Explainable artificial intelligence: Difference between revisions

Revision as of 00:40, 8 October 2017

Revision as of 14:39, 2 November 2017

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== External links ==

* [{{cite web | title=‘Explainable Artificial Intelligence’: Cracking open the black box of AI | website=Computerworld | date=2017-11-02 | url=https://www.computerworld.com.au/article/617359/explainable-artificial-intelligence-cracking-open-black-box-ai/ ‘Explainable| Artificialref={{sfnref Intelligence’:| CrackingComputerworld open| the2017}} black| box of AI]access-date=2017-11-02}}

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

* {{cite web | title=Explainable AI: Making machines understandable for humans | website=Explainable AI: Making machines understandable for humans | url=https://explainableai.com/ | ref={{sfnref | Explainable AI: Making machines understandable for humans}} | access-date=2017-11-02}}

* [http://explainableai.com/ Explainable AI - International Research Group]

* [{{cite web | title=End-to-End Deep Learning for Self-Driving Cars | website=Parallel Forall | date=2016-08-17 | url=https://devblogs.nvidia.com/parallelforall/deep-learning-self-driving-cars/ End-to-End| Deepref={{sfnref Learning| forParallel Self-DrivingForall Cars]| 2016}} | access-date=2017-11-02}}

* [{{cite web | title=Explaining How End-to-End Deep Learning Steers a Self-Driving Car | website=Parallel Forall | date=2017-05-23 | url=https://devblogs.nvidia.com/parallelforall/explaining-deep-learning-self-driving-car/ Explaining| Howref={{sfnref End-to-End| DeepParallel LearningForall Steers| a2017}} Self| access-Driving Car]date=2017-11-02}}

* [{{cite web | title=New isn't on its way. We're applying it right now. | website=Accenture | date=2016-10-25 | url=https://www.accenture.com/us-en/blogs/blogs-nicola-morini-bianzino-responsible-ai/ | ref={{sfnref | Accenture's Responsible| AI2016}} Imperative]| access-date=2017-11-02}}

* {{cite web | last=Knight | first=Will | title=DARPA is funding projects that will try to open up AI’s black boxes | website=MIT Technology Review | date=2017-03-14 | url=https://www.technologyreview.com/s/603795/the-us-military-wants-its-autonomous-machines-to-explain-themselves/ | ref=harv | access-date=2017-11-02}}

* [https://www.pwc.co.uk/services/audit-assurance/insights/responsible-ai-how-to-build-trust-and-confidence.html/ PWC - Responsible AI]

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