Define two of the five pillars that earn trust from ai

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Reference no: EM133658880

Problem

Borenstein, J., & Howard, A. (2021). Emerging challenges in AI and the need for AI ethics education. AI and Ethics, 1(1), 61-65.

Gray, D. (2019). 10 Reasons Why Analytics & Data Science Projects Fail.

A. In the YouTube video "What is AI," what are the eight categories psychologists have used to describe human intelligence? Which one do you excel at the most?

B. In the YouTube video "What is AI," what are the seven categories computer scientists have used to describe artificial intelligence?

C. In the YouTube video "What is AI Ethics," the speaker in the video lists three things that keep her up at night. What is the third item that keeps her up at night?

D. In the YouTube video "What is AI Ethics," identify and define two of the five pillars that earn trust from AI that stood out to you? Why did you select these two pillars?

E. In the article, "10 Reasons Why Analytics & Data Science Projects Fail," what percentage of data science models get implemented? Do you believe this percentage impacts the data science team's morale? Why or why not?

F. In the article, "10 Reasons Why Analytics & Data Science Projects Fail," identify two of the ten reasons projects fail and explain how training can resolve the issue and what type of training would you recommend?

G. In the article, "Emerging challenges in AI and the need for AI ethics education," identify two of the emerging ethical challenges or examples circulating around AI listed in the article that could impact you and explain how they could affect you.

Reference no: EM133658880

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