Role of Generative Artificial Intelligence (AI) in Accountability, Transparency, and Governance in Higher Education: A Comprehensive Study

2. Theoretical Background And Hypotheses

(Heyder, Passlack, and Posegga 2023) explored the transformative potential of generative AI in reshaping accountability practices within higher education institutions. The paper delved into the capabilities of generative AI algorithms to analyze large datasets, detect patterns, and generate actionable insights that inform decision-making processes. Heyder et. al highlighted the role of generative AI in enhancing transparency through accessible data visualization and communication methods, while also discussing ethical considerations associated with AI deployment. (Dwivedi et al. 2023) examined the promise and perils of integrating AI technologies into governance structures within higher education. The paper discussed how generative AI can automate routine administrative tasks, optimize resource allocation, and facilitate informed decision-making processes. However, they also addressed ethical concerns related to data privacy, algorithmic bias, and the need for transparent and accountable AI systems.