Research

Artificial intelligence and pro-social behaviour


Reference:

Bryson, J., 2015. Artificial intelligence and pro-social behaviour. In: Misselhorn, C., ed. Collective Agency and Cooperation in Natural and Artificial Systems. Berlin: Springer, pp. 281-306. (Philosophical Studies; 122)

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    Official URL:

    http://dx.doi.org/10.1007/978-3-319-15515-9_15

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    Abstract

    If artificial intelligence (AI) were achievable, what would the consequences be for human society?1 Perhaps surprisingly, the answer to this question is already at hand. We are achieving rapid and accelerating success in our quest to build AI. That very success — and the slowness with which both the academic community and the general public have come to recognise it — has shown how little we understand our own intelligence, and its role in our lives and culture. Here I attempt to address this problem of understanding, exploiting a variety of scientific evidence, including social simulation. I begin by reviewing current progress in AI, which is profound but underestimated. I suggest this lack of recognition is due to the mistaken belief that intelligence implies agency. I next examine the related question of human uniqueness: why do only we have language and extensive built culture? I use models and data to show that the propensities to use culture, share information and behave altruistically are neither unique to humans nor inexplicable to biology, but rather our uniqueness hinges on the extent of our capacities for communication and memory. Finally, I apply the impact of AI on extending our intelligence to these theories, to predict—and observe—consequences of AI on human societies and individual human lives. I make and support policy recommendations based on these predictions.

    Details

    Item Type Book Sections
    CreatorsBryson, J.
    EditorsMisselhorn, C.
    DOI10.1007/978-3-319-15515-9_15
    Related URLs
    URLURL Type
    https://www.springer.com/gp/book/9783319155142Publisher
    Uncontrolled Keywordsartificial intelligence; levels of selection; agency; human behavioural ecology; cognition
    DepartmentsFaculty of Science > Computer Science
    Research CentresMedia Technology Research Centre
    Centre for Mathematical Biology
    Publisher StatementBryson_CollectiveAgency14.pdf: The final publication is available at Springer via http://dx.doi.org/10.1007/978-3-319-15515-9_15
    StatusPublished
    ID Code41580

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