• Archaeological Practice and Digital Automation

    Author(s):
    Jeremy Huggett (see profile)
    Date:
    2022
    Item Type:
    Book chapter
    Tag(s):
    digital archaeology, archaeological knowledge, automation, artificial intelligence, machine learning
    Permanent URL:
    https://doi.org/10.17613/97j8-cy12
    Abstract:
    This chapter examines the extent to which archaeological tasks can be devolved to software or software-driven machines. It identifies three variants of automation: augmentation, automatization, and heteromation, and argues that each is visible within current and developing archaeological practice. Although far removed from a fully automated archaeologist, efforts in fields such as artificial intelligence and machine learning are increasingly complementing and supporting archaeological practice, and their developing use within ceramic classification and identification systems is discussed as an example. The implications of these kinds of systems are identified in terms of transparency, explainability, authority, and the need for ethics development. Ultimately, a digital participatory turn for archaeology is proposed, which seeks to ensure that the human practitioner retains critical influential and strategic oversight, rather than delegating responsibility to automated devices.
    Notes:
    Pre-peer review preprint
    Metadata:
    Published as:
    Book chapter    
    Status:
    Published
    Last Updated:
    4 months ago
    License:
    Attribution

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