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A Multidimensional Taxonomy for Recent Trends in Explainable Artificial Intelligence

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Progress in Artificial Intelligence (EPIA 2024)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 14968))

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Abstract

With the pervasive integration of Artificial Intelligence (AI) into various facets of society, concerns regarding its transparency and interpretability have gained prominence, particularly in critical or citizen-facing applications. The field of Explainable Artificial Intelligence (XAI) has witnessed rapid growth in response to these concerns, with recent research endeavors focusing on elucidating the inner workings of AI systems. We present a bibliometric study encompassing recent developments in XAI since 2020. We identify seven distinct areas of application where XAI methodologies have been applied. Furthermore, we propose a multidimensional taxonomy that categorizes these approaches and applications, aiming to contribute to the ongoing efforts towards the standardization and uniformization of XAI practices. By shedding light on the current landscape of research and offering a structured taxonomy for analysis, we expose under and over-explored techniques, and encourage the employment and development of diversified approaches for XAI.

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Notes

  1. 1.

    tinyurl.com/google-photos-gorilla-tag.

  2. 2.

    www.ted.com/talks/joy_buolamwini_how_i_m_fighting_bias_in_algorithms.

  3. 3.

    tinyurl.com/hiring-algorithms-bias.

  4. 4.

    openai.com/index/faulty-reward-functions/.

  5. 5.

    tinyurl.com/cambridge-analytica-scandal.

  6. 6.

    gdpr.eu/.

  7. 7.

    artificialintelligenceact.eu/.

  8. 8.

    www.scopus.com/home.uri.

  9. 9.

    www.vosviewer.com/.

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Author information

Authors and Affiliations

  1. Centre for Informatics and Systems of the University of Coimbra, Department of Informatics Engineering, University of Coimbra, Coimbra, Portugal

    Isabel Carvalho, Hugo Gonçalo Oliveira & Catarina Silva

  2. Intelligent Systems Associate Laboratory (LASI), Coimbra, Portugal

    Isabel Carvalho, Hugo Gonçalo Oliveira & Catarina Silva

Authors
  1. Isabel Carvalho
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  2. Hugo Gonçalo Oliveira
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  3. Catarina Silva
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Corresponding author

Correspondence to Isabel Carvalho .

Editor information

Editors and Affiliations

  1. University of Minho, Braga, Portugal

    Manuel Filipe Santos

  2. University of Minho, Braga, Portugal

    José Machado

  3. University of Minho, Braga, Portugal

    Paulo Novais

  4. University of Minho, Braga, Portugal

    Paulo Cortez

  5. Polytechnic Institute of Viana do Castelo, Viana do Castelo, Portugal

    Pedro Miguel Moreira

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Carvalho, I., Gonçalo Oliveira, H., Silva, C. (2025). A Multidimensional Taxonomy for Recent Trends in Explainable Artificial Intelligence. In: Santos, M.F., Machado, J., Novais, P., Cortez, P., Moreira, P.M. (eds) Progress in Artificial Intelligence. EPIA 2024. Lecture Notes in Computer Science(), vol 14968. Springer, Cham. https://doi.org/10.1007/978-3-031-73500-4_23

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  • DOI: https://doi.org/10.1007/978-3-031-73500-4_23

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