A legal advocacy group has raised concerns about the rise of AI tools in federal student‑aid systems, warning that automation in eligibility and awarding could introduce bias, reduce transparency, and expose institutions to legal challenges. The group urged the Department of Education to publish standards and oversight protocols before deploying AI in decision workflows affecting thousands of applicants. At the same time, the National Institutes of Health has signaled a change in labor relations by moving to no longer recognize a union of early‑career researchers. That policy shift affects postdoctoral and trainee populations who rely on NIH funding and oversight; higher‑education research offices and graduate programs will need to reassess support structures and compliance as federal labor and recognition rules evolve.