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Kai R. Larsen
Professor at University of Colorado, Boulder
Kai R. Larsen is a prominent academic serving as a Professor of Information Systems at the Leeds School of Business, University of Colorado Boulder. He is also a courtesy faculty member in the Department of Information Science within the College of Media, Communication, and Information. In addition to his teaching role, he acts as a Research Advisor to Gallup and holds the position of Associate Editor for MIS Quarterly. Larsen is recognized as a Fellow of the Institute of Behavioral Science and has made significant contributions to the field of information systems, particularly in the areas of technology acceptance and survey response theory.
Larsen's research has garnered considerable attention, with over 10,600 citations to his work. He is known for addressing Edward Thorndike's Jingle Fallacy and for his development of the Semantic Theory of Survey Response (STSR), which emphasizes the linguistic relationships in survey questions. His notable publications include a widely downloaded paper on technology acceptance and a book on Automated Machine Learning published by Oxford University Press in 2021.
He has received accolades such as being named one of the 75 leading Academic Data Leaders of 2022 by CDO Magazine and one of the 50 Best Undergraduate Business Professors of 2023 by Poets and Quants. His innovative teaching methods and commitment to student research have earned him multiple teaching awards. Additionally, he directs the federally supported Human Behavior Project, focusing on creating a theoretical framework for understanding various human behaviors, including technology usage and decision-making processes.
Beyond academia, Larsen has a few personal anecdotes, such as training a Sulfur-crested Cockatoo and participating in a team with Elon Musk during an entrepreneurship competition at a young age.1234
Highlights
ChatGPT for President! 🇺🇸
I'm not political. I don't get involved in politics. However, the Presidential debate that will go down in history along with the Kennedy-Nixon debate made me think about the current state of affairs.
What do we want in our top executive responsible for war, peace, our lives, and the future of humanity (the planet will be fine given enough time to heal)?
- Fast decision making. Crisis events come fast. Seconds matter. ChatGPT is faster than every single human in existence.
- Integration of information. Good decisions don't have to be optimal, but they should be based on as much high-quality information as is available. ChatGPT outperforms the U.S. Presidential candidates.
- Knowledge of the past. Understanding when your opponent is bluffing or lying is critical whether debating or solving world crises. This requires a good memory. #ChatGPTforPresident
- Honesty. ChatGPT now hallucinates less than both the leading candidates during the debate. Thank you, Retrieval Augmented Generation!
- Able to perform without a script. Yes, all politicians use scripts or repeat the same points. When the performance with and without the script diverges too much, it indicates that one is not capable of performing on one's own. ChatGPT can generate its own scripts in milliseconds and perform it exactly as generated.
Sure, there may be some downsides to handing the country over to an A.I., but it seems like a better option than in a long time. Food for thought.
Just a modest thought. #AI #Politics #debate #Biden #Trump

Implication 7/n of ChatGPT for Academia:
How.will.we.prepare.our.students? Now that ChatGPT has shown us the way, the interesting conversation is about how we prepare our students for the whole class of generative A.I.
We have to start thinking of students as agents that interact with other agents, which may or may not be human.
More often, the generative A.I.s are going to interact, with interesting and unanticipated outcomes.
Sometimes on our command, most of the time not. This has been clear on Wall St. for a long time. Artificial agents buy or sell. Other agents react.
For human-directed use of A.I. We'll use one A.I. to direct other A.I.s.
The picture below came from a very simple request of #ChatGPT to create a highly detailed description of a mountain raising out of the sea, and the pasting of that description into #stablediffusion.
How will you prepare your students? #ai #academia
Implication 6/n: https://lnkd.in/g4Jabh2E
