AI4CAREER: Responsible AI for STEM Career Development at Scale in K-16 Education

AI is now shaping how students develop career identities in STEM, influencing not just information access but also feedback and advising—making it critical to understand how these systems affect students' sense of belonging and aspirations across K-16 education.

There is significant uncertainty about how AI career tools should be designed and governed at scale, particularly regarding appropriate boundaries for AI in career decision-making and how to ensure these systems align with students' developmental stages rather than treating all ages the same.

Current AI systems risk reproducing existing structural disparities in STEM careers unless deliberately designed with equity considerations, highlighting the need for intentional design practices that prevent AI from amplifying barriers that already limit access for underrepresented groups.

The definition of "STEM career readiness" itself is being reshaped by AI, raising questions about whether AI systems are assessing readiness in ways that actually prepare students for real careers or whether they're creating new, potentially narrow definitions that don't match what employers and the field actually need.

Cross-sector collaboration between researchers, educators, practitioners, and policymakers is essential to develop shared language and governance principles for responsible AI in STEM career development, rather than allowing these systems to be deployed without coordinated oversight.