Work with Generative AI
Resources for staff
Generative AI offers numerous opportunities to enhance our administrative work. Harvard staff have embraced those opportunities through explorations and pilots across Units and Schools. The Generative AI Administration and Operations Group helps provide visibility into these pilots through the AI Community of Practice wiki (log in with your HarvardKey). This resource page aims to provide Harvard staff and administrators with basic guidance, information on available resources, and contacts. The content will be regularly updated as these technologies continue to evolve. Your feedback is welcome.
Policies and guidance
You should not enter data classified as confidential (Level 2 and above, including non-public research data, finance, HR, student records, medical information, etc.) into publicly-available Generative AI tools, in accordance with the University’s Information Security Policy. Information shared with Generative AI tools using default settings is not private and could expose proprietary or sensitive information to unauthorized parties.
Level 2 and above confidential data must only be entered into Generative AI tools that have been assessed and approved for such use by Harvard’s Information Security and Data Privacy office.
AI-generated content can be inaccurate, misleading, or entirely fabricated (sometimes called “hallucinations”) or may contain copyrighted material. You are responsible for any content that you publish that includes AI-generated material.
Generative AI has made it easier for malicious actors to create sophisticated phishing emails and “deepfakes” (i.e., video or audio intended to convincingly mimic a person’s voice or physical appearance without their consent) at a far greater scale. Continue to follow security best practices and report suspicious messages to phishing@harvard.edu.
Additionally, the University is working to ensure that tools procured on behalf of Harvard have the appropriate privacy and security protections and provide the best use of Harvard funds.
- If you have procured or are considering procuring generative AI tools or have questions, contact HUIT at ithelp@harvard.edu or read more about tools currently available or coming soon.
- Vendor generative AI tools must be assessed for risk by Harvard’s Information Security and Data Privacy office prior to use.
Tips, tools, and best practices
There are many exciting potential use cases for generative AI, including productivity enhancements, creative design, coding, search, and much more. The University supports responsible experimentation with generative AI. Be sure to review the University’s guidelines on safe and effective use and explore the resources below to get started.
Resource spotlight
Videos for staff
Ismael Carreras, Associate Dean for Strategic Analysis for FAS Administration & Finance, discusses his use of generative AI models like ChatGPT and FAS AI Sandbox for tasks such as drafting documents, summarizing long texts, and creating visuals and code.
Learn more and watch other videos on FAS’ Generative AI website