Re-Engineering Humanity
Open accessAbstract
Every day, new warnings emerge about artificial intelligence rebelling against us. All the while, a more immediate dilemma flies under the radar. Have forces been unleashed that are thrusting humanity down an ill-advised path, one that's increasingly making us behave like simple machines? In this wide-reaching, interdisciplinary book, Brett Frischmann and Evan Selinger examine what's happening to our lives as society embraces big data, predictive analytics, and smart environments. They explain how the goal of designing programmable worlds goes hand in hand with engineering predictable and programmable people. Detailing new frameworks, provocative case studies, and mind-blowing thought experiments, Frischmann and Selinger reveal hidden connections between fitness trackers, electronic contracts, social media platforms, robotic companions, fake news, autonomous cars, and more. This powerful analysis should be read by anyone interested in understanding exactly how technology threatens the future of our society, and what we can do now to build something better.
Integrity signals
Registry
Cites
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Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Algorithmic management carries the risk of treating workers like mere programmable cogs in machines.
“In tune with the long-standing spirit of Taylorism and scientific management, algorithmic management carries the risk of treating workers like mere “programmable cogs in machines” (Frischmann and Selinger, 2018).”
From Algorithmic management in a work context (2021) · cites this paper as Frischmann and Selinger, 2018
Cited by
Sorted by citations
Algorithmic management in a work context
Jarrahi, M. H., Newlands, G., Lee, M. K., Wolf, C. T., Kinder, E., & Sutherland, W. (2021) · Big Data & Society · doi:10.1177/20539517211020332 · Cited by 532 · see citing works
“In tune with the long-standing spirit of Taylorism and scientific management, algorithmic management carries the risk of treating workers like mere “programmable cogs in machines” (Frischmann and Selinger, 2018).”
BackgroundCan artificial intelligence be decolonized?
Adams, R. (2021) · Interdisciplinary Science Reviews · doi:10.1080/03080188.2020.1840225 · Cited by 194 · see citing works
4E cognition and the dogma of harmony
Aagaard, J. (2021) · Philosophical Psychology · doi:10.1080/09515089.2020.1845640 · Cited by 73 · see citing works
The globalization of artificial intelligence: consequences for the politics of environmentalism
Dauvergne, P. (2021) · Globalizations · doi:10.1080/14747731.2020.1785670 · Cited by 72 · see citing works
Farina, M., & Lavazza, A. (2022) · Philosophy & Technology · doi:10.1007/s13347-022-00508-4 · Cited by 40 · see citing works
We, the Data: Human Rights in the Digital Age
Wong, W. H. (2023) · doi:10.7551/mitpress/14703.001.0001 · Cited by 31 · see citing works
- Authors
- Frischmann, B., & Selinger, E.
- Affiliations
- Villanova University (US)
- Rochester Institute of Technology (US)
- ORCID
- Selinger, Evan
- Venue
- Cambridge University Press eBooks
- Publisher
- Cambridge University Press
- Published
- 2018-04-19
- OpenAlex
- W2795880220
- Cited by
- 330
- References
- 0
- Citations by year
- 2026: 21 · 2025: 34 · 2024: 42 · 2023: 74 · 2022: 36 · 2021: 50 · 2020: 29 · 2019: 37 · 2018: 5 · 2017: 1
- FWCI
- 32.53
- Type
- book
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Cambridge University Press eBooks (publishedVersion)
- Topics
- Social Sciences › Safety Research › Ethics and Social Impacts of AI
- Social Sciences › Arts and Humanities › History and Philosophy of Science › Cybernetics and Technology in Society
- Social Sciences › Law › Digitalization, Law, and Regulation
- Keywords
- big data, predictive analytics, smart environments, human-machine interaction, wearable activity trackers, electronic contracts, social networking sites, companion robots, fake news, autonomous vehicles, technology and society
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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
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