It is no surprise that the use of AI in higher education and classroom use has been a topic of interest for state, national, and international media. In an effort to assist faculty teaching courses this summer to identify expectations for AI use in their courses, attached is suggested language regarding the use of AI in the identified course. This will be sent to all faculty teaching this summer, so that they can easily add to a syllabus, and offer students clarity for AI use in each course.
Please note that faculty are encouraged to include the language identified (not required), but most importantly, faculty are asked to clearly identify their expectations of AI use (to no use of AI being acceptable) for each course they teach from the onset of the course.
Syllabus LanguageNSF 24-569: Mathematical Foundations of Artificial Intelligence (MFAI)
The MFAI program seeks to support research collaborations between mathematicians, statisticians, computer scientists, engineers and social behavior scientists to establish innovative and principled design and analysis approaches for AI technology. Research activities should focus on the most challenging mathematical and theoretical questions aimed at understanding the capabilities, limitations, and emerging properties of AI methods as well as the development of novel, and mathematically grounded, design and analysis principles for the current and next generation of AI approaches. The overall goal is to establish innovative and principled design and analysis approaches for AI technology using creative yet theoretically grounded mathematical and statistical frameworks, yielding explainable and interpretable models that can enable sustainable, socially responsible, and trustworthy AI.
This is a joint program involving NSF's Divisions of Mathematical Sciences (MPS/DMS), Computing and Communication Foundations (CISE/CCF), Information and Intelligent Systems (CISE/IIS), Electrical, Communications and Cyber Systems (ENG/ECCS), Civil, Mechanical and Manufacturing Innovation (ENG/CMMI), and Social and Economic Sciences (SBE/SES).
An informational webinar will be held on Wednesday, June 12, 2024 at 4:00 pm Eastern Time.
https://new.nsf.gov/events/mathematical-foundations-artificial-intelligence/2024-06-12
Register in advance for this webinar at:
https://nsf.zoomgov.com/webinar/register/WN_YZJC1Oh_S6CVQ894I7bp-g
Questions about the MFAI solicitation should be directed to: mfai@nsf.gov.
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