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From the course: Learning XAI: Explainable Artificial Intelligence (2019)

Explainable AI: Expanding the frontiers of artificial intelligence

From the course: Learning XAI: Explainable Artificial Intelligence (2019)

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Explainable AI: Expanding the frontiers of artificial intelligence

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- [Aki] Welcome, I am very excited that you decided to join me today for this course on Explainable AI. Have you ever asked questions like which is smarter, humans or AI? What might be the next big thing after AI? Is it possibles for humans and computers to get along better, or what in the world is Explainable AI? Then stay tuned, we're going to dig into the fascinating world of AI. Their strengths and weaknesses, the ways that humans can better work together with them, and, of course, what Explainable AI is. Although AI can be a powerful tool, one of its biggest drawbacks is that it cannot tell you why it made a certain decision or recommendation. It is essentially a black box. XAI is a type of AI that will also give us insight into the reasons why an outcome was recommended. In this course, we'll talk about what it is, how it works, why you might use it, how you could benefit from it, and what you should do about it. My name is Aki Ohashi, and I am a Director of Business Development for the Palo Alto Research Center, or PARC, the Xerox Research Center that invented technology such as the personal computer, laser printer, ethernet, and the graphical user interface. Today, PARC continues to conduct research in some of the world's most advanced technologies, including printed electronics, optoelectronics, AI and machine learning, Blockchain, as well as Explainable AI. At PARC, I oversee business development for all of our clients in Asia-Pacific, and Australia and New Zealand. With some of the largest companies in the world, many of these companies are already deeply involved in AI technology, and some have started their journey into XAI. We've got a lot to cover, so let's get going.

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