Day 1: Introductions
An opening session introducing the DetectAIves program, workshop goals, and how AI already appears in everyday tools such as search engines, recommendations, and voice assistants.
Workshops
The DetectAIves Workshop Program
The DetectAIves Workshop Program helps older adults better understand artificial intelligence in everyday life through discussions, demonstrations, and student-led activities.
How It Works
The Workshop Model
DetectAIves uses an intergenerational learning model that brings together undergraduate students, graduate mentors, faculty researchers, community organizers, and older adult community members. Workshops are built around conversation, shared learning, and practical examples rather than technical jargon.
Three-Week Format
The Winter 2025 program was organized as a three-week workshop series with multiple sessions each week. Each session introduced a new AI concept while building on previous topics through examples, reflection, and interactive activities.
Community-Centered Design
Workshop content was shaped by participant interests and concerns, including misinformation, scams, privacy, trust, and how AI affects daily life. Sessions were designed to be approachable, relevant, and responsive to community feedback.
Public Presentations
At the end of the program, student teams presented projects inspired by workshop conversations and participant needs. These final presentations highlighted tools, educational resources, and research focused on improving AI literacy.
Instructional Content
Winter 2025
Workshop Lectures and Sessions
The Winter 2025 workshop series introduced participants to the core ideas behind artificial intelligence through accessible presentations and discussion-based learning. Topics moved from foundational concepts to real-world applications, ethics, and how to evaluate AI-generated content.
Sessions were guided by the AI4K12 Five Big Ideas in AI, a nationally recognized
framework that explains AI through key concepts such as perception, representation
and reasoning, learning, natural interaction, and societal impact.
Framework:
AI4K12 Five Big Ideas in AI.
Day 2: Perception
Focused on how AI systems use data from images, sound, and text to recognize patterns, identify objects, and respond to the world around them.
Day 3: Representation & Reasoning
Explored how AI organizes information, uses rules or probabilities, and makes decisions based on available data.
Day 4: Learning
Covered how AI systems improve over time through examples, training data, and feedback, including discussions about bias and mistakes.
Day 5: Natural Interaction
Examined tools such as chatbots, translation systems, and voice assistants that allow people to interact with AI using natural language.
Day 6: Societal Impact
A closing session on ethics, misinformation, trust, privacy, and how communities can engage with AI responsibly and confidently.
Upcoming
Summer 2026 Workshop
Upcoming • Registration Details Coming Soon
DetectAIves Sprintern Program, Summer 2026
June 1 – July 10, 2026
The next DetectAIves cohort will bring undergraduate students together to build tools, resources, and research projects that help people better understand artificial intelligence. The program focuses especially on older adults and community members navigating rapidly changing technology.
Students may participate as full-time hourly Program Assistants or through independent study. All participants must be in person at the University of Maryland for the full program.
Inaugural Cohort
Winter 2025 Workshop
Completed
DetectAIves Sprintern Program
Winter 2025 • Three-Week Cohort
The Winter 2025 cohort marked the launch of the DetectAIves Sprintern Program. Over three weeks, five undergraduate students worked alongside researchers and community members to create projects focused on AI literacy, trust, accessibility, and real-world use of emerging technology.
Looking Ahead
Future Workshops
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Get in Touch About Future Programs