Machine learning in tutorials – Universal applicability, underinformed application, and other misconceptions:
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In this article, the authors present a machine learning approach to infer rules from data, which has become a key component of contemporary information systems, unlike prior information systems explicitly programmed in formal languages.Abstract:
Machine learning has become a key component of contemporary information systems. Unlike prior information systems explicitly programmed in formal languages, ML systems infer rules from data. This p...read more
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From promise to practice: towards the realisation of AI-informed mental health care.
TL;DR: Barwick et al. as discussed by the authors explored the promises and challenges of artificial intelligence (AI)-based precision medicine tools in mental health care from clinical, ethical, and regulatory perspectives, and provided recommendations on how these challenges could be addressed from an interdisciplinary perspective to pave the way towards a framework for mental healthcare care, leveraging the combined strengths of human intelligence and AI.
Journal ArticleDOI
What is ‘critical’ in critical studies of edtech? Three responses
TL;DR: In this paper, the authors describe their focus in Learning, Media and Technology as the "critical analysis of the social, cultural and political aspects of digital media production, consumption, technology and culture in e...
Proceedings ArticleDOI
Auditing the Biases Enacted by YouTube for Political Topics in Germany
TL;DR: In this paper, the applicability of laws that require broadcasters to give important political, ideological, and social groups adequate opportunity to express themselves in the broadcasted program of the service was explored.
Proceedings ArticleDOI
Auditing the Biases Enacted by YouTube for Political Topics in Germany
TL;DR: In this article, the applicability of laws that require broadcasters to give important political, ideological, and social groups adequate opportunity to express themselves in the broadcasted program of the service is explored.
Journal ArticleDOI
Unpaid labour in online freelancing platforms: between marketization strategies and self-employment regulation
Claudia Mara,Valeria Pulignano +1 more
TL;DR: In this article , the authors point out the mechanisms produced at the interface between platforms' marketization strategies and the regulation of self-employment in national contexts to explain the way in which unpaid labour unfolds in online freelancing platform work.
References
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Journal ArticleDOI
Some studies in machine learning using the game of checkers
TL;DR: In this article, two machine learning procedures have been investigated in some detail using the game of checkers, and enough work has been done to verify the fact that a computer can be programmed so that it will lear...
Journal ArticleDOI
Knowing in Practice: Enacting a Collective Capability in Distributed Organizing
TL;DR: In this article, the authors outline a perspective on knowing in practice which highlights the essential role of human action in knowing how to get things done in complex organizational work and suggest that the competence to do global product development is both collective and distributed, grounded in the everyday practices of organizational members.
MonographDOI
Algorithms of Oppression: How Search Engines Reinforce Racism
TL;DR: Noble's Algorithms of Oppression: How Search Engines Reinforce Racism is devastating as mentioned in this paper, which reduces to rubble the notion that technology is neutral and ideology-free.
Journal ArticleDOI
How the machine ‘thinks’: Understanding opacity in machine learning algorithms
TL;DR: In this paper, the authors consider the issue of opacity as a problem for socially consequential mechanisms of classification and ranking, such as spam filters, credit card fraud detection, search engines, news, etc.
Journal ArticleDOI
Power to the People: The Role of Humans in Interactive Machine Learning
TL;DR: It is argued that the design process for interactive machine learning systems should involve users at all stages: explorations that reveal human interaction patterns and inspire novel interaction methods, as well as refinement stages to tune details of the interface and choose among alternatives.