AI Usage at a Glance
Feb 7, 2020
ProductivityPractice documented: UMass Amherst instructors use Gradescope, a grading tool that uses AI to automatically sort similar student answers into groups. Instead of grading each submission one at a time, instructors can grade an entire group of similar responses at once — a major time-saver in classes with hundreds of students.
Practice DocumentedView practice →Nov 1, 2021
Data AnalysisPractice documented: UMass Amherst leads a research center called MassAITC, funded by a $20 million federal grant from the National Institute on Aging, that develops AI tools using wearable sensors and contactless monitoring devices to improve care for older adults and people with Alzheimer's disease.
Practice DocumentedView practice →Oct 2, 2023
OtherPractice documented: UMass Amherst Dining Services piloted AI-driven robots that use cameras and computer vision to automatically identify and sort recyclables from general waste. The technology, developed by UMass engineering alumni, lets a single waste bin receive all materials and then sorts them automatically — removing the burden from individual users to sort correctly.
Practice DocumentedView practice →Aug 8, 2024
Data AnalysisNew evidence: Massachusetts AI and Technology Center for Connected Care in Aging and Alzheimer's Disease Funds 11 Pilot Projects Totaling $2.3 Million
Evidence AddedView practice →Aug 23, 2024
RecommendationPractice documented: UMass Amherst's Canvas course platform now includes an AI-powered search tool called Smart Search that helps students and instructors find relevant course materials more accurately. Unlike a standard keyword search, Smart Search understands the meaning of what you're looking for — so searching for "exam review" might surface a document titled "Test Preparation Guide" even if it doesn't contain the exact words you typed.
Practice DocumentedView practice →Jan 27, 2025
ProductivityNew evidence: Revolutionize Your Grading Workflow with Gradescope
Evidence AddedView practice →Jun 17, 2025
OtherPractice documented: UMass Amherst runs a central "AI at UMass" website and a series of cross-campus working groups that coordinate AI research, teach faculty about AI tools, and develop ethical guidelines for how AI should be used at the university. These groups span the arts, computer science, social sciences, and public interest technology.
Practice DocumentedView practice →Sep 16, 2025
Creative GenPractice documented: UMass Amherst built its own secure AI platform where students, faculty, and staff can generate images using generative AI. Launched in September 2025, the platform runs inside the university's own computing environment so that user data stays private and is never used to train any AI model.
Practice DocumentedView practice →Sep 16, 2025
ProductivityPractice documented: UMass Amherst built a secure AI chat tool — available to all students, faculty, and staff — that lets users chat with multiple AI models and build custom AI assistants for specific tasks. Users can access models from OpenAI, Anthropic (makers of Claude), Meta, Cohere, Mistral, and DeepSeek, all through a single university-managed interface. The platform launched in September 2025.
Practice DocumentedView practice →Sep 17, 2025
ProductivityNew evidence: UMass GenAI Platform Now Available for University Community Use
Evidence AddedView practice →Sep 17, 2025
Creative GenNew evidence: UMass GenAI Platform Now Available for University Community Use
Evidence AddedView practice →Sep 18, 2025
Creative GenPractice documented: UMass Amherst's instructional design team published a formal framework for how fine arts faculty should teach with and about generative AI tools. The guide helps art instructors address questions of authorship, creativity, and the role of AI in the creative process.
Practice DocumentedView practice →Sep 26, 2025
Customer SvcPractice documented: UMass Amherst computer science students built AI-powered tools for Massachusetts state agencies that help members of the public access government services more easily. Projects completed in 2024–2025 include an AI assistant to help people apply for environmental permits, a caller-routing tool for unemployment assistance, and an HR chatbot for a state technology office.
Practice DocumentedView practice →Sep 26, 2025
ProductivityPractice documented: UMass Amherst runs a paid 16-week internship where computer science undergraduates build AI tools to improve real university operations — from teaching and advising to administrative tasks. Each team works with a faculty or staff mentor on a real campus problem and delivers a working tool by the end of the program.
Practice DocumentedView practice →Sep 30, 2025
Customer SvcNew evidence: UMass Students Showcase AI Tools Built for State Agencies
Evidence AddedView practice →UMass Amherst Dining Services piloted AI-driven robots that use cameras and computer vision to automatically identify and sort recyclables from general waste. The technology, developed by UMass engineering alumni, lets a single waste bin receive all materials and then sorts them automatically — removing the burden from individual users to sort correctly.
The pilot deployed technology from rStream, a startup founded by UMass Amherst College of Engineering graduates Ethan Walko and Ian Goodine. The robots use computer vision — a form of AI that allows machines to interpret and understand images — to identify materials in a waste stream in real time and route them to the correct processing category. The company secured a $275,000 NSF Small Business Innovation Research (SBIR) grant and $125,000 from the Massachusetts Clean Energy Center's AmplifyMass program to develop and deploy the technology. This represents a campus operational deployment of AI rather than research alone.
UMass Amherst runs a paid 16-week internship where computer science undergraduates build AI tools to improve real university operations — from teaching and advising to administrative tasks. Each team works with a faculty or staff mentor on a real campus problem and delivers a working tool by the end of the program.
