Trouver des dossiers de politiques IA universitaires appuyes par des sources

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

Privacy

Privacy & Security framework for responsible use of GenAI

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

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

Generative AI on Your Terms: Data and Privacy 101

GenAI & Data Privacy

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

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.

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.

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.

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.

UW-Madison states that it has vetted and secured contracts for listed generative AI services that are available university-wide for free and provide higher data security and privacy protection than public services.

University of Toronto teaching guidance says Microsoft Copilot is the recommended generative AI tool to use at U of T and, when signed in with University credentials, conforms to U of T privacy and security standards for use with up to level 3 data.

Boston University faculty and staff guidance says users should avoid inputting or sharing private or sensitive information through commercial GenAI tools because this could violate privacy laws or university policy, and says TerrierGPT is recommended for institutional use but is not approved for restricted use data.

Macquarie's AI policy says University-provided AI tools and systems are subject to privacy, security, intellectual-property, intended-use, and risk-assessment controls.