What is Transparency in AI?

What does it mean for a machine learning algorithm to be “transparent”?

When looking at fair and ethical algorithms, transparency is a key concept often brought up in discussion. But what exactly does it mean for a machine learning algorithm to be “transparent”?

Like “fairness” and “privacy”, it sounds important and useful, but the concept of transparency is quite ambiguous and is worth exploring in more detail.

When we seek transparent algorithms, we are asking for an understandable explanation of how it works. For example:

Have you ever read an article or watched a lecture that made no sense to you, but made complete sense to your friend/classmate? Likewise, a machine learning system might be understandable to one person, but not another. Thus, we need to consider multiple parties:

For example, developers are hired to build a personalized recommendation system for online shopping. Amazon (or any large e-commerce company) deploys it, which is used by a regular member of the public.

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