What happened
Global business school accreditors AACSB and EFMD lack unified AI governance standards despite rapid institutional adoption. Schools currently deploy generative AI for admissions screening, automated grading, and curriculum design without shared benchmarks. This policy lag follows the December 2025 shift where institutions prioritised AI skill integration over formal ethics frameworks. Current efforts focus on defining AI-literate graduates while individual schools set fragmented rules for student usage and faculty research.
Why it matters
Fragmented standards prevent recruiters from verifying AI competency across different MBA programmes. Admissions officers risk bias because automated screening lacks audited benchmarks. This policy vacuum mirrors the lack of clear AI investment policies reported by boards in January. Therefore, institutions cannot standardise degree value, which blocks universal accreditation for AI-integrated curricula. Resulting uncertainty forces hiring managers to implement independent technical testing to validate candidate claims.
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