Artificial Intelligence and Society

Dates: October 5-26, 2021

Meets: Tues. from 3:00 PM to 5:00 PM

Location: Bozeman, MT - Hope Lutheran Church

OLLI Member: $50.00


Enrollment requires a 2021 - 2022 OLLI at MSU Membership

This course examines the main subfields of artificial intelligence in terms of what AI can and cannot do, where the current state-of-the-art stands and how AI systems are impacting society. The course includes discussions about AI from an "agent-based" perspective and considers ethical ramifications of the emerging pervasiveness of AI in products and services used by the general public.

Apply for a needs-based scholarship to take this offering.

Fee:   $50.00

Bozeman, MT - Hope Lutheran Church

2152 Graf St Bozeman, MT 59718

John Sheppard

John Sheppard is a Norm Asbjornson College of Engineering Distinguished Professor of Computer Science at Montana State University. He holds a Ph.D. in computer science from Johns Hopkins University and performs research in probabilistic graphical models, deep learning, evolutionary and swarm-based algorithms, distributed optimization, and applications to system-level test, diagnosis and predict health. In 2007, he was elected as an IEEE Fellow "for contributions to system-level diagnosis and prognosis."
Date Day Time Location
10/05/2021Tuesday3 PM to 5 PM Bozeman, MT - Hope Lutheran Church
10/12/2021Tuesday3 PM to 5 PM Bozeman, MT - Hope Lutheran Church
10/19/2021Tuesday3 PM to 5 PM Bozeman, MT - Hope Lutheran Church
10/26/2021Tuesday3 PM to 5 PM Bozeman, MT - Hope Lutheran Church

  • Define and recognize the main types of AI systems based on the history of AI and the current state-of-the-art.
  • Weigh the costs and benefits of employing AI technologies in various sectors, including defense, finance, health care, e-commerce, travel, etc.
  • Evaluate the impact of AI systems on our society by considering the intersection of technology and ethics, especially as it responds to societal needs.
  • Explore and consider some of the philosophical implications of developing AI systems, such as the likelihood of a "singularity" occurring.


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