Aktiviteter pr. år
Abstract
According to Clifford Geertz, the purpose of anthropology is not to explain culture but to explicate it. That should cause us to rethink our relationship with machine learning. It is, we contend, perfectly possible that machine learning algorithms, which are unable to explain, and could even be unexplainable themselves, can still be of critical use in a process of explication. Thus, we report on an experiment with anthropological AI. From a dataset of 175K Facebook comments, we trained a neural network to predict the emoji reaction associated with a comment and asked a group of human players to compete against the machine. We show that a) the machine can reach the same (poor) accuracy as the players (51%), b) it fails in roughly the same ways as the players, and c) easily predictable emoji reactions tend to reflect unambiguous situations where interpretation is easy. We therefore repurpose the failures of the neural network to point us to deeper and more ambiguous situations where interpretation is hard and explication becomes both necessary and interesting. We use this experiment as a point of departure for discussing how experiences from anthropology, and in particular the tension between formalist ethnoscience and interpretive thick description, might contribute to debates about explainable AI.
Originalsprog | Engelsk |
---|---|
Tidsskrift | Big Data & Society |
Vol/bind | 9 |
Udgave nummer | 1 |
Sider (fra-til) | 1-14 |
Antal sider | 14 |
ISSN | 2053-9517 |
DOI | |
Status | Udgivet - 2022 |
Fingeraftryk
Dyk ned i forskningsemnerne om 'The Thick Machine: Anthropological AI Between Explanation and Explication'. Sammen danner de et unikt fingeraftryk.Aktiviteter
- 3 Foredrag og præsentationer i privat eller offentlig virksomhed
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From data science as anthropology to anthropology as data science
Munk, A. (Oplægsholder)
23 sep. 2022Aktivitet: Foredrag og mundtlige bidrag › Foredrag og præsentationer i privat eller offentlig virksomhed
Fil -
Thick Machines: Data science and machine learning in ethnography
Munk, A. (Oplægsholder)
17 jun. 2022Aktivitet: Foredrag og mundtlige bidrag › Foredrag og præsentationer i privat eller offentlig virksomhed
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What are digital and computational anthropological methods
Munk, A. (Oplægsholder)
8 okt. 2021Aktivitet: Foredrag og mundtlige bidrag › Foredrag og præsentationer i privat eller offentlig virksomhed
Publikation
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Friction by Machine: How to Slow Down Reasoning with Computational Methods
Madsen, A. K., Munk, A. K. & Søltoft, J. I., 2023, I: EPIC Proceedings. s. 82-105Publikation: Bidrag til tidsskrift › Konferenceartikel i tidsskrift › Forskning › peer review
Åben adgangFil -
Anders Kristian Munk on Anthropology in Business with Matt Artz
Munk, A. K. (Producent) & Artz, M. (Producent), dec. 2022Publikation: Bidrag der ikke har en tekstform › Lyd og/eller billed produktion (digital) › Formidling
Åben adgang -
Beyond Issue Publics? Curating a Corpus of Generic Danish Debate in the Dying Days of the Facebook API
Munk, A. K. & Olesen, A. G., 2020, I: STS Encounters - DASTS working paper series. 11, 1, s. 59-88 16 s.Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › peer review
Åben adgang