Episode 9: Artificial Intelligence
Update: 2019-03-12
Description
Kevin and Zach return to the booth for the second-to-last installment of CCTea's first season, where they discuss the hot topic of artificial intelligence!
Artificial intelligence (or AI) has become quite the buzzword in today's society. New "smart" devices with machine learning algorithms are integrating into our daily lives at a rapid pace. These machines can sift through unfathomable amounts of data to recognize patterns, predict behavior, and maximize efficiency. While these machines may still be bound by their foundations in binary code, some worry that they are evolving faster than their human creators. Should we be excited? Should we be worried? Today, the tea will tell.
Table of Contents:
0:00 - Intro
1:15 - Semantic Issues with AI
4:45 - The 3 H’s (Hope, Hype, Hysteria)
6:30 - Another H (History)
9:00 - Logic Theorist (1957)
9:45 - The Turing Test (1950)
11:15 - Conversational AI: Automated Communication
14:00 - Sociotechnical Blindness
15:15 - Accountability in the Age of AI
17:20 - Machine Learning
18:20 - Natural Language Processing
22:20 - Exponential Growth of Technology
23:25 - The Future of Work?
25:45 - Importance of Adaptability
26:40 - Kevin’s Cold Take
27:15 - Denouement & gnovicon 2019
Learn more about gnovicon and register to attend here: http://www.gnovisjournal.org/gnovicon-2019/
References
CGP Grey. (2014). Humans Need Not Apply. Retrieved from https://www.youtube.com/watch?v=7Pq-S557XQU
Johnson, D. G., & Verdicchio, M. (2017). Reframing AI Discourse. Minds and Machines, 27(4), 575–590. https://doi.org/10.1007/s11023-017-9417-6
Vincent, J. (2019, March 5). Forty percent of “AI startups” in Europe don’t actually use AI. claims report. The Verge. Retrieved from https://www.theverge.com/2019/3/5/18251326/ai-startups-europe-fake-40-percent-mmc-report
All background music in this episode was created by AI technology from Jukedeck - create your own at http://jukedeck.com.
Artificial intelligence (or AI) has become quite the buzzword in today's society. New "smart" devices with machine learning algorithms are integrating into our daily lives at a rapid pace. These machines can sift through unfathomable amounts of data to recognize patterns, predict behavior, and maximize efficiency. While these machines may still be bound by their foundations in binary code, some worry that they are evolving faster than their human creators. Should we be excited? Should we be worried? Today, the tea will tell.
Table of Contents:
0:00 - Intro
1:15 - Semantic Issues with AI
4:45 - The 3 H’s (Hope, Hype, Hysteria)
6:30 - Another H (History)
9:00 - Logic Theorist (1957)
9:45 - The Turing Test (1950)
11:15 - Conversational AI: Automated Communication
14:00 - Sociotechnical Blindness
15:15 - Accountability in the Age of AI
17:20 - Machine Learning
18:20 - Natural Language Processing
22:20 - Exponential Growth of Technology
23:25 - The Future of Work?
25:45 - Importance of Adaptability
26:40 - Kevin’s Cold Take
27:15 - Denouement & gnovicon 2019
Learn more about gnovicon and register to attend here: http://www.gnovisjournal.org/gnovicon-2019/
References
CGP Grey. (2014). Humans Need Not Apply. Retrieved from https://www.youtube.com/watch?v=7Pq-S557XQU
Johnson, D. G., & Verdicchio, M. (2017). Reframing AI Discourse. Minds and Machines, 27(4), 575–590. https://doi.org/10.1007/s11023-017-9417-6
Vincent, J. (2019, March 5). Forty percent of “AI startups” in Europe don’t actually use AI. claims report. The Verge. Retrieved from https://www.theverge.com/2019/3/5/18251326/ai-startups-europe-fake-40-percent-mmc-report
All background music in this episode was created by AI technology from Jukedeck - create your own at http://jukedeck.com.
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