Empowering Higher Education to Navigate Risks and Rewards of AI with a New Policy Framework

Anthology, a leading provider of education solutions, has introduced its AI Policy Framework to assist higher education institutions in developing and implementing policies related to the ethical use of artificial intelligence (AI). The framework offers guidance on evaluating the implications of AI, drafting and implementing policies, and establishing governance within institutions.

Built upon seven core principles – fairness, reliability, humans in control, transparency and explainability, privacy, security, and safety, value alignment, and accountability – Anthology’s AI Policy Framework aligns with international standards such as the NIST AI Risk Management Framework, the EU AI Act, and the OECD Principles.

CEO of Anthology, Bruce Dahlgren, emphasized the importance of creating policies that not only regulate AI use but also leverage its capabilities to drive student success, operational excellence, and institutional efficiencies. The framework acknowledges the wide-ranging impact of AI across academic, governance, administrative, and operational functions within institutions.

Incorporating considerations for governance, teaching and learning, operational processes, copyright and intellectual property, research, academic dishonesty, policy updates, and non-compliance consequences, Anthology’s AI Policy Framework aims to provide a comprehensive approach to managing AI use in higher education.

A recent survey revealed that university leaders recognize AI’s potential to impact higher education and university operations, with concerns about ethical AI use being balanced by the perceived value of AI in personalized learning experiences and enrollment/admission campaigns. Anthology’s framework aims to assist institutions in navigating these complexities and maximizing the benefits of AI technology in education.