Keyword Analysis & Research: explainable artificial intelligence


Keyword Analysis

Keyword CPC PCC Volume Score Length of keyword
explainable artificial intelligence0.070.413808535
explainable0.990.75956611
artificial1.180.942026910
intelligence1.24146347412

Keyword Research: People who searched explainable artificial intelligence also searched

Keyword CPC PCC Volume Score
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Search Results related to explainable artificial intelligence on Search Engine

  • What is Explainable AI (XAI)? | IBM

    ibm.com

    https://www.ibm.com/topics/explainable-ai

    WEBNov 28, 2019 · Explainable artificial intelligence (XAI) is a set of processes and methods that allows human users to comprehend and trust the results and output created by machine learning algorithms. Explainable AI is used to describe an AI model, its expected impact and potential biases.

    DA: 17 PA: 80 MOZ Rank: 4

  • Explainable artificial intelligence - Wikipedia

    wikipedia.org

    https://en.wikipedia.org/wiki/Explainable_artificial_intelligence

    WEBExplainable AI ( XAI ), often overlapping with Interpretable AI, or Explainable Machine Learning ( XML ), either refers to an artificial intelligence (AI) system over which it is possible for humans to retain intellectual oversight, or refers to the methods to achieve this.

    DA: 47 PA: 76 MOZ Rank: 90

  • Explainable Artificial Intelligence (XAI): Concepts, taxonomies

    sciencedirect.com

    https://www.sciencedirect.com/science/article/pii/S1566253519308103

    WEBJun 1, 2020 · “An explainable Artificial Intelligence is one that produces explanations about its functioning”) would fail to fully characterize the term in question, leaving aside important aspects such as its purpose. To build upon the completeness, a definition of explanation is first required.

    DA: 35 PA: 59 MOZ Rank: 74

  • Explainable Artificial Intelligence - DARPA

    darpa.mil

    https://www.darpa.mil/program/explainable-artificial-intelligence

    WEBThe Explainable AI (XAI) program aims to create a suite of machine learning techniques that: Produce more explainable models, while maintaining a high level of learning performance (prediction accuracy); and; Enable human users to understand, appropriately trust, and effectively manage the emerging generation of artificially intelligent partners.

    DA: 21 PA: 91 MOZ Rank: 9

  • DARPA's explainable AI (XAI) program: A retrospective

    wiley.com

    https://onlinelibrary.wiley.com/doi/full/10.1002/ail2.61

    WEBDec 4, 2021 · Defense Advanced Research Projects Agency (DARPA) formulated the explainable artificial intelligence (XAI) program in 2015 with the goal to enable end users to better understand, trust, and effectively manage artificially intelligent systems. In 2017, the 4-year XAI research program began.

    DA: 78 PA: 10 MOZ Rank: 72

  • Explainable artificial intelligence: a comprehensive review

    springer.com

    https://link.springer.com/content/pdf/10.1007/s10462-021-10088-y.pdf

    WEB1 Introduction. Articial intelligence (AI) has been considered the most prevalent technology over the last couple of decades. According to a report by the International Data Corpora- tion (IDC), the AI global expenditures are forecasted to reach nearly $100 billion in 2023, which is more than double the spending of $37.5 billion in 2019 (IDC 2020).

    DA: 14 PA: 96 MOZ Rank: 92

  • Explainable artificial intelligence: a comprehensive review - Springer

    springer.com

    https://link.springer.com/article/10.1007/s10462-021-10088-y

    WEBNov 18, 2021 · Explainable artificial intelligence: a comprehensive review. Published: 18 November 2021. Volume 55 , pages 3503–3568, ( 2022 ) Cite this article. Download PDF. Dang Minh, H. Xiang Wang, Y. Fen Li & Tan N. Nguyen. 17k Accesses. 135 Citations. 1 Altmetric. Explore all metrics. Abstract.

    DA: 21 PA: 9 MOZ Rank: 52

  • [2107.07045] Explainable AI: current status and future directions

    arxiv.org

    https://arxiv.org/abs/2107.07045

    WEB[Submitted on 12 Jul 2021] Explainable AI: current status and future directions. Prashant Gohel, Priyanka Singh, Manoranjan Mohanty. Explainable Artificial Intelligence (XAI) is an emerging area of research in the field of Artificial Intelligence (AI).

    DA: 20 PA: 14 MOZ Rank: 80

  • Explainable artificial intelligence: a comprehensive review

    acm.org

    https://dl.acm.org/doi/10.1007/s10462-021-10088-y

    WEBExplainable artificial intelligence: a comprehensive review. Authors: Dang Minh. , H. Xiang Wang. , Y. Fen Li. , Tan N. Nguyen. Authors Info & Claims. Artificial Intelligence Review Volume 55 Issue 5 Jun 2022 pp 3503–3568 https://doi.org/10.1007/s10462-021-10088-y. Published: 01 June 2022 Publication History. 19. 0. Metrics. Total Citations 19.

    DA: 60 PA: 16 MOZ Rank: 32

  • Explainable Artificial Intelligence: Concepts, Applications, Research

    springer.com

    https://link.springer.com/chapter/10.1007/978-3-030-57321-8_1

    WEBAug 18, 2020 · Explainable Artificial Intelligence: Concepts, Applications, Research Challenges and Visions. Luca Longo, Randy Goebel, Freddy Lecue, Peter Kieseberg & Andreas Holzinger. Conference paper. First Online: 18 August 2020. 6850 Accesses. 72 Citations. Part of the book series: Lecture Notes in Computer Science ( (LNISA,volume …

    DA: 80 PA: 29 MOZ Rank: 97