Harvard/Wellesley Collaborative Project
Human–AI Interaction Research
Summer Research Intern · Summer 2026
I contributed to a collaborative research project investigating how generative AI influences human productivity, decision-making, and professional performance. I reviewed and synthesized academic studies on human–AI collaboration across fields including law, education, healthcare, and business, with particular attention to randomized controlled trials and real-world experiments.
I evaluated research methodologies, experimental conditions, participant populations, and measurable outcomes to help build a structured database of empirical evidence on AI’s effects.
The project explores a central question:
When does AI meaningfully augment human capabilities, and when might it introduce new limitations?
What I worked on
My contribution was research analysis, literature review, and data curation. I read experimental studies that compare AI-assisted and human-only conditions, then recorded how each study was designed, who participated, and which outcomes changed.
Those notes are organized so studies can be compared by research setting, effect direction, and domain. The layout below shows the card structure. Individual studies are not included here.
- Law
- Education
- Healthcare
- Business
A study card
Each study becomes a card with the same fields, so different experiments can be read side by side. This is a sketch of that layout, not a record from the database.
- Study type
- Effect direction
- Domain
Education
Field experiment
AI-assisted compared with human-only
- Who participated
- What was measured
- How the conditions differed
Healthcare
Lab or online
AI-assisted compared with human-only
- Who participated
- What was measured
- How the conditions differed
Law
Field experiment
AI-assisted compared with human-only
- Who participated
- What was measured
- How the conditions differed
Illustrative only. No study titles, authors, or results are shown.
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