty Coordinator, PRME Responsible Leadership Day
• 2024 (Oct) | Faculty Presenter, BComm Fall Open House
• 2024 (Aug) | Keynote Speaker, EDBA Welcome Dinner 
• 2024 (Mar - May) | Faculty Coordinator, High School Student Recruiting Conference
• 2023 (Oct) | Faculty Presenter, BComm Fall Open House
• 2023 (Oct) | Faculty Panelist, SMU Homecoming – AI Event
• 2023 (Oct) | Faculty Presenter, Data Analytics & Visualization Workshop

Teaching Community Service Involvement

• 2023 | Faculty Judge, Deloitte Innovation Forum, Ivey Business School
• 2021 | Case Marker, Inter-Collegiate Business Competition, MIS Stream
• 2021 | Doctor Consortium Participant, Technology Innovation Management Doctoral Consortium, Academy of Management Annual General Meeting, Virtual
• 2021 | Committee Member, Special Appointments Committee for Canada Research Chair in Responsible Use of AI, Queen’s University
• 2020-2021 | Committee Member, Smith School of Business Equity, Diversity, Inclusion, and Indigeneity (EDII) Teaching & Learning Subcommittee
• 2020 | Case Marker, Inter-Collegiate Business Competition, MIS Stream
• 2020 | Panel Discussant, Smith School of Business Social Impact Summit
• 2019 | Panel Discussant, Queen’s Smith School of Business Graduate Consortium, Ask Me Anything PhD Panel
• 2019 | Case Marker, Inter-Collegiate Business Competition, MIS Stream
• 2019 | PhD Representative, Smith School of Business Research Committee
• 2019 | Panel Discussant, Queen’s Smith School of Business Graduate Consortium, Ask Me Anything PhD Panel
• 2019 | Panel Discussant, Queen’s Smith School of Business Analytics Club
• 2018 | Panel Discussant, Queen’s Smith School of Business Social Impact Summit, AI Ethics Panel

Professional Community Service (Terms)

• 2024 – 2025 | President, Canadian Operational Research Society, Analytics SIG
  Wrote SIG bylaws, updated SIG website, ad-hoc special projects for CORS, organized mid-year research webinar, organized 6 analytics sessions at the 2025 Annual Conference, coordinated Analytics SIG Annual Meeting at the CORS 2025 conference

Professional Community Service (One-Time)

• Session chair, Canadian Operational Research Society Analytics SIG, 2026 CORS Meeting
• Cluster Co-Chair, Canadian Operational Research Society Analytics SIG, 2025 CORS Meeting
• Webinar coordinator, Canadian Operational Research Society, Analytics, SIG, Responsible Analytics Webinar (March 2025)
• Judge, Canadian Operational Research Society Health Care Operational Research SIG Best Student Paper Presentation, 2024 CORS Meeting
• Session chair, Analytics, 2024 CORS Meeting
• Session chair, DEI stream, 2024 POMS Meeting
• Panellist, MSOM DEI Conversation, 2023 INFORMS AGM
• Session chair, Human-AI collaboration stream, 2023 INFORMS AGM
• Session chair, DEI, 2022 DSI AGM

Memberships

• The International Association for Safe and Ethical AI (IASEAI)
• Canadian Operational Research Society (CORS) o Analytics Special Interest Group o Teaching and Learning Special Interest Group
• The Institute for Operations Research and the Management Sciences (INFORMS)
• Production and Operations Management Society (POMS)
• Decision Sciences Institute (DSI)
• Manufacturing & Service Operations Management (MSOM) Society at INFORMS
• Women in Operations Research Management Science (WORMS) at INFORMS

Research Lab Affiliations

• 2024 – Present | Founding Member, Digital Ethics Lab, Universidad Europa (Madrid)
• 2023 – Present | Associate, Governance and Responsible Artificial Intelligence Lab (GRAIL), Purdue University

Peer Review Activities  

2026

• AI and Ethics

2024

• Manufacturing & Service Operations Management (ABDC A*)
• Healthcare Management Science
• Springer (x2)
• Big Data & Society
• Production Operations Management (ABDC A*)

2023

• Business & Society Review
• Production Operations Management (x2) (ABDC A*)
• Palgrave Macmillan, Scholarly Business, USA
• Academy of Management Annual Meeting

2022

• MIS Quarterly (ABDC A*)
• Academy of Management Annual Meeting