In short
Mitacs permits generative AI in developing, writing, or editing proposals. Applicants who use it are expected to follow the FASTER principles. They should not enter confidential or proprietary information into AI systems. They remain responsible for the accuracy and originality of the proposal. Reviewers are not allowed to put proposal content into generative AI systems.
Permits AI. Applicants may use AI and stay responsible for what they submit.
For applicants
- Mitacs expects every project participant who uses generative AI to develop, write, edit, or improve a proposal to learn the FASTER principles of AI (Fair, Accountable, Secure, Transparent, Educated, Relevant), as adopted by the Treasury Board of Canada Secretariat (see Appendix A). Participants should apply them as appropriate when preparing the proposal. [1]
- Applicants should not enter confidential or proprietary information into generative AI systems. These platforms cannot guarantee security or privacy, so they carry a potential risk of data breaches or leaks. [1]
- Applicants to Mitacs programs are ultimately responsible and accountable for the content of the proposals they submit. This covers the accuracy of all information in the submission and the originality and novelty of the project. [1]
For reviewers
- Reviewers are prohibited from entering content from Mitacs proposals into generative AI systems. [1]
Sources
Mitacs expects all project participants who use generative AI to develop, write, edit, or improve a proposal for Mitacs funding to familiarize themselves with the FASTER principles of AI (i.e., Fair, Accountable, Secure, Transparent, Educated, Relevant), as adopted by the Treasury Board of Canada Secretariat (see Appendix A) and to incorporate them appropriately when preparing their proposal.
Avoid inputting confidential/proprietary information in generative AI systems, considering that these platforms cannot guarantee security or privacy and therefore present a potential risk of data breaches or leaks.
Applicants to Mitacs programs are ultimately responsible and accountable for the content of proposals they submit to Mitacs, including ensuring the accuracy of all information included in the submission and the originality and novelty of the presented project.
As such, reviewers are prohibited from inputting content from Mitacs proposals into generative AI systems.
This page summarizes what the funder has published and is not legal advice. Policies change, and one solicitation can add its own rules. Confirm against the funding announcement before you apply.