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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

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

Privacy

Privacy & Security framework for responsible use of GenAI

AI and Data Privacy and Security

Privacy Policy - University of Engineering and Technology, Lahore

Chatbot Privacy Notice

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 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.

At the University of Chicago, use of confidential data with publicly available generative AI tools is prohibited without prior security and privacy review. This includes personally identifiable employee data, FERPA-covered student data, HIPAA-covered patient data, and research that is not yet publicly available.

Use of generative AI tools at MIT must comply with all applicable federal and state laws and orders (including FERPA, HIPAA, Massachusetts Data Protection Standards, export control laws, and the Executive Order on Safe, Secure, and Trustworthy Development and Use of AI), Institute policies (including 10.1 Academic and Research Misconduct, 11.0 Privacy and Disclosure of Personal Information, and 13.0 Information Policies), Information Protection guidelines, and the Institute's Written Information Security Program (WISP), plus any additional policies established by the user's department, lab, center, or institute (DLCI).

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.

UC Berkeley's Office of Ethics, Risk and Compliance provides centralized resources and guidance on the ethical and appropriate use of artificial intelligence, specifically generative AI, with a focus on privacy and compliance with existing laws and policies.

Penn users should not input moderate or high-risk Penn data (per the Penn Data Risk Classification) or intellectual property into AI tools without careful consideration of data use policies, a protective contract, and review by Penn's Privacy Office and Office of Information Security.

Cornell's AI course policy icons include a 'PP' (Privacy Protecting) icon indicating that generative AI use is permitted but no copyrighted or proprietary class materials should be uploaded unless otherwise specified.

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.