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Workplace health surveillance, the collection and analysis of health data on workers, is challenging for AI because labor data are often reported in aggregate and does not provide breakdowns between different types of work, and is focused on economic data such as wages and employment rates rather than skill content of jobs. Proxies for skill ...
This measure of technological innovation is widely used in empirical research, since it does not rely on the assumption that only technology affects long-run productivity, and fairly accurately captures output variation based on input variation. However, there are limitations with direct measures such as R&D.
The effects of a specific technology is often not only dependent on how it is used – e.g. its usage context – but also predetermined by the technology's design or characteristics, as in the theory of "the medium is the message" which relates to media-technologies in specific.
Some economists and sociologists have criticized Rifkin for being one of the major contributors to the "end of work" discourse and literature of the 1990s. Autonomist political philosopher George Caffentzis concluded that Rifkin's argument is flawed because it is based on a technological determinism that does not take into account the dynamics of employment and technological change in the ...
The ethics of technology is an interdisciplinary subfield of ethics that analyzes technology's ethical implications and explores ways to mitigate the potential negative impacts of new technologies. There is a broad range of ethical issues revolving around technology, from specific areas of focus affecting professionals working with technology ...
Artificial intelligence (AI), in its broadest sense, is intelligence exhibited by machines, particularly computer systems.It is a field of research in computer science that develops and studies methods and software that enable machines to perceive their environment and use learning and intelligence to take actions that maximize their chances of achieving defined goals. [1]
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Gloria Janet Mark is an American psychologist. She is Chancellor's professor in the Department of Informatics at University of California, Irvine. [1] She is the author of the 2023 book, Attention Span [2], has published over 200 scientific research articles [3] and is noted for her research on Social computing and the social impacts of Digital media.