When AI Gets in the Way: Designing for Struggle in the Age of the Helpful Assistant
12-1 pm ET Wednesday, Feb 11, 2026, online
When AI Gets in the Way: Designing for Struggle in the Age of the Helpful Assistant
12-1pm ET Wednesday, Feb 11, 2026, online
Generalist AI is built to remove friction—it does the work, delivers polished answers, and makes everything easier. That's great for productivity, but it's a problem for learning. This session introduces a counterintuitive approach: AI interactions designed to be difficult. We'll explore how "Friction Bots"—goal-blocked simulations that don't resolve easily—can assess critical thinking, persistence, and adaptability in ways traditional assignments cannot. The transcript becomes the assessment. The struggle becomes the skill.
Mike Kentz is the founder of AI Literacy Partners and creator of Friction Labs, a platform that builds AI simulations designed to challenge rather than assist. A former journalist and current adjunct faculty member at Fairleigh Dickinson University in New Jersey, he works at the intersection of AI, pedagogy, and assessment design. His work focuses on "productive friction"—using AI to create cognitive resistance that builds skills rather than bypasses them. Mike is an EDSAFE AI Catalyst Fellow, a TEDx alum, and is currently pursuing graduate research on AI's impact on creativity.
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When AI Gets in the Way: Designing for Struggle in the Age of the Helpful Assistant 12-1pm ET Wednesday, Feb 11, 2026, online Generalist AI is built to remove friction—it does the work,...
https://ubalt.zoom.us/webinar/register/WN_dYzLv4tPSH2XkV3m_xNLkA#/registration
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UMBC AI
https://dev.my.umbc.edu/groups/umbc-ai
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UMBC AI
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Wed, 04 Feb 2026 08:46:57 -0500
Refusing Generative AI in College Writing Instruction
12-1pm Wednesday, February 11, 2026 online
A Conversation with Maggie Fernandes, Megan McIntyre, and Jennifer Sano-Franchini
Hear diverse perspectives on genAI in higher education
Please note: This session is open to UMBC faculty and staff only
Join the FDC for an online conversation with the scholars who created
Refusing Generative AI in Writing Studies. The speakers will share how and why they decided to create the document as well as its impact as a rhetorical intervention. They will address stock arguments in support of generative AI adoption in the classroom before offering some practical teaching strategies for negotiating some of the challenges that generative AI poses for education. Teachers from all disciplines who assign writing, who are interested in learning about diverse perspectives on generative AI in higher education, and who are interested in resisting Big Tech's incursion in higher education may benefit from attending this teaching talk.
Maggie Fernandes is an Assistant Professor of Rhetoric and Composition at the University of Arkansas.
Megan McIntyre is the Director of the Program in Rhetoric and Composition and an Assistant Professor at the University of Arkansas.
Jennifer Sano-Franchini is the Gaziano Family Legacy Professor of Rhetoric and Writing Studies and an associate professor of English at West Virginia University.
This event is co-sponsored by UMBC's Faculty Development Center, Department of Education, and Dresher Center for the Humanities.
Get more information and register
here.
Join UMBC's
Shahin Hossain 7-8pm EST on Tuesday, January 13, 2026, for this interactive 60-minute webinar exploring practical strategies for integrating AI into K-16 classrooms This session provides evidence-based approaches to enhance student learning, foster critical thinking, and prepare learners for an AI-driven future while maintaining academic integrity and equity.
You'll gain a comprehensive understanding of the AI landscape (ChatGPT, Claude,
MagicSchool), explore real-world impacts on teaching and workforce readiness, learn what 64% of students are requesting, formal AI training and clear guidelines, and discover practical frameworks for tool selection and ethical governance. The session includes a hands-on walkthrough for building your custom GPT chatbot and actionable strategies you can implement immediately in your classroom.
Bring your laptop and course materials to walk away with fresh inspiration and actionable strategies for the spring semester. Join
John Schumacher (USM GenAI Pedagogy Fellow & SAPH) and
Kerrie Kephart (FDC) for this three-hour session on Friday, January 16 from 9am to 12pm in
ILSB room 116a.
