Explainable artificial intelligence: Difference between revisions

Revision as of 12:14, 17 July 2017

Revision as of 12:16, 17 July 2017

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== Definition ==

A universal definition of this term has yet to have been fully established however the DARPA XAI programmeprogram defines it's aim as the following:

* Produce more explainable models, while maintaining a high level of learning performance (prediction accuracy); and

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== History ==

Since DARPA's introduction of it's program in 2016 a number of initiatives are purportedly beginning to address the issue of algorithmic accountability and provide transparency conerningconcerning how technolgiestechnologies within this ___domain function.

* 25.04.2017: Nvidia publishes it's paper on: "Explaining How a Deep Neural Network Trained with End-to-End Learning Steers a Car" <ref>{{cite web|title=Explaining How a Deep Neural Network Trained with End-to-End Learning Steers a Car|url=https://arxiv.org/pdf/1704.07911.pdf|website=Arxiv|publisher=Arxiv|accessdate=17 July 2017}}</ref>

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Examples of these effects have already been seen:

* NeualNeural Network Tank imaging <ref>{{cite web|title=Neual Network Tank image|url=https://neil.fraser.name/writing/tank/|website=Neil Fraser|publisher=Neil Fraser|accessdate=17 July 2017}}</ref>

* Antenna design ([[Evolved Antenna]]) <ref>{{cite web|title=NASA 'Evolutionary' software automatically designs antenna|url=https://www.nasa.gov/mission_pages/st-5/main/04-55AR.html|website=NASA|publisher=NASA|accessdate=17 July 2017}}</ref>

* Algorithmic trading ([[High-frequency trading]]) <ref>{{cite web|title=The Flash Crash: The Impact of High Frequency

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* [https://www.computerworld.com.au/article/617359/explainable-artificial-intelligence-cracking-open-black-box-ai/ ‘Explainable Artificial Intelligence’: Cracking open the black box of AI]

* [https://arxiv.org/pdf/1612.04757v1.pdf/ Attentive Explanations: Justifying Decisions and Pointing to the Evidence]

* [https://devblogs.nvidia.com/parallelforall/deep-learning-self-driving-cars/ End-to-End Deep Learning for Self-Driving Cars]

* [https://devblogs.nvidia.com/parallelforall/explaining-deep-learning-self-driving-car/ Explaining How End-to-End Deep Learning Steers a Self-Driving Car]

== References ==