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Generative AI: MARCs of Intelligence
Hear Professor Bert Baumgaertner speak about abstractions and reasoning corpus (ARC) 2 p.m. Oct. 7, on the Library first floor.
Graduate Writing Symposium – Crafting a Compelling Teaching Philosophy
We will cover the various uses of generative AI in graduate level writing, as well as the ethics of using AI in your academic writing. Additionally, we will cover the new graduate school AI policy for academic writing to make students aware of the official university stance—this will include how improper use of AI will be identified and what actions can be taken against students who use AI improperly in their academic work while at UI. In the second session, we will cover the basics of what a teaching statement is and how to write one.
Who owns the future? Artificial intelligence and intellectual property
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.
Teaching AI Literacy, what is and isn’t working
Teaching AI Literacy, what is and isn’t working
Thursday, November 7
12:30-1:30 p.m. PT
Buchanan Engineering Lab 205
Modern Day Oracles or Bullshit Machines: Teaching and Learning in a ChatGPT World
Carl Bergstrom
Time: April 13, 10:30-11:20
Location: TLC 029
The course takes a collaborative learning approach to a fundamental question grounded in the humanities: how can we learn and thrive with LLMs?Generative-AI Capabilities and Ethics in Qualitative Research (Tech Talk)
Monday, October 27, 2025 1:30pm – 2:30pm
n this workshop, we will discuss five ‘genres’ of generative-AI and their applications to qualitative research, highlight current integrations of generative-AI into computer-assisted qualitative data analysis tools and applications (CAQDAS), and explore ethical issues associated with and implications for using these tools.
