August 2020
Beginner
344 pages
10h 23m
English
Content preview from 97 Things About Ethics Everyone in Data Science Should Know
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O’Reilly covers everything we've got, with content to help us build a world-class technology community, upgrade the capabilities and competencies of our teams, and improve overall team performance as well as their engagement.I wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.I’ve been on the O’Reilly platform for more than eight years. I use a couple of learning platforms, but I'm on O'Reilly more than anybody else. When you're there, you start learning. I'm never disappointed.I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.
Chapter 7. Understanding Passive Versus Proactive Ethics
Bill Schmarzo
Several friends have challenged me to get involved in the AI ethics discussion. I certainly do not have any special ethics training. But then again, maybe I do. I’ve been going to church most Sundays (not just on Christmas Eve) since I was a kid, and have been taught a multitude of “ethics” lessons from the Bible. So, respectfully, let me take my best shot at sharing my thoughts about the critical importance of the AI ethics topic.
What Is AI Ethics?
Ethics is defined as the moral principles that govern a person’s behavior or actions—the principles of “right and wrong” that are generally accepted by an individual or a social group. “Right or wrong” behaviors are not easily codified in a simple mathematical equation. And this is what makes the AI ethics discussion so challenging and so important.
To understand the AI ethics quandary, one must first understand how an AI model makes decisions:
The AI model relies on the creation of “AI rational agents” that interact with the environment to learn the rewards and penalties associated with actions.
The rewards and penalties against which the “AI rational agents” seek to make the “right” decisions are framed by the AI utility function.
To create an “AI rational agent” that makes the “right” decision, the AI utility function ...
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I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.