From the course: AI Accountability: Build Responsible and Transparent Systems (2022)
What is AI accountability?
From the course: AI Accountability: Build Responsible and Transparent Systems (2022)
What is AI accountability?
- [Barton] If you've ever had a photo application tag your family or friends automatically, or if you've had an online map reroute you to avoid traffic, then you've benefited from artificial intelligence or AI. There's so many amazing developments in AI that it's impossible to describe all the ways that it affects your life now and in the future. But it's also worth pointing out that AI is not a universal cure for every problem and that like all developing technologies, it runs into unexpected technical difficulties and introduces new legal, ethical, and social challenges. I'm Barton Poulson, and in this brief course, we'll take a non-technical conceptually-oriented look at the promise and perils of artificial intelligence along with potential solutions to these challenges. We'll explore the different ways that an AI's accuracy can be defined, the effects of bias and training data sets, the way that concepts of fairness and relationships work into AI, and major legal frameworks for AI, as well as how AI operates in life and death situations. We'll also make specific suggestions on how programmers, executives, PR professionals, regulators, and consumers can best approach the challenges of AI. And so, let's get started with AI Accountability Essential Training.
Practice while you learn with exercise files
Download the files the instructor uses to teach the course. Follow along and learn by watching, listening and practicing.
Download courses and learn on the go
Watch courses on your mobile device without an internet connection. Download courses using your iOS or Android LinkedIn Learning app.