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Towards a Social Artificial Intelligence

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Human-Centered Artificial Intelligence (ACAI 2021)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 13500))

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Abstract

Artificial Intelligence can both empower individuals to face complex societal challenges and exacerbate problems and vulnerabilities, such as bias, inequalities, and polarization. For scientists, an open challenge is how to shape and regulate human-centered Artificial Intelligence ecosystems that help mitigate harms and foster beneficial outcomes oriented at the social good. In this tutorial, we discuss such an issue from two sides. First, we explore the network effects of Artificial Intelligence and their impact on society by investigating its role in social media, mobility, and economic scenarios. We further provide different strategies that can be used to model, characterize and mitigate the network effects of particular Artificial Intelligence driven individual behavior. Secondly, we promote the use of behavioral models as an addition to the data-based approach to get a further grip on emerging phenomena in society that depend on physical events for which no data are readily available. An example of this is tracking extremist behavior in order to prevent violent events. In the end, we illustrate some case studies in-depth and provide the appropriate tools to get familiar with these concepts.

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Notes

  1. 1.

    https://github.com/GiulianoCornacchia/ACAI_SAI_Tutorial.

  2. 2.

    https://gpai.ai/.

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Author information

Authors and Affiliations

  1. Umeå University, Umeå, Sweden

    Frank Dignum

  2. University of Pisa, Pisa, Italy

    Dino Pedreschi, Virginia Morini & Giuliano Cornacchia

  3. Scuola Normale Superiore, Pisa, Italy

    Valentina Pansanella

  4. KDD Lab ISTI-CNR, Pisa, Italy

    Virginia Morini, Valentina Pansanella & Giuliano Cornacchia

Authors
  1. Dino Pedreschi
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  2. Frank Dignum
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  3. Virginia Morini
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  4. Valentina Pansanella
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  5. Giuliano Cornacchia
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Corresponding author

Correspondence to Virginia Morini .

Editor information

Editors and Affiliations

  1. Sorbonne University, Paris, France

    Mohamed Chetouani

  2. Umeå University, Umeå, Sweden

    Virginia Dignum

  3. German Research Centre for Artificial Inteligence, Kaiserslautern, Germany

    Paul Lukowicz

  4. Artificial Intelligence Research Institute (IIIA-CSIC), Bellaterra, Spain

    Carles Sierra

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Pedreschi, D., Dignum, F., Morini, V., Pansanella, V., Cornacchia, G. (2023). Towards a Social Artificial Intelligence. In: Chetouani, M., Dignum, V., Lukowicz, P., Sierra, C. (eds) Human-Centered Artificial Intelligence. ACAI 2021. Lecture Notes in Computer Science(), vol 13500. Springer, Cham. https://doi.org/10.1007/978-3-031-24349-3_21

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  • DOI: https://doi.org/10.1007/978-3-031-24349-3_21

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-24348-6

  • Online ISBN: 978-3-031-24349-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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