IIDS AI Faculty Fellowship Presentations
IIDS AI Faculty Fellowship Presentations
May 8, 2025 12:30pm – 1:30pm
Data Hub, Library 107
IIDS AI Faculty Fellowship Presentations
May 8, 2025 12:30pm – 1:30pm
Data Hub, Library 107
Barrie Robison, a professor of biological sciences and director of the Institute for Interdisciplinary Data Sciences at the University of Idaho, discusses how artificial intelligence (AI) is being used across campus. Topics include translating historical educational texts, improving university operations through AI, and making artistic content more searchable. He also explores common assumptions about AI…
IIDS AI Faculty Fellowship Presentations
May 1, 2025 12:30pm – 1:30pm
Data Hub, Library 107
U of I has been actively exploring the opportunities and challenges presented by generative AI since it rose to prominence in 2022. In response to its rapid adoption across research, teaching and administrative functions, the university established the Artificial Intelligence Working Group (AIWG) in 2024 to coordinate efforts, gather campus-wide input and develop strategic recommendations….
IIDS AI Faculty Fellowship Presentations
April 24, 2025 12:30pm – 1:30pm
IRIC Atrium
Artificial Intelligence is increasingly used by authors, artists, and creators to assist in the creation of new works. Those same AI systems have been built on the copyrighted work of authors, artists, and creators who never gave permission for their works to be used for this purpose. What are the ethical and legal considerations and consequences of this quickly changing technology? What does this mean for you as a student, scholar, and creator? This session will give an overview of the current technological and legal landscape and provide some questions for you to consider as a user of AI.
The latest frontier “thinking models” can apparently begin to match the reasoning performance of humans. We will do a technical deep dive on the likely underpinnings of the latest generation of frontier reasoning models, including OpenAI’s o1 and o3. We will discuss and implement in Python a simple LLM that uses self-taught reasoning (STR) and Q-learning at both training and inference.
Applications for Statewide AI Lead and Institutional Catalyst are due Wednesday, April 9, 2025.
Popular discourse around generative AI (GenAI) often holds that the technology is revolutionary and will supercharge our productivity in life and work. In this presentation, Tyler will offer some reasons for skepticism about GenAI’s alleged speed and revolutionary potential.
AI ThinkSpace: A Safe Place for Resources on AI. – Navigate AI resources in education with confidence and support.
Location: Web and In-Person