Evelyn O. Smith
Ph.D. Student
Academic Department: Marketing & International Business
Area of Specialization: Marketing
About
- I am a quantitative marketing doctoral candidate at Foster School of Business, University of Washington. My research focuses on exploring the intersection between marketing and emerging technologies (e.g., AI).
Research Interests
- Marketing Implications of AI
- Content Recommender Systems
- Pricing
- Technology Strategy
- Product Management
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- In my job market paper, My Fair AI: Policy Impacts on Content Recommendation with Consumer Identity Revelation, I use game theory models to analyze firms' content recommendation decisions, firm’s investment in AI learning, and different consumer groups’ endogenous identity revelation decisions. I show that AI fairness policies that are designed to resolve inequality between groups can ultimately lead to increased AI learning effort, as well as increased recommendation accuracy across consumer groups.
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- My working paper, Reinforced Glass Ceiling: Generative AI Depicting Salary Gender Bias, empirically examined generative AI bias using generated data. The research has identified a systematic gender bias in income levels when the generative AI depicts visual images based on text prompts.
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- My first game theory paper, Product diversion by vertically differentiated firms, is published in a top tier operational journal Production and Operations Management (POM). The research provides valuable insights on how vertically differentiated sellers make diversion decisions responding to an unauthorized dealer under unique circumstances not considered by previous research.
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- My research agenda going forward will continue to identify the marketing implications of AI and AI fairness. My personal interests and domain knowledge in AI from professional working experience have empowered my current and future research in this area.
Publications
- Smith, E. O., & Shulman, J. D. (2022). Product diversion by vertically differentiated firms. Production and Operations Management, 31(5), 1928-1939
Working Papers
- My Fair AI: Policy Impacts on Content Recommendation with Consumer Identity Revelation, job market paper
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- Reinforced Glass Ceiling: Generative AI Depicting Salary Bias, with Jeff Shulman
