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Titlebook: Work in the Future; The Automation Revol Robert Skidelsky,Nan Craig Book 2020 The Editor(s) (if applicable) and The Author(s), under exclus

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樓主: interleukins
11#
發(fā)表于 2025-3-23 09:49:01 | 只看該作者
Attitudes to Technology: Part 2ive impacts on employment in the so-called ‘short-run’ can sometimes last for decades. Since automation mostly happens via simplification of the task in question, its impact is often underestimated. It is therefore likely that automation will harm a large number of workers in the future. However, te
12#
發(fā)表于 2025-3-23 17:57:25 | 只看該作者
13#
發(fā)表于 2025-3-23 20:53:47 | 只看該作者
Possibilities and Limitations for AI: What Can’t Machines Do?lies to humans. There are no fundamental technical limitations on the level of intelligence that software can achieve. However, in the near term, advances in AI will continue to be incremental, and we should be realistic about the speed of development. The existence of creative or art-making AI rais
14#
發(fā)表于 2025-3-23 22:36:09 | 只看該作者
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發(fā)表于 2025-3-24 04:49:44 | 只看該作者
16#
發(fā)表于 2025-3-24 06:59:45 | 只看該作者
Book 2020ical, technological, ethical and anthropological aspects of the debate. The transition to an automated society brings with it new challenges and a consideration for what has happened in the past; the editors of this book carefully steer the reader through future possibilities and policy outcomes, al
17#
發(fā)表于 2025-3-24 14:27:24 | 只看該作者
18#
發(fā)表于 2025-3-24 17:56:05 | 只看該作者
Patterns and Types of Work in the Past: Part 2 the argument that automated systems can effectively replace human labour, rather than supplementing them. We should be selective in the adoption of technology so that we supplement and augment human creativity and skills without undermining them.
19#
發(fā)表于 2025-3-24 23:02:29 | 只看該作者
20#
發(fā)表于 2025-3-25 02:39:36 | 只看該作者
Possibilities and Limitations for AI: What Can’t Machines Do?nces in AI will continue to be incremental, and we should be realistic about the speed of development. The existence of creative or art-making AI raises questions around authenticity, influence, the purpose of art and evaluation.
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