Generative AI and the Future of Work: Augmentation or Automation?

John Zysman; Mark Nitzberg

doi:10.2139/ssrn.4811728

journal article Jan 01, 2024

Generative AI and the Future of Work: Augmentation or Automation?

John Zysman Mark Nitzberg

SSRN Electronic Journal · Elsevier BV

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References

65

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Consistent with the theme of this article, the initial draft, revised and rewritten by Nitzberg and Zysman, was generated by

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Set aside the differing definitions and analytics of the notion of productivity and simply note that it highlights the link between the inputs into the productive economy and its outputs as measured (2025)

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P A David "a point hammered in the literature on the example of the Qwerty keyboard for typing; it is not only the answer that becomes embedded but a solution" Politics & Society (1978)

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/ Zysman (2024)

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winter is, as reported by Wikipedia, a period of reduced funding and interest in AI research. There have been several doubt times between the hype times. -Wikipedia has an article on them

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Laura Tyson and I have presented our views on this. The article notes those on whose work we drew. Tyson & Zysman, Automation, AI & Work. Much of the discussion here, including the language in some cases

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Nor do they consider that apart from the financial costs, these indeed, these tools may be adopted to address labor power. All too often part of the objective of introducing automation is eliminating workers to limit political or union pressures from the union movement

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There are several relevant articles: Why Economists Are at War over Inequality (2023, November), retrieved from (2023)

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B Marr mind-blowing-stats-everyone-should-read/ 30 Many of Alison Gopnik's works support this argument (2018)

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We distinguish existential threats into two categories: Threats generated by the systems acting with, or acting as if they have, actual intent: Systems where a mistaken instruction sets off a debacle

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J Zysman "This discussion of machine learning based AI draws from, quotes, and rephrases two articles by Mark Nitzberg and John Zysman" Journal of European Public Policy (2021)

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J Zysman "The winter was a period where the general public and the sponsors like, DARPA, saw that the paths being followed at the time were not likely to yield results. Knowledge representation systems, expert systems" ?abstract_id=3681088 33 Most estimates of the AI winter (1985)

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In the case of deep reinforcement learning, systems are trained by programming an exploration of the relevant world, such as making legal moves on a chessboard, where a scoring mechanism called a reward function gives a rating of proximity to a desired outcome

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"Training and curating have overlapping meanings: choosing training data, sometimes analyzing the data and pruning out the unwanted stuff. Training requires data. Selecting the data to use for training may be considered part of the whole training process but for the computer programmer, training data is just assumed to be a given. Teaching folks to code is no longer enough. Programmers must understand statistics and experimental design. Hence, "data science" vs" computer science Zysman/Nitzberg (2024)

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John Haltiwanger "Erik Brynjolfsson and Laura Tyson have provided an excellent overview of the productivity and deployment problem: Laura Tyson and Erik Brynjolfsson (co-chairs" NASEM Committee on AI and the Workforce Productivity Effects of AI

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; S Certainly we could test that proposition by carefully calculating tasks in era 1 and setting them against the realities that emerged. That though seems a good deal of work to demonstrate what would seem to be evident. The worlds of work that emerged were not logical extensions of their predecessors (2019)

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J Manyika public%20and%20social%20sector/our%20insights/wha t%20the%20future%20of%20work%20will%20mean%20for%20jobs%20skills%20and%20wages/mgi-jobs-lost-jobsgained-executive-summary (2017)

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Albanesi Reports of AI Ending Human Labour May Be Greatly Exaggerated

[50]

Ibid

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Published: Jan 01, 2024

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Cite This Article

John Zysman, Mark Nitzberg (2024). Generative AI and the Future of Work: Augmentation or Automation?. SSRN Electronic Journal. https://doi.org/10.2139/ssrn.4811728

Generative AI and the Future of Work: Augmentation or Automation?

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