
The Economic Implications of AI: Origins, Progression, and Prospect
- 1 Beijing International Bilingual Academy
* Author to whom correspondence should be addressed.
Abstract
The emergence of the most cutting-edge technology of Artificial intelligence has intrigued many people globally, it has recently become the subject of widespread curiosity and fascination. Meanwhile, biases among different scholars and countries have concerned lots of individuals across the globe. With that being stated, in this research, this paper will share discoveries that focus mostly on the origin, progression, and future potential of the technology so that the audience could gain both basic understanding and critical thinking toward this trending technology. To address detailed information, this paper covers early research in AI, the emergence of machine learning and neural networks, moreover, the significance and development of deep learning. The paper also delves into different types of AI, their application in various industries, advancements, and innovations in natural language processing, and the examination of this revolutionary's effects on job opportunities and employment. This paper evaluates the current state of artificial intelligence and its potential impact on different aspects of society, it also discussed the various types of AI with the supporting information of their applications in industries such as finance and sustainability. The possibilities, opportunities, and challenges which are posed by AI such as job market distribution and ethical considerations are also investigated. The paper states that with the wide range of consideration of the concerns and harnessing the power of AI responsibly, this technology could continue to develop and therefore improve individual living conditions and create a more sustainable future.
Keywords
artificial intelligence, economics, job market
[1]. McCarthy, J., Minsky, M. L., Rochester, N., & Shannon, C. E. (1955). A proposal for the Dartmouth summer research project on artificial intelligence. AI Magazine, 27(4), 12-14.
[2]. Rumelhart, D. E., Hinton, G. E., & Williams, R. J. (1986). Learning representations by back-propagating errors. Nature, 323(6088), 533-536.
[3]. LeCun, Y., Bengio, Y., & Hinton, G. (2015). Deep learning. Nature, 521(7553), 436-444.
[4]. Russell, S. J., & Norvig, P. (2021). Artificial Intelligence: A Modern Approach (4th ed.). Pearson.
[5]. Bughin, J., Hazan, E., Ramaswamy, S., Chui, M., Allas, T., Dahlström, P., ... & Trench, M. (2017). Artificial intelligence: The next digital frontier? McKinsey Global Institute.
[6]. Kaplan, A., & Haenlein, M. (2019). Siri, Siri, in my hand: Who's the fairest in the land? On the interpretations, illustrations, and implications of artificial intelligence. Business Horizons, 62(1), 15-25.
[7]. Brown, T.B., Mann, B., Ryder, N., Subbiah, M., Kaplan, J., Dhariwal, P., ... & Amodei, D. (2020). Language models are few-shot learners. OpenAI. Retrieved from https://openai.com/blog/language-models-are-few-shot-learners/
[8]. Devlin, J., Chang, M.W., Lee, K., & Toutanova, K. (2018). BERT: Pre-training of deep bidirectional transformers for language understanding. Google AI. Retrieved from https://ai.googleblog.com/2018/11/open-sourcing-bert-state-of-art-pre.html
[9]. Peters, M.E., Neumann, M., Iyyer, M., Gardner, M., Clark, C., Lee, K., & Zettlemoyer, L. (2018). Deep contextualized word representations. Retrieved from https://arxiv.org/abs/1802.05365
[10]. McKinsey Global Institute. (2017). Jobs lost, jobs gained: What the future of work will mean for jobs, skills, and wages. Retrieved from https://www.mckinsey.com/featured-insights/future-of-work/jobs-lost-jobs-gained-what-the-future-of-work-will-mean-for-jobs-skills-and-wages
[11]. European Commission. (2019). Ethics guidelines for trustworthy AI. Retrieved from https://ec.europa.eu/digital-single-market/en/news/ethics-guidelines-trustworthy-ai
[12]. DeeMind. (2016). DeepMind AI reduces Google data centre cooling bill by 40%. Retrieved from https://deepmind.com/blog/article/deepmind-ai-reduces-google-data-centre-cooling-bill-40
Cite this article
Sun,Q. (2023). The Economic Implications of AI: Origins, Progression, and Prospect. Advances in Economics, Management and Political Sciences,24,277-285.
Data availability
The datasets used and/or analyzed during the current study will be available from the authors upon reasonable request.
Disclaimer/Publisher's Note
The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of EWA Publishing and/or the editor(s). EWA Publishing and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content.
About volume
Volume title: Proceedings of the 2023 International Conference on Management Research and Economic Development
© 2024 by the author(s). Licensee EWA Publishing, Oxford, UK. This article is an open access article distributed under the terms and
conditions of the Creative Commons Attribution (CC BY) license. Authors who
publish this series agree to the following terms:
1. Authors retain copyright and grant the series right of first publication with the work simultaneously licensed under a Creative Commons
Attribution License that allows others to share the work with an acknowledgment of the work's authorship and initial publication in this
series.
2. Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the series's published
version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgment of its initial
publication in this series.
3. Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and
during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See
Open access policy for details).