Balancing AI Efficiency With Privacy: Streamlining Admin Processes While Protecting Sensitive Data

Description  Overview As generative AI becomes increasingly integrated into higher education, safeguarding sensitive student and faculty data is more critical than ever. While AI-driven tools offer immense opportunities to enhance efficiency and innovation, they also bring challenges related to data privacy, ethical usage, and maintaining confidentiality. Addressing these challenges is essential for institutions to create a responsible and secure educational environment. In this webinar, participants will learn best practices for securely inputting sensitive information into AI systems while maintaining strict privacy controls. They will also explore the ethical implications of generative AI, such as bias, misinformation, and transparency, and gain practical strategies to address these issues within their institutions. Additionally, participants will discover how to ensure AI-generated content complies with confidentiality requirements, protecting institutional data integrit