Artificial Intelligence Knowledge Representation Community Group, Semantic Web Interest Group, Paola Di Maio, Artificial intelligence and machine learning systems could produce explanation and/or argumentation [1]. Deep learning models can be assembled by interconnecting components [2][3]. Sets of interconnected components can become interconnectable composite components. XAI [4] approaches should work for deep learning models assembled by interconnecting components. We can envision explanations and arguments, or generators for such, forming as deep learning models are assembled from components. What do you think about XAI and deep learning models assembled by interconnecting components? Best regards, Adam Sobieski http://www.phoster.com/contents/ [1] https://www.w3.org/community/argumentation/ [2] https://www.lobe.ai/ [3] https://www.youtube.com/watch?v=IN69suHxS8w [4] https://www.darpa.mil/program/explainable-artificial-intelligence From: Paola Di Maio<mailto:paola.dimaio@gmail.com> Sent: Wednesday, October 31, 2018 9:31 AM To: public-aikr@w3.org<mailto:public-aikr@w3.org>; semantic-web at W3C<mailto:semantic-web@w3c.org> Subject: Toward a web standard for XAI? Just wondering https://www.w3.org/community/aikr/2018/10/31/towards-a-web-standard-for-explainable-ai/
Received on Thursday, 1 November 2018 07:36:09 UTC