Blue collar with tie
A human-centered reformulation of the ironies of automation
Bibliographic Data
| ID | 20397646 |
|---|---|
| Authors | Norman Meisinger (0000-0002-9070-6001, Zeppelin Universität gemeinnützige GmbH, corresponding author) |
| Year | 2023 |
| Volume | 38 |
| Issue | 6 |
| Pages | 2653-2657 |
| Publication date | 2023-12-01 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | AI & Society (JOURNAL) |
| Journal identifiers | ISSN: 0951-5666 • E-ISSN: 1435-5655 |
| Publisher | Springer Science and Business Media LLC (PUBLISHER) |
| DOI | 10.1007/s00146-021-01320-y |
| OpenAlex | W4210763160 |
| Language | EN |
| Citations received | 1 |
| References cited | 21 |
When Lisanne Bainbridge wrote about counterintuitive consequences of the increasing human–machine interaction, she concentrated on the resulting issues for system performance, stability, and safety. Now, decades later, however, the automized work environment is substantially more pervasive, sophisticated, and interactive. Current advances in machine learning technologies reshape the value, meaning, and future of the human workforce. While the ‘human factor’ still challenges automation system architects, inconspicuously new ironic settings have evolved that only become distinctly evident from a human-centered perspective. This brief essay discusses the role of the human workforce in human–machine interaction as machine learning continues to improve, and it points to the counterintuitive insight that although the demand for blue-collar workers may decrease, exactly this labor class increasingly enters more privileged working domains and establishes itself henceforth as ‘blue collar with tie.’
Automation · Counterintuitive · Epistemology · Political science · Sociology · Workforce · Computer Science · Digital Transformation in Industry · Engineering · Ethics and Social Impacts of AI · Law · Artificial Intelligence · Mechanical Engineering
Ironies of automation
The future of employment
Coping with Descartes’ error in information systems
In search of the computer-aided craftsman
Artifictional intelligence
The epistemic opacity of autonomous systems and the ethical consequences
The human-centred movement
Machine and person
The AI doctor will see you now
Prediction paradigm
From machine learning to machine teaching
Knowledge hiding in organizations
The science of artificial intelligence and its critics
Recommender systems and their ethical challenges
| Unique citing works | 1 |
|---|---|
| Citations per year | 0,5 |
| Citation span | 2024 - 2024 (1) |
| Citation velocity | recent |
| Highly cited | No |
| Citation types | Neutral: 1 |