# Catalyzing Equity in STEM Teams: Harnessing Generative AI for Inclusion and Diversity

arXiv: https://arxiv.org/abs/2402.00037 · HTML: https://mlsanity.com/paper/2402.00037/

## Key facts

- Cited by 6 papers in the map (data through 14 Oct 2026).
- Builds on 1 of its 72 references that are in the map.
- First posted on arXiv 8 Jan 2024.

## Builds on (most cited first, 1 of 1)

- [Deep Discourse Analysis for Generating Personalized Feedback in Intelligent Tutor Systems](https://mlsanity.com/paper/2103.07785/) (2021)

## Built on by (most cited first, 6 of 6)

- [Fully Autonomous AI Agents Should Not be Developed](https://mlsanity.com/paper/2502.02649/) (2025)
- [Attention to Non-Adopters](https://mlsanity.com/paper/2510.15951/) (2025)
- [Personalities at Play: Probing Alignment in AI Teammates](https://mlsanity.com/paper/2603.00429/) (2026)
- [Measuring Inclusion in Interaction: Inclusion Analytics for Human-AI Collaborative Learning](https://mlsanity.com/paper/2602.09269/) (2026)
- [Beyond Detection: Governing GenAI in Academic Peer Review as a Sociotechnical Challenge](https://mlsanity.com/paper/2603.20214/) (2026)
- [TRAIL: A Platform for Configurable Human--AI Teaming Experiments](https://mlsanity.com/paper/2607.12180/) (2026)

## Abstract (arXiv)

Collaboration is key to STEM, where multidisciplinary team research can solve complex problems. However, inequality in STEM fields hinders their full potential, due to persistent psychological barriers in underrepresented students' experience. This paper documents teamwork in STEM and explores the transformative potential of computational modeling and generative AI in promoting STEM-team diversity and inclusion. Leveraging generative AI, this paper outlines two primary areas for advancing diversity, equity, and inclusion. First, formalizing collaboration assessment with inclusive analytics can capture fine-grained learner behavior. Second, adaptive, personalized AI systems can support diversity and inclusion in STEM teams. Four policy recommendations highlight AI's capacity: formalized collaborative skill assessment, inclusive analytics, funding for socio-cognitive research, human-AI teaming for inclusion training. Researchers, educators, policymakers can build an equitable STEM ecosystem. This roadmap advances AI-enhanced collaboration, offering a vision for the future of STEM where diverse voices are actively encouraged and heard within collaborative scientific endeavors.