[Webinar] AI, Algorithms, and Academic Data: Legal Risks & Privacy Strategies
As artificial intelligence reshapes how institutions analyze, predict, and intervene with student data, the legal stakes are rising. This webinar explores the intersection of AI with FERPA (Family Educational Rights and Privacy Act), GDPR (General Data Protection Regulation), and emerging state laws.
Understanding the Legal Landscape
The rapid evolution of AI technology introduces significant legal challenges for educational institutions. With the increasing use of algorithms to handle sensitive student information, compliance with regulations such as FERPA and GDPR becomes crucial. Institutions must navigate these laws carefully to avoid potential pitfalls.
Key Areas of Focus
This webinar will provide practical guidance on several critical aspects:
- AI Governance: Establishing frameworks to ensure ethical use of AI in academic settings.
- Vendor Contracts: Understanding the implications of contracts with AI vendors and ensuring compliance.
- Algorithmic Bias: Identifying and mitigating bias in AI algorithms to promote fairness in student outcomes.
- Oversight: Implementing oversight mechanisms to monitor AI applications and their impact on student data.
As educational institutions increasingly rely on AI to enhance their operations, staying informed about the legal risks and privacy strategies is essential. This webinar aims to equip attendees with the necessary tools and knowledge to navigate this complex landscape effectively.
