AI Impact: Unpacking Brain Duplication in Everyday Life
Keywords:
Artificial Intelligence, Brain Duplication, Natural Language processing (NLP), Computer Algorithms, Human ActivitiesAbstract
Brain duplication technique is impactful in several industries to reduce the cost and human efforts. Ai-based systems are being implemented in education, health, technology, manufacturing, production and other sectors. Hence, the following work has developed a clear understanding of the brain duplication technique and its impact on human activities.The essential elements have encapsulated the utilization of computer algorithms like machine learning, natural language processing, deep learning, and similar technologies.Hence, the impact on human activities has been produced which developed the statement of how AI has been replacing human jobs as well as finding opportunities for new job sectors.Furthermore, a brief visualization has also displayed the data of recent pictures while comparing with past years as how AI has been implemented in job sectors. On the other hand, implications and discussion have been made to understand the key findings of the research. Moreover, a recommendation has shown the suggestion to improve the abilities in future use.
References
Jena B, Saxena S, Nayak GK, Balestrieri A, Gupta N, Khanna NN, Laird JR, Kalra MK, Fouda MM, Saba L, Suri JS. Brain tumor characterization using radiogenomics in artificial intelligence framework. Cancers. 2022 Aug 22; 14(16): 4052.
Acemoglu D, Autor D, Hazell J, Restrepo P. AI and jobs: Evidence from online vacancies. National Bureau of Economic Research; 2020 Dec 28.
Rajnerowicz (2022). Will AI take your job? Fear of AI and AI trends for 2023. [Online]. Tidio. https://www.tidio.com/blog/ai-trends/
Yaacob H, Hossain F, Shari S, Khare SK, Ooi CP, Acharya UR. Application of artificial intelligence techniques for brain-computer interface in mental fatigue detection: a systematic review (2011-2022). IEEE Access. 2023 Jul 18; 11: 74736–74758.
Tursunbayeva A, Renkema M. Artificial intelligence in health‐care: implications for the job design of healthcare professionals. Asia Pacific J Hum Resour. 2023 Oct; 61(4): 845–87.
Vrontis D, Christofi M, Pereira V, Tarba S, Makrides A, Trichina E. Artificial intelligence, robotics, advanced technologies and human resource management: a systematic review. Int J Hum Resour Manag. 2022 Mar 26; 33(6): 1237–66.
News B. (2019 mar 25). Automation could replace 1.5 million jobs, says ONS. [Online]. BBC News. Available from: https://www.bbc.com/news/business-47691078
Chen X, Chen J, Cheng G, Gong T. Topics and trends in artificial intelligence assisted human brain research. PLoS One. 2020 Apr 6;15(4):e0231192.
Gibbs MB. How is new technology changing job design? IZA World of Labor. 2022 Aug 24.
De Cremer D, Kasparov G. AI should augment human intelligence, not replace it. Harv Bus Rev. 2021 Mar 18;18(1).
Richie-Halford A, Cieslak M, Ai L, Caffarra S, Covitz S, Franco AR, Karipidis II, Kruper J, Milham M, Avelar-Pereira B, Roy E. An analysis-ready and quality controlled resource for pediatric brain white-matter research. Sci Data. 2022 Oct 12; 9(1): 616.
Conor Stewart. (2023 Sep 28). Artificial intelligence (AI) in healthcare market size worldwide from 2021 to 2030 (in billion U.S. dollars). [Online]. Available from: https://www.statista.com/statistics/1334826/ai-in-healthcare-market-size-worldwide/
Semuels A. Millions of Americans have lost jobs in the pandemic—And robots and AI are replacing them faster than ever. Time magazine. 2020 Aug 6.
Wang X, Wang J, Wu C, Xu S, Ma W. Engineering Brain: Metaverse for future engineering. AI Civ Eng. 2022 Aug 18; 1(1): 2.
Mills S, Costa S, Sunstein CR. The Opportunities and Costs of AI in Behavioural Science.2023 Jun 23. Available at SSRN 4490597.
Ponce-López V, Spataru C. Social Media Behaviour Analysis in disaster-response messages of floods and heat waves via Artificial Intelligence. Computer and Information Science. 2022 Jun 7;15(3):18–36.