Generative AI for Graduate Students & Post Docs
See how generative AI can augment your grad school journey via interactive demonstrations, applications and sandboxing
This session provides guided, hands-on experience with tools like
Gemini, Gemini Deep Research, and
Google NotebookLM and is designed to boost your learning, writing, and critical thinking. You'll try out real prompts, experiment with workflows, and see how
Gen AI can help you
brainstorm, organize research, and
assess insights. Framed by principles of
ethical and
responsible Gen AI use, you will be ready to integrate Gen AI thoughtfully into your academic practice.
UMBC Professor John Schumacher will lead this session. Dr. Schumacher is the Director of the Public Health Research Center (PHRC) of CAHSS and a Professor in the Department of Sociology, Anthropology, and Public Health (SAPH). He is also currently serving as a University System of Maryland Generative AI Pedagogy Fellow 2025-2026.
Sponsored by UMBC's Office of Graduate Student and Postdoc Professional Development
UMBC Training Centers and AFCEA Central Maryland Emerging Leaders are teaming up to provide a condensed 2-hour free version of UMBC Training Center's AI Essentials workshop, which offers a well-rounded survey of AI for relative newcomers to the field. The free course will cover:
• AI & Generative AI fundamentals
• Survey of public & open-source models
• Multi-modal systems & prompt engineering
• AI applications in data analysis & visualization
• AI tools for image & media generation
• All delivered through a blend of lectures and live demonstrations.
This workshop is designed for entry-level learners with basic internet and Microsoft Office/Google Workspace skills who are looking to transition into AI-related roles or enhance their career prospects with AI knowledge. No prior AI experience required. If you attend, you will gain:
• A clear, practical foundation in AI concepts and tools
• Hands-on exposure to generative and multi-modal systems
• Real-world insights on how AI is applied in data, media, visualization
• A powerful learning experience to boost your professional profile
Location: UMBC Training Centers, 6996 Columbia Gateway Drive Ste 100, Columbia, MD 21046
Wikipedia from the World: Grounded Articles from Any Source
Alexander Martin, JHU
4-5:15pm EST Monday, Nov. 24 in ITE229 and online
Whether tracking emerging events, analyzing economic trends, or understanding public discourse, valuable information is scattered across modalities, from professionally produced news content and curated Wikipedia articles to firsthand footage of disasters livestreamed on social media. Building systems that can effectively retrieve, reason over, and synthesize these heterogeneous information sources is essential for knowledge-intensive applications.
This talk will focus on advancing both sides of the information-seeking pipeline: retrieving relevant multimodal evidence at scale, and synthesizing that evidence into coherent, Wikipedia-style explanations grounded in verifiable evidence. For retrieval, we will focus on recent progress in large-scale
multimodal retrieval, including new dataset, efficient and scalable first-stage retrieves, and reasoning reranking. In Wikipedia-style article generation, we will cover benchmarking and evaluating multimodal article generation and a method for enabling the use of
VLMs for high-level reasoning. Together, these components outline a path toward unified systems capable of transforming large collections of multimodal evidence into verifiable, human-readable articles.
Alexander Martin is a PhD candidate at Johns Hopkins University’s Center for Language and Speech Processing (
CLSP) and Human Language Technology Center of Excellence (
HLTCOE). He is advised by Dr. Benjamin Van Durme. Alex’s research focuses on end-to-end multimodal information retrieval and reasoning. His work aims to produce Wikipedia-style articles, grounded in retrieved documents and videos, in response to information seeking queries. His research has been published in CVPR, ACL, NAACL, and EMNLP. Alex is a recipient of the NSF’s Graduate Research Fellowship.
