Source: ResearchGate

 
ResearchGate presents a generative AI decision tree framework aimed at guiding higher education institutions in navigating the ethical challenges of adopting AI technologies. This decision tree synthesizes insights from established guidelines and frameworks to support responsible AI implementation.

The framework emphasizes the importance of transparency, accountability, and inclusivity in decision-making processes, particularly when AI is used for admissions, grading, and student engagement. It also highlights the potential risks, including bias, data privacy concerns, and the erosion of academic integrity if AI tools are misused.

The report encourages institutions to involve diverse stakeholders—students, faculty, and administrators—in the design and oversight of AI policies. Additionally, it underscores the necessity of ongoing evaluation to ensure AI systems align with ethical principles and institutional goals.

By integrating ethical considerations into practical decision-making tools, the framework empowers universities to harness AI’s potential while mitigating risks and maintaining trust. This initiative reflects the growing need for higher education to adapt to AI’s transformative impact responsibly.