ChatGPT, a Product of AI, and its Influences in the Business World
DOI:
https://doi.org/10.54045/talaa.v3i1.725Keywords:
ChatGPT, AI, Business operations, AI ApplicationsAbstract
Specifically the study analyzes how ChatGPT AI is transforming business operations and enhancing customer experience in customer service, e-commerce, healthcare, finance, marketing, and developer business sectors. Using a comprehensive literature review approach.The study explores the implications of ChatGPT AI for businesses, including its potential to improve efficiency, reduce costs, and enhance competitiveness. Additionally, ethical and legal considerations surrounding the use of ChatGPT AI in business operations are evaluated, including issues related to data privacy, bias, and transparency.The study provides insights into future directions for the application of ChatGPT AI in business and the potential impact of this technology on various business sectors. The objective is to provide a comprehensive review of the influence of ChatGPT AI on businesses, its potential benefits, and challenges for businesses looking to adopt this technology. Overall, this study highlights the importance of considering the benefits and limitations of AI adoption in businesses, as well as the ethical and legal implications of its use.
References
Adams, Sam, Itmar Arel, Joscha Bach, Robert Coop, Rod Furlan, Ben Goertzel, J. Storrs Hall et al. "Mapping the landscape of human-level artificial general intelligence." AI magazine 33, no. 1 (2012): 25-42.
Bai, Jing, Yan Wu, Junming Zhang, and Fuqiang Chen. "Subset based deep learning for RGB-D object recognition." Neurocomputing 165 (2015): 280-292.
Bostrom, Nick. "How long before superintelligence?." International Journal of Futures Studies 2 (1998).
Bostrom, Nick. “Superintelligence: Paths, dangers, strategies.” Oxford: Oxford University Press (2014).
Dreyfus, Hubert L. "A history of first step fallacies." Minds and Machines 22 (2012): 87-99.
Esteves, João Sena, Adriano Carvalho, and Carlos Couto. "Generalized geometric triangulation algorithm for mobile robot absolute self-localization." In 2003 IEEE international symposium on industrial electronics (Cat. No. 03TH8692), vol. 1, pp. 346-351. IEEE, 2003.
Gottfredson, Linda S. "The general intelligence factor." (1998): 24-29.
Kurzweil, R. "The Singularity Is Near: When Humans Transcend Biology. London: Viking." (2005): 978-3.
Müller, Vincent C., and Nick Bostrom. "Future progress in artificial intelligence: A survey of expert opinion." Fundamental issues of artificial intelligence (2016): 555-572.
Martínez, D. Magaña, and Juan Carlos Fernández-Rodríguez. "Artificial intelligence applied to project success: a literature review." IJIMAI 3, no. 5 (2015): 77-84.
McCarthy, John, Marvin L. Minsky, Nathaniel Rochester, and Claude E. Shannon. "A proposal for the dartmouth summer research project on artificial intelligence, august 31, 1955." AI magazine 27, no. 4 (2006): 12-12. Retrieved October 2006, from http://wwwformal.stanford.edu/jmc/history/dartmouth/dartmouth.html
Niekum, Scott, Sarah Osentoski, George Konidaris, Sachin Chitta, Bhaskara Marthi, and Andrew G. Barto. "Learning grounded finite-state representations from unstructured demonstrations." The International Journal of Robotics Research 34, no. 2 (2015): 131-157.
Additional Files
Published
How to Cite
Issue
Section
License
Copyright (c) 2023 Md. Arman, Umama Rashid Lamiya
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.