Vind brononderbouwde AI-beleidsrecords van universiteiten

Privacy & Risk - Generative AI

Data Privacy

Privacy Considerations and Generative AI Tools

Best Practice: Security, Privacy, and Accessibility | Enterprise GenAI | Office of the Chief Information Officer | Illinois

Privacy - Generative AI

Chatbot Privacy Notice

AI and Data Privacy and Security

Guidance on Generative AI and Data Integrity, Privacy, and Security

Privacy

Privacy & Security framework for responsible use of GenAI

Privacy Policy - University of Engineering and Technology, Lahore

Privacy Policy

Privacy Policy

Privacy Policy

Privacy Policy - PIEAS

Privacy Policy PUC-Rio

L'attuazione della normativa in materia di privacy tra GDPR e l'Intelligenza Artificiale

BIRLA INSTITUTE OF TECHNOLOGY AND SCIENCE, PILANI DATA PRIVACY POLICY

Protecting Student Privacy and Your Data

GenAI & Data Privacy

Generative AI on Your Terms: Data and Privacy 101

Generative AI Tools: Privacy and Security

Security and Privacy Statement on Artificial Intelligence | Office of Technology and Digital Innovation

ANU approved six institutional AI principles via Academic Board in June 2023, covering excellence/integrity, research engagement, clear guidance, AI literacy, access/privacy/security, and collaborative policy development.

University-wide: Level 2 and above confidential data (including non-public research data, finance, HR, student records, medical information) should not be entered into publicly-available generative AI tools. Such data may only be entered into generative AI tools that have been assessed and approved by Harvard's Information Security and Data Privacy office.

When AI-supported marking and feedback practices are used, student-facing information should explain why and how AI tools are used, human oversight, academic judgement, and privacy concerns about student data or work.

The University of Edinburgh encourages students to use ELM over external AI platforms because it provides privacy protections and institutional access.

CUHK Library advises users to be aware of privacy policies of AI platforms, to opt out of data being used for model training where possible, and to avoid inputting confidential information into external AI tools.

UWA research-writing guidance says authors are responsible for ensuring inputs to AI tools are suitable for uploading and processing and that use complies with copyright, privacy, ethics, data-sensitivity policies, and legislation.

Students should not upload personal, sensitive, copyrighted, or licensed material to AI tools, as many AI tools cannot guarantee privacy, strong data security, or the protection of intellectual property.