Interview with an AIer
This chapter included some of the main leaders in AI and a couple of interviews with them. There were a couple items that stood out to me from these interviews:
Jim Spohrer, IBM: Jim was a true realist in the terms of working with AI. He understood that every person can have a role to play and his main piece of advice was to find a mentor, or someone to help you find your fit. He explained the importance of having a T-shaped person; someone who can work with the technical but also has relevant communication skills.
Irving Wladawsky-Berger: This man has optimism with an understanding of growing pains. This interview focused on how AI can and will change the workforce. Irving is optimistic that in the long run the effects of AI on the workforce will not be detrimental, but acknowledges that the short term may see some set-backs before the world adjusts to this new automation.
Finally: I think of the point Jim Spohrer makes early in the interview that, "with enough data and enough computer power, pattern recognition models can be developed that are as good as individual people (typically 5% error rates) and in some cases super-human performance levels." (2018) I found this information to be mis-leading. My understanding of programming is a case of if/then statements. An AI model will only be as good as the code in place. With that I wonder, mostly skeptically on the recent news of the Google employee who was placed on administrative leave, article below:
https://news.yahoo.com/google-engineer-leave-claims-ai-124338899.html?fr=yhssrp_catchall
Kelsey, Todd: Surfing the Tsunami: An Introduction to Artificial Intelligence and Options for Responding
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