Algorithms as fetish: Faith and possibility in algorithmic work
TLDR
In this paper, a robotic vacuum cleaner is used to transform the ordinary, such as snapshots along a robot vacuum cleaner's route, into something more complex, like a map of the environment.Abstract:
Algorithms are powerful because we invest in them the power to do things. With such promise, they can transform the ordinary, say snapshots along a robotic vacuum cleaner’s route, into something mu...read more
Citations
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Journal ArticleDOI
Transparency you can trust: Transparency requirements for artificial intelligence between legal norms and contextual concerns:
TL;DR: It is proposed to understand transparency relationally, where information provision is conceptualized as communication between technology providers and users, and where assessments of trustworthiness based on contextual factors mediate the value of transparency communications.
Journal ArticleDOI
The Challenges of Algorithm-Based HR Decision-Making for Personal Integrity.
Ulrich Leicht-Deobald,Ulrich Leicht-Deobald,Thorsten Busch,Christoph Schank,Christoph Schank,Antoinette Weibel,Simon Daniel Schafheitle,Isabelle Wildhaber,Gabriel Kasper +8 more
TL;DR: It is suggested that critical data literacy, ethical awareness, the use of participatory design methods, and private regulatory regimes within civil society can help overcome challenges from the efficiency-driven logic of algorithm-based HR decision-making.
Journal ArticleDOI
Evolving netnography: how brand auto-netnography, a netnographic sensibility, and more-than-human netnography can transform your research
TL;DR: The fundamental positioning of netnography as a research method, its marketing-oriented point of difference, relevant to digital humanities artists, library and information scientists, sociologists, cultural anthropologists, marketing practitioners and consumer researchers alike, is also rather clear.
Proceedings ArticleDOI
Monsters, Metaphors, and Machine Learning
Graham Dove,Anne-Laure Fayard +1 more
TL;DR: It is shown how the technology-as-monster metaphor can generatively probe and (re)frame the questions ML poses, and is illustrated through a detailed discussion of an early-stage generative design workshop inquiring into ML approaches to supporting student mental health and well-being.
Journal ArticleDOI
Netnography: Origins, foundations, evolution and axiological and methodological developments and trends
TL;DR: A review of the available literature about the netnography method, bringing a brief explanation about its emergence and evolution, as well as its characteristics and application, is presented in this article.
References
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Book
Situated Learning: Legitimate Peripheral Participation
Jeanne Lave,Etienne Wenger +1 more
TL;DR: This work has shown that legitimate peripheral participation in communities of practice is not confined to midwives, tailors, quartermasters, butchers, non-drinking alcoholics and the like.
Journal ArticleDOI
Plans and situated actions: the problem of human-machine communication
TL;DR: This paper presents a meta-modelling architecture for human-machine communication that automates the very labor-intensive and therefore time-heavy and therefore expensive and expensive process of designing and implementing communication systems.
Journal ArticleDOI
Plans and Situated Actions: The Problem of Human Machine Communication.
Steve Woolgar,Lucy Suchman +1 more
TL;DR: It is concluded that problems in Cognitive Science's theorizing about purposeful action as a basis for machine intelligence are due to the project of substituting plans for actions, and representations of the situation of action, for action's actual circumstances.
Journal ArticleDOI
Big Data's Disparate Impact
Solon Barocas,Andrew D. Selbst +1 more
TL;DR: In the absence of a demonstrable intent to discriminate, the best doctrinal hope for data mining's victims would seem to lie in disparate impact doctrine as discussed by the authors, which holds that a practice can be justified as a business necessity when its outcomes are predictive of future employment outcomes, and data mining is specifically designed to find such statistical correlations.