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Wikipedia from the World: Grounded Articles from Any Source Alexander Martin, JHU 4-5:15pm EST Monday, Nov. 24 in ITE229 and online Whether tracking emerging events, analyzing economic...
https://www.tejasgokhale.com/seminar.html
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UMBC
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Mon, 17 Nov 2025 08:14:06 -0500
The Privacy Paradox of GenAI: What It Knows, Why It Matters, and How We Fight Back
Roberto Yus, 12-1pm Wed. Nov 5, 2025, online
The Privacy Paradox of GenAI: What It Knows, Why It Matters, and How We Fight Back
Roberto Yus, 12-1pm Wed. Nov 5, 2025, online
Generative AI (GenAI) systems like ChatGPT, Claude, and Gemini are transforming how we work, communicate, and create, but they also pose serious privacy concerns. These systems often absorb sensitive inputs, operate atop opaque training data, and may retain more than users realize. The real paradox is this: while GenAI can compromise our privacy, it can also be harnessed to help protect it.
This talk explores both sides of that paradox. We begin by examining what these systems "know", from how everyday prompts may reveal personal or proprietary information to how models process, store, or share data. We then discuss why these risks matter, both for individuals and institutions navigating a rapidly shifting AI landscape. But this is not just a critique, it's a call to action. We'll share practical recommendations for using GenAI tools more safely and privately. Then, we'll turn to new research from the DAMS Lab that flips the script: using GenAI to interpret and explain complex corporate privacy policies, empowering users to make informed, privacy-conscious decisions. This talk is for anyone who wants to benefit from GenAI without surrendering control over their data, and who sees privacy not as a casualty of AI progress, but as a challenge AI itself can help us solve.
Roberto Yus is an Assistant Professor in UMBC's CSEE Department, where he leads the DAMS (DAta Management & Semantics) research group. His research interests concern Data Management, Knowledge Representation, the Internet of Things, and Privacy. Specifically semantic and privacy preserving data management in IoT environments.
Online
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The Privacy Paradox of GenAI: What It Knows, Why It Matters, and How We Fight Back Roberto Yus, 12-1pm Wed. Nov 5, 2025, online Generative AI (GenAI) systems like ChatGPT, Claude, and Gemini are...
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UMBC AI
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UMBC AoK Library
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flyer for ai talk by Roberto Yus, 11/5/2025
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Mon, 03 Nov 2025 08:41:30 -0500
Sat, 08 Nov 2025 11:48:57 -0500
Generative AI in Teaching I: Literacy and Foundations New
7-8pm EST Monday, Nov. 3, 2025, online
Generative AI in Teaching I: Literacy and Foundations
7-8pm EST Mon, Nov. 3, 2025, online
This session introduces the basics of generative AI and its implications for teaching and learning. It focuses on AI literacy by examining what these tools are, what they can and cannot do, basic prompting, ethical & responsible use, and how they may impact classroom practice. Participants will see short demos of ChatGPT, Gemini, Perplexity, and have time for Q&A. This is a reprise of the workshop held by Dr. John Schumacher, in October.
Get more information and register here.
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Generative AI in Teaching I: Literacy and Foundations 7-8pm EST Mon, Nov. 3, 2025, online This session introduces the basics of generative AI and its implications for teaching and learning. It...
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UMBC AI
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Sat, 01 Nov 2025 14:27:18 -0400
AI in Graduate & Postdoctoral Research: Leveraging Gemini, 10/24
Online session with Dr. Anupam Joshi, 2:30-3:30 Fri. Oct 24
Dr. Anupam Joshi, UMBC's Vice Provost and Chief AI Officer, will lead an interactive session to help graduate students and postdocs see how they can enhance their scholarly work with Google's Gemini systems. The session will give participants a chance to engage with the Gemini platform, experiment, and get help in overcoming obstacles to see what it can do.
Initial post had the wrong link.
Members of the UMBC community can register for the event here.
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Dr. Anupam Joshi, UMBC's Vice Provost and Chief AI Officer, will lead an interactive session to help graduate students and postdocs see how they can enhance their scholarly work with Google's...
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UMBC AI
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Wed, 22 Oct 2025 10:57:06 -0400
Wed, 22 Oct 2025 11:02:28 -0400