The Human Use of Human Beings: Cybernetics and Society

By Norbert Wiener. 1988

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Citations in the corpus

Ethical principles in machine learning and artificial intelligence: cases from the field and possible ways forward (2020, background): “While re ﬂ ections around the ethical implications of machines and automation deployment were already put forth in the ’ 50s and ’ 60s (Samuel, 1959; Wiener, 1988), the increasing use of AI in many ﬁ elds raises new important questions about its suitability (Yu et al., 2018).”
The ethics of algorithms: Mapping the debate (2016, neutral): “Algorithms are inescapably value-laden (Brey and Soraker, 2009; Wiener, 1988).”
A review of the recent contribution of systems thinking to operational research and management science (2010, background): “others and was mainly seen as the scientific study and mathematical modelling for an understanding of regulation and control in any system (Ashby 1956; Wiener 1954; Wiener 1958).”
Algorithmic culture (2015, background): “…clocks and other simple mechanical devices, which function in a manner more or less unattuned to environmental conditions, these machines ‘must be en rapport with the world by sense organs’ and adjust their behavior according to the information they receive (Wiener, 1954: 33; see also pp. 21–22).”
Real Virtuality: A Code of Ethical Conduct. Recommendations for Good Scientific Practice and the Consumers of VR-Technology (2016, background): “To put it more provocatively, we may soon, as Norbert Wiener anticipated many years ago, have the ability to “telegraph” human beings (Wiener, 1954, p. 103–104).”
Resonance in an exemplar-based lexicon: The emergence of social identity and phonology (2006, unknown): “Resonance (Carpenter & Grossberg, 1987) or reentrant mapping (Edelman, 1987), which has precursors in cognitive science at least since Wiener (1950) , is used in this version of the model to provide interaction between auditory, visual, and declarative knowledge representations.”
A tutorial on modeling and analysis of dynamic social networks. Part I (2017, methodology): “Deﬁnition 10.”