Research in Higher Education, Journal Year: 2024, Volume and Issue: 66(1)
Published: Dec. 19, 2024
Language: Английский
Research Policy, Journal Year: 2024, Volume and Issue: 53(5), P. 104989 - 104989
Published: March 23, 2024
Language: Английский
Citations
16
SSRN Electronic Journal, Journal Year: 2024, Volume and Issue: unknown
Published: Jan. 1, 2024
Artificial intelligence (AI) now matches or outperforms human in an astonishing array of games, tests, and other cognitive tasks that involve high-level reasoning thinking. Many scholars argue that—due to bias bounded rationality—humans should (or will soon) be replaced by AI situations involving cognition strategic decision making. We disagree. In this paper we first trace the historical origins idea artificial as a form computation information processing. highlight problems with analogy between computers minds input-output devices, using large language models example. Human cognition—in important instances—is better conceptualized theorizing rather than data processing, prediction, even Bayesian updating. Our argument, when it comes cognition, is AI's data-based prediction different from theory-based causal logic. introduce belief-data (a)symmetries difference use "heavier-than-air flight" example our arguments. Theories provide mechanism for identifying new evidence, way "intervening" world, experimenting, problem solving. conclude discussion implications arguments making, including role human-AI hybrids might play process.
Language: Английский
Citations
10
Strategy Science, Journal Year: 2024, Volume and Issue: unknown
Published: Dec. 3, 2024
Scholars argue that artificial intelligence (AI) can generate genuine novelty and new knowledge and, in turn, AI computational models of cognition will replace human decision making under uncertainty. We disagree. AI’s data-based prediction is different from theory-based causal logic reasoning. highlight problems with the decades-old analogy between computers minds as input–output devices, using large language an example. Human better conceptualized a form reasoning rather than emphasis on information processing prediction. uses probability-based approach to largely backward looking imitative, whereas forward-looking capable generating novelty. introduce idea data–belief asymmetries difference cognition, example heavier-than-air flight illustrate our arguments. Theory-based provides cognitive mechanism for humans intervene world engage directed experimentation data. Throughout article, we discuss implications argument understanding origins novelty, knowledge,
Language: Английский
Citations
8
Journal of Evolutionary Economics, Journal Year: 2023, Volume and Issue: 33(5), P. 1473 - 1517
Published: Nov. 1, 2023
Language: Английский
Citations
11
Applied Soft Computing, Journal Year: 2024, Volume and Issue: 161, P. 111722 - 111722
Published: May 9, 2024
Language: Английский
Citations
3
Regional Science Policy & Practice, Journal Year: 2025, Volume and Issue: unknown, P. 100190 - 100190
Published: March 1, 2025
Language: Английский
Citations
0
Journal of Evolutionary Economics, Journal Year: 2024, Volume and Issue: 34(2), P. 303 - 318
Published: April 1, 2024
Language: Английский
Citations
2
Published: Aug. 1, 2023
We model a key step in the innovation process, hypothesis generation, as making of predictions over vast combinatorial space.Traditionally, scientists and innovators use theory or intuition to guide their search.Increasingly, however, they artificial intelligence (AI) instead.We resulting from sequential search design space, where prioritization costly tests is achieved using predictive model.We represent ranked output form hazard function.We then discrete survival analysis obtain main outcomes interest -the probability innovation, expected duration, profit.We describe conditions under which shifting traditional method intuition, instead AI that generates higher fidelity predictions, results likelihood successful shorter durations, profits.We explore complementarity between generation testing; potential gains may not be realized without significant investment testing capacity.We discuss policy implications.
Language: Английский
Citations
5
PROKLA Zeitschrift für kritische Sozialwissenschaft, Journal Year: 2024, Volume and Issue: 54(217), P. 553 - 571
Published: Dec. 11, 2024
»Künstliche Intelligenz« (KI) ist allgegenwärtig. KI dominiert alle Debatten, der Einsatz von wird in nahezu allen Bereichen diskutiert. dabei als neue technische »Revolution« begriffen, »Heilsbringer«, und soll die Arbeitswelt umkrempeln. Tatsächlich verbirgt sich hinter diesem Hype vor allem eine Mythologisierung Technik. Ebenso dient Machtkonzentration bei den großen Tech-Konzernen für geopolitische Situation relevant. Die negativen gesellschaftlichen klimatischen Konsequenzen geraten sowohl Heilsversprechen auch apokalyptischen Szenarien aus dem Blick.
Citations
1
Frontiers in Energy Research, Journal Year: 2024, Volume and Issue: 12
Published: Sept. 16, 2024
Against the backdrop of China’s initiative to construct a new power system focusing on energy, optimizing grid investment holds significant importance. This study aims investigate whether application artificial intelligence (AI) contributes efficiency. By considering diverse factors, efficiency in China is assessed by using Slack-based measure model. Then we analyze relationship between AI and efficiency, as well their nonlinear threshold effect. We find notable increase accompanied evident regional differences. In addition, utilization exerts significantly positive effect Particularly, such promoting more pronounced Southern Power Grid cohort remains during 12th Five-Year Plan period. Moreover, exhibits double-threshold effect, it diminishes contributing shows single electricity sales increase, impact manifests only when surpass specific threshold. These insights are important for strategic deployment projects through AI.
Language: Английский
Citations
0