Most students have heard about AI, but do they know how it works? Do they know its strengths and weaknesses? Do they know how to access the risk, and how to design countermeasures to mitigate risk?
The AI Conundrum is required reading in a range of courses from Business Analytics to Journalism. From Computer Science intro to AI to Public Health Communications. Our goal is to share teaching materials to increases understanding and ethical use of AI.
If you have a specific way you are teaching The AI Conundrum, contact us and share your materials with other instructors. You could win one of 10 cash prizes.
Inaugural course in progress.
What students are saying in their written reviews:
"I give this read five stars because, ultimately, it is a great blend of entertaining and witty while also being extremely informative. I appreciate that the book tackles the incredibly complex subject of AI in a digestible way that anyone can gain insight from. I would recommend this to anyone interested in the topic, regardless of their level of familiarity with artificial intelligence, machine learning, or any related subject."
"For someone pretty uninformed about AI (only really knowing about some of the hype) this book provided amazing background, context, examples, and explanations of how AI has limitations and why those limitations happen. However, at times it dives deep into an explanation revolving around math that is pretty hard to grasp unless you kind of already understand those topics. I understand that it might need to be done this way and that it's more on me, but I wish it was a little more simplified."
(AUTHOR NOTE: We are revising the math section to make the nine pages that explain how AI works more accessible to those that aren't confident in math).
"Part 1 was particularly great because I think it was overly simple and used different examples that helped me understand a complex topic."
"I enjoyed the dive into the two heads behind the book and their individual backgrounds. I also loved the discussion of AI's relation to optical illusions, such as the checkers board light illusion. Finally, I loved the discussion about the challenge AI has recognizing diversity, as well as its inherent bias; I thought your take on the topic was very nuanced and gave an objective description of it, rather than making it in any way politicized (as many outlets who discuss that subject tend to do)."
Extra Credit assignment: Read Part 1, and apply the AI Risk Framework to a use case example selected by the student. Explain the risk and countermeasures the student would apply and why.
Assignment: Read Part 1 and Chapters 10 & 11 in Part 2.
Discuss why AI polarizes, and how the business model for media contributes to polarization. Discuss how misinformation spreads, and potential strategies to increase media literarcy.
Most text books explain the code, but leave out the deeper explanation of AI's strengths and weaknesses. Part 1 of The AI Conundrum does an excellent job in augmenting the technical text books on AI by offering a more complete understanding of how AI works. Part 3 does an excellent job at explaining AI Bias and offering specific approaches to mitigating bias.
Contact us and we will happily provide materials and collaborate.
A one day course, built around The AI Conundrum, assigns the book as pre-read, and then gets executives hands on with AI, paralleling Part 1, in the morning. Before the lunch break, executives analyze an AI business case using the AI Risk Framework, as well as the cost/benefit analysis of AI vs. the Next Best Alternative. In the afternoon, sessions focus on building an AI Governance framework, and evaluating specific use cases to identify weak points and to consider countermeasures to mitigate risk.
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