Machine Learning practices and infrastructures
- URL: http://arxiv.org/abs/2307.06518v2
- Date: Tue, 25 Jul 2023 04:46:56 GMT
- Title: Machine Learning practices and infrastructures
- Authors: Glen Berman
- Abstract summary: This paper focuses on interactions between practitioners and the tools they rely on, and the role these interactions play in shaping Machine Learning practices.
I find that interactive computing platforms are used in a host of learning and coordination practices.
I describe how ML practices are co-evolving alongside the development of interactive computing platforms.
- Score: 0.0
- License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
- Abstract: Machine Learning (ML) systems, particularly when deployed in high-stakes
domains, are deeply consequential. They can exacerbate existing inequities,
create new modes of discrimination, and reify outdated social constructs.
Accordingly, the social context (i.e. organisations, teams, cultures) in which
ML systems are developed is a site of active research for the field of AI
ethics, and intervention for policymakers. This paper focuses on one aspect of
social context that is often overlooked: interactions between practitioners and
the tools they rely on, and the role these interactions play in shaping ML
practices and the development of ML systems. In particular, through an
empirical study of questions asked on the Stack Exchange forums, the use of
interactive computing platforms (e.g. Jupyter Notebook and Google Colab) in ML
practices is explored. I find that interactive computing platforms are used in
a host of learning and coordination practices, which constitutes an
infrastructural relationship between interactive computing platforms and ML
practitioners. I describe how ML practices are co-evolving alongside the
development of interactive computing platforms, and highlight how this risks
making invisible aspects of the ML life cycle that AI ethics researchers' have
demonstrated to be particularly salient for the societal impact of deployed ML
systems.
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