  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.
