Questions tagged [explainable-ai]

For questions related to explainable artificial intelligence (XAI), also known as interpretable AI, which refers to AI techniques that can be trusted and easily understood by humans, which are particularly relevant in areas like healthcare or self-driving cars. There are several concepts related to XAI, such as accountability, fairness, and transparency.

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1answer
52 views

Is tabular Q-learning considered interpretable?

I am working on a research project in a domain where other related works have always resorted to deep Q-learning. The motivation of my research stems from the fact that the domain has an inherent ...
2
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1answer
23 views

Is explainable AI more feasible through symbolic AI or soft computing?

Is explainable AI more feasible through symbolic AI or soft computing? How much each paradigm, symbolic AI and soft computing (or hydrid approaches), adresses explanation and argumentation, where ...
2
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1answer
56 views

Which explainable artificial intelligence techniques are there?

Explainable artificial intelligence (XAI) is concerned with the development of techniques that can enhance the interpretability, accountability and transparency of artificial intelligence and, in ...
8
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2answers
231 views

How is the “right to explanation” reasonable?

There has been recent uptick in interest in eXplainable Artificial Intelligence (XAI). Here is XAI's mission as stated on its DARPA page: The Explainable AI (XAI) program aims to create a suite of ...
69
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8answers
11k views

Do scientists know what is happening inside artificial neural networks?

Do scientists or research experts know from the kitchen what is happening inside complex "deep" neural network with at least millions of connections firing at an instant? Do they understand the ...