Cultural change of artificial intelligence

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Short description: Cultural changes due to AI

Artificial Intelligence is the intelligence of machines or software rather than humans or animals. Culture change is a term used in public policy that emphasizes the influence of cultural capital on individual and community behavior. Artificial Intelligence has become a cultural change in today's world because of how its capacity and efficiency are improving and advancing everything we as humans do in our daily lives.

Industrial culture

Author Chaopu Meng believes that man-machine integrated technology will become more of a normality in future industrial endeavors and that with the popularity of 5G technology, Artificial Intelligence will develop more cultural formats.[1] Hongguo Zhang, Member of the China Center for Industrial Security Research, at the University of Beijing Jiaotong University, says that manufacturing intelligence is altering the manufacturing process, which includes the traditional industrial chain and division systems.[2] Within medicine, training for radiologists must consist of completing tasks that only a human can do and leaving the rest to Artificial Intelligence. Radiologists and pathologists should not fear AI, but rather accept the convenience of solving challenging tasks, and learn to captain the cognitive intelligence they are using.[3]

Academic culture

Author Jiling Zhang says that, in the AI-based education system consisting of machine learning, biometric recognition, and virtual reality, students are welcomed to a more immersive learning environment which will ultimately promote a more beneficial learning process.[4] Anthony Picciano from the Graduate Center, at the City University of New York, says that Artificial Intelligence creates "learning analytics" and rudimentary AI software to determine a student's progression very closely and that these adaptive learning systems are customized to the personal needs of each individual student.[5]

Business culture

Author Krishnamacharyulu Maramganti stresses that in order to have a successful, or lasting business in today's world, it is mandatory to embrace the changes that come with Artificial Intelligence.[6] Authors Kumar Manish Yadav and Nishtha Dwivedi elaborate on the idea of AI already existing in business through branches of the company, such as Management of Expenses, customer service, and even managing one's own career, and it will continue to grow.[7] In corporate environments, AI has become a significant tool. AI helps businesses gain competitive advantages, which makes it more in demand. Executives will also have to determine just how they use this cognitive function, and what tasks will be needed from human interaction.[8]

Ethical culture

Center on AI Technology for Mankind at NUS Business School and Gary Kasparov from the renew democracy Initiative say that many people in society and the business world say that AI has its own ethical compass, but that it is not a true statement. They believe that no AI is good or bad, but the human-created algorithms given to the Intelligence are what cause the effect on how the AI operates.[9] Organizations around the world have to understand the harmful consequences of their Artificial Intelligence technologies. Intelligence in large organizations has the power to be extremely destructive, and society has to understand the ethical problems this could bring to the human race.[10]

References

  1. Meng, Chao; Juanatas, Ronaldo; Niguidula, Jasmin (2023). "Influence and Prospect of Artificial Intelligence on the Development of Cultural Industry". SHS Web of Conferences 155: 03026. doi:10.1051/shsconf/202315503026. ISSN 2261-2424. 
  2. Zhang, Hongguo; Nian, Peihao; Chen, Yaqi (July 2017). "Intelligent manufacturing: The core leads industrial change in the future". 2017 4th International Conference on Industrial Economics System and Industrial Security Engineering (IEIS). IEEE. pp. 1–5. doi:10.1109/ieis.2017.8078612. ISBN 978-1-5386-0995-8. http://dx.doi.org/10.1109/ieis.2017.8078612. 
  3. Jha, Saurabh; Topol, Eric J. (2016-12-13). "Adapting to Artificial Intelligence: Radiologists and Pathologists as Information Specialists" (in en). JAMA 316 (22): 2353–2354. doi:10.1001/jama.2016.17438. ISSN 0098-7484. PMID 27898975. http://jama.jamanetwork.com/article.aspx?doi=10.1001/jama.2016.17438. 
  4. Zhang, Jiling (2023-03-01). "Impact of Artificial Intelligence on Higher Education in the Perspective of Its Application of Transformation". Lecture Notes in Education Psychology and Public Media 2 (1): 822–830. doi:10.54254/2753-7048/2/2022483. ISSN 2753-7048. https://lnep.ewapublishing.org/article.html?pk=c99e59b68d414323a948ace411c89040. 
  5. Picciano, Anthony (2019-09-01). "Artificial Intelligence and the Academy's Loss of Purpose". Online Learning 23 (3). doi:10.24059/olj.v23i3.2023. ISSN 2472-5730. https://olj.onlinelearningconsortium.org/index.php/olj/article/view/2023. 
  6. Maramganti, Krishnamacharyulu; Rajyalakshmi, N. (2019). Role of Artificial Intelligence in Business Transformation. 
  7. Yadav, Manish Kumar; Dwivedi, Nishtha (2023-05-04). "Impact of AI on Business". International Journal for Multidisciplinary Research 5 (3). doi:10.36948/ijfmr.2023.v05i03.2791. ISSN 2582-2160. https://www.ijfmr.com/research-paper.php?id=2791. 
  8. Rajagopal, Navaneetha Krishnan; Qureshi, Naila Iqbal; Durga, S.; Ramirez Asis, Edwin Hernan; Huerta Soto, Rosario Mercedes; Gupta, Shashi Kant; Deepak, S. (2022-07-30). "Future of Business Culture: An Artificial Intelligence-Driven Digital Framework for Organization Decision-Making Process" (in en). Complexity 2022: e7796507. doi:10.1155/2022/7796507. ISSN 1076-2787. 
  9. De Cremer, David; Kasparov, Garry (February 2022). "The ethical AI—paradox: why better technology needs more and not less human responsibility" (in en). AI and Ethics 2 (1): 1–4. doi:10.1007/s43681-021-00075-y. ISSN 2730-5953. 
  10. Brendel, Alfred Benedikt; Mirbabaie, Milad; Lembcke, Tim-Benjamin; Hofeditz, Lennart (January 2021). "Ethical Management of Artificial Intelligence" (in en). Sustainability 13 (4): 1974. doi:10.3390/su13041974. ISSN 2071-1050.