UMass Amherst instructors use Gradescope, a grading tool that uses AI to automatically sort similar student answers into groups. Instead of grading each submission one at a time, instructors can grade an entire group of similar responses at once — a major time-saver in classes with hundreds of students.
UMass Amherst provides Microsoft Copilot Chat to all students, faculty, and staff through the university's existing Microsoft 365 agreement. When used through the university's license, Copilot is the only AI tool that UMass officially recommends for use in assignments that require students to submit AI-assisted work.
UMass Amherst built a secure AI chat tool — available to all students, faculty, and staff — that lets users chat with multiple AI models and build custom AI assistants for specific tasks. Users can access models from OpenAI, Anthropic (makers of Claude), Meta, Cohere, Mistral, and DeepSeek, all through a single university-managed interface. The platform launched in September 2025.
UMass Amherst Dining Services piloted AI-driven robots that use cameras and computer vision to automatically identify and sort recyclables from general waste. The technology, developed by UMass engineering alumni, lets a single waste bin receive all materials and then sorts them automatically — removing the burden from individual users to sort correctly.
UMass Amherst runs a central "AI at UMass" website and a series of cross-campus working groups that coordinate AI research, teach faculty about AI tools, and develop ethical guidelines for how AI should be used at the university. These groups span the arts, computer science, social sciences, and public interest technology.
UMass Amherst established a formal university policy on the use of generative AI in academic work. The default rule is that using AI to do your academic work for you counts as cheating — unless the instructor of a specific course explicitly says otherwise. The policy took effect Fall 2025 and was developed by a faculty task force that studied the issue throughout 2023–2024.
UMass Amherst leads a research center called MassAITC, funded by a $20 million federal grant from the National Institute on Aging, that develops AI tools using wearable sensors and contactless monitoring devices to improve care for older adults and people with Alzheimer's disease.
UMass Amherst operates a university-wide analytics platform called Flagship Analytics, powered by Tableau, that gives administrators and faculty interactive visual dashboards covering enrollment trends, student success data, research metrics, and financial aid patterns. It is used to support data-informed planning and decision-making across the institution.
UMass Amherst uses a platform called Navigate360 to help academic advisors identify students who may be struggling before problems become serious. The system pulls together data about each student's academic history and engagement, flags students who may need support, and helps advisors manage appointments and follow-ups.
UMass Amherst instructors use Perusall, an AI-supported reading platform integrated with Canvas, where students annotate course texts together online. Perusall's AI automatically scores each student's participation — evaluating the quality and depth of their annotations — so instructors don't have to grade hundreds of comments by hand.
UMass Amherst's Canvas course platform now includes an AI-powered search tool called Smart Search that helps students and instructors find relevant course materials more accurately. Unlike a standard keyword search, Smart Search understands the meaning of what you're looking for — so searching for "exam review" might surface a document titled "Test Preparation Guide" even if it doesn't contain the exact words you typed.
UMass Amherst's instructional design team published a formal framework for how fine arts faculty should teach with and about generative AI tools. The guide helps art instructors address questions of authorship, creativity, and the role of AI in the creative process.
UMass Amherst built its own secure AI platform where students, faculty, and staff can generate images using generative AI. Launched in September 2025, the platform runs inside the university's own computing environment so that user data stays private and is never used to train any AI model.
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UMass Amherst runs a central "AI at UMass" website and a series of cross-campus working groups that coordinate AI research, teach faculty about AI tools, and develop ethical guidelines for how AI should be used at the university. These groups span the arts, computer science, social sciences, and public interest technology.
The AI at UMass hub (umass.edu/ai/) aggregates all university AI resources, tools, policies, and research initiatives in one place. Active working groups include the HFA AI and Emerging Technologies Committee (established 2024, covering humanities and fine arts), the CICS AI Safety Initiative (researching safe and ethical AI development, funded in part by a $500,000 Schmidt Sciences grant for multi-agent AI safety), Responsible AI PIT Fellows (a 2025–2026 faculty fellowship funded by the Public Interest Technology Initiative), and a Social and Behavioral Sciences AI series. The AI Safety Initiative focuses on ensuring that systems involving multiple cooperating AI agents behave safely and predictably — a growing concern as AI is deployed in complex real-world environments.
UMass Amherst established a formal university policy on the use of generative AI in academic work. The default rule is that using AI to do your academic work for you counts as cheating — unless the instructor of a specific course explicitly says otherwise. The policy took effect Fall 2025 and was developed by a faculty task force that studied the issue throughout 2023–2024.
The Faculty Senate convened a Joint Task Force on Generative Artificial Intelligence in Academics in AY 2023–2024, which established three guiding principles: the university supports thoughtful use of new technologies; human-to-human interaction remains central to education; and AI must not reduce equitable access, infringe on academic freedom, or compromise privacy or due process. The revised Academic Integrity Policy (effective Fall 2025) formally defines cheating to include "use of unauthorized materials, including generative AI tools, unless explicitly permitted by the instructor." Notably, the university formally discourages the use of AI detection tools — including Turnitin's AI detector — stating they are not reliable for determining academic dishonesty and that they disproportionately flag writing by non-native English speakers.