Impact of AI Applications on Corporate Green Innovation

International Review of Economics & Finance, Journal Year: 2025, Volume and Issue: unknown, P. 104007 - 104007

Published: Feb. 1, 2025

Language: Английский

---

Superhuman science: How artificial intelligence may impact innovation

Journal of Evolutionary Economics, Journal Year: 2023, Volume and Issue: 33(5), P. 1473 - 1517

Published: Nov. 1, 2023

Language: Английский

---

The Impact of AI on Economic Growth: A Take for Emerging Economies

Future of business and finance, Journal Year: 2025, Volume and Issue: unknown, P. 31 - 38

Published: Jan. 1, 2025

Language: Английский

---

Making AI Inevitable

Oxford University Press eBooks, Journal Year: 2025, Volume and Issue: unknown

Published: March 20, 2025

Abstract This article demonstrates the extent to which prominent debates about future of AI are best understood as subjective, philosophical disagreements over history and technological change rather than objective, material technologies themselves. It focuses on deep whether artificial general intelligence (AGI) will prove transformative for human society—a question that is analytically prior this effect help or harm humanity. The begins by distinguishing two fundamental camps in debate. first these can be identified “transformationalists,” who argue continued development inevitably have a profound society. Opposed them “skeptics,” more eclectic group united their disbelief live up such high expectations. Each camp admits further “strong” “weak” variants depending tolerance epistemic risk. These stylized contrasts identify set questions shape camps’ respective interpretations AI. Three particular focused on: possibility nonbiological intelligence, appropriate time frame predictions, assumed trajectory development. In highlighting specific points nontechnical disagreement, wide range different arguments used justify either transformationalist skeptical position. At same time, it highlights strong argumentative burden position, way belief position creates competitive pressures achieve first-mover advantage, need widen concept “expertise” surrounding

Language: Английский

---

``Impressively Scary:' Exploring User Perceptions and Reactions to Unraveling Machine Learning Models in Social Media Applications

Published: April 24, 2025

Language: Английский

---

A polycrisis threat model for AI

AI & Society, Journal Year: 2025, Volume and Issue: unknown

Published: May 7, 2025

Language: Английский

---

Artificial intelligence and the problem of siguilarity in economics

Voprosy Ekonomiki, Journal Year: 2025, Volume and Issue: 5, P. 5 - 45

Published: May 17, 2025

Due to the development of artificial intelligence (AI) technology, problem singularity has taken an important place in new studies on economic growth. Many expect that coming decades, AI will be able reach level human and take over all or most tasks performed by people today. This cause growth explosion so economy could transit into a regime with superexponential rates (in limit, approaching infinity). The paper examines detail arguments both for against such over-optimistic scenario. its favor are based key assumption endogenous models ultimate source is ideas (scientific technological knowledge). basic theoretical counterargument refers so-called “Baumol cost disease”, whereby time contribution GDP sectors fastest productivity dynamics steadily decreases. main empirical if were already near, first signs it would visible unusual behavior some macroeconomic parameters. implies even explosive ever become reality, happen not soon.

Language: Английский

---

Applications of AI In Healthcare, Agriculture, Finance, and Other Industries

Advances in computational intelligence and robotics book series, Journal Year: 2025, Volume and Issue: unknown, P. 43 - 70

Published: May 22, 2025

Rooted in the idea that machines could mimic cognitive functions associated with human mind. Today, AI encompasses a variety of technologies and methodologies empower process information, recognize patterns, make decisions autonomously or semi-autonomously. language translation, game playing. These systems operate under limited set constraints excel their designated areas, often outperforming humans terms speed accuracy. Examples narrow, its development revolutionize industries societal functions. As deep learning architectures continue to evolve, they increasingly enable . Recent advancements NLP, particularly transformer models like GPT BERT, have improved ability grasp context generate coherent text, further blurring lines between machine communication.Computer vision, another critical area AI, involves teaching video analysis, computer vision enables applications ranging from surveillance medical imaging diagnostics.

Language: Английский

---

Scenarios for the Transition to AGI

SSRN Electronic Journal, Journal Year: 2024, Volume and Issue: unknown

Published: Jan. 1, 2024

Download This Paper Open PDF in Browser Add to My Library Share: Permalink Using these links will ensure access this page indefinitely Copy URL DOI

Language: Английский

---

Ứng dụng trí tuệ nhân tạo trong phát triển kinh tế xã hội

Tạp chí Kinh tế và Phát triển, Journal Year: 2024, Volume and Issue: unknown

Published: Jan. 1, 2024

Nghiên cứu này được thực hiện nhằm tìm hiểu về việc ứng dụng trí tuệ nhân tạo trong phát triển kinh tế xã hội. Phương pháp nghiên tại bàn với các dữ liệu thứ cấp thu thập từ nhiều nguồn bao gồm sách, tạp chí, báo, bài viết trên internet. Kết quả cho thấy phổ biến vào lĩnh vực hội và có tác động tích cực đáng kể đến Cụ thể hơn, xu hướng công nghệ là lực mới tăng trưởng tế. Dựa những phân tích, đề xuất một vài gợi ý chính sách đối Việt Nam quản lý sử AI để thúc đẩy

---