Building and Sustaining an AI-informed Institution
Title: Navigating Artificial Intelligence in Postsecondary Education: Building Capacity for the Road Ahead
Source: Office of Educational Technology, U.S. Department of Education
As a response to the Executive Order on the Safe, Secure, and Trustworthy Development and Use of Artificial Intelligence, the Department of Education’s new brief, Navigating Artificial Intelligence in Postsecondary Education, provides recommendations for leaders at higher education institutions. The brief is divided into two main parts: one with policy recommendations and one reviewing literature and research.
The report outlines five recommendations:
Develop clear policies for the use of AI in postsecondary settings. The use of AI can be vast, from admissions to enrollment to other decision-making processes. It is important, though, to ensure that AI is not reifying bias. Stakeholders should consider the potential utility of an AI Bill of Rights or the National Institute of Standards and Technology’s AI Risk Management Framework in shaping policies for their campuses. They should also consider affirmative consent and disclosure policies as they relate to AI, as well as inscribing characteristics that make AI trustworthy.
Generate infrastructure that supports the use of AI in pedagogy, student support, and data tracking. Incentivizing cross-department collaboration and faculty involvement in the development of AI tools is key. It is also important to integrate social and behavioral science research into evaluation of AI.
Continually assess AI tools. This includes testing equity and accounting for any bias. AI should continuously go through a feedback loop. Institutions need to strategize in ensuring a balance of human supervision. Additionally, evaluations should be comprehensive and from diverse stakeholders.
Collaborate with partners for the development and testing of AI across different educational uses. Leaders are tasked with finding and building relationships with partners. These partnerships should aim to ensure best practices and promote equitable AI.
Programs should grow and develop alongside the job market’s increased demand for AI. Leaders must consider how to keep up with the evolving demand for AI, as well as how to integrate across all disciplines.
Click here for the full report.
—Kara Seidel
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