From the course: Building a Responsible AI Program: Context, Culture, Content, and Commitment

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The big three: Privacy, bias, and explainability

The big three: Privacy, bias, and explainability

From the course: Building a Responsible AI Program: Context, Culture, Content, and Commitment

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The big three: Privacy, bias, and explainability

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- We can think about privacy, bias, and explainability as the big three AI ethics issues. The ones that come up over and over again. Focusing on the big three in your responsible AI program is a little like applying the 80-20 rule. We'll be able to catch the majority of the most common problems. For example, think about checking into a hotel that is using a facial recognition system instead of a key. A biometric data scan of your face will be the way in which you unlock your door and gain access to other hotel amenities. Is it reasonable for a hotel to use a facial recognition system in order to gain access to rooms and amenities? You'd be sharing a lot of personal data with that hotel, raising all kinds of privacy concerns. The hotel would also be taking on a lot of risk in managing this highly sensitive biometric data. This scenario raises many issues around privacy, especially since using your face as a key seems to be mandatory at this hotel. Privacy is the most mature area of…

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