EthicsBiasAccountabilitycs.CY
Balancing Innovation and Integrity: AI Integration in Liberal Arts College Administration
Ian Olivo Read
February 20, 2025
arXiv.org
1 citations
1 influential
Key Takeaways
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AI in higher education requires alignment with institutional mission: Liberal arts colleges must ensure that AI tools used in administration reflect their core values and educational principles, rather than adopting technology simply for efficiency gains.
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Algorithmic bias poses real risks to students: The paper identifies both "allocative harms" (unfair distribution of resources or opportunities) and "representational harms" (reinforcing stereotypes) as concrete concerns when AI systems are deployed in student affairs and academic decision-making without proper safeguards.
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Legal compliance and accreditation standards are evolving: LACs face challenges ensuring that their AI integration meets existing legal requirements and accreditation processes, suggesting that responsible AI deployment requires ongoing attention to regulatory landscapes.
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Value pluralism demands intentional governance: Because different stakeholders (faculty, students, administrators) may have competing priorities, colleges need deliberate strategies to balance innovation with institutional integrity rather than leaving AI decisions to technical teams alone.
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Responsible AI integration requires proactive planning: The paper emphasizes that LACs must develop strategies upfront to monitor and mitigate potential harms, rather than addressing ethical concerns reactively after AI systems are already in use.