THE FUTURE WITH ARTIFICIAL INTELLIGENCE: A LITERATURE REVIEW ON THE POTENTIAL AND CHALLENGES OF AUTOMATION
Abstract
The development of Artificial Intelligence (AI) has created both hope and concern about the future. On the one hand, AI has the potential to increase productivity, efficiency, and innovation in various sectors. On the other hand, AI-induced automation can also threaten the existence of human jobs, especially for routine and structured jobs. This article presents a literature review on the potentials and challenges of a future with AI. The literature review shows that to optimise the potential of AI, a comprehensive and proactive strategy is required. These include investments in education and training for new skills, policies that support workforce transition, strong regulatory frameworks to maintain security and privacy, and efforts to address bias and discrimination in AI systems. Close collaboration between humans and machines is also essential to maximise the added value that can be generated. With the right approach, the potential of AI can be harnessed to advance human well-being and provide solutions to global challenges. However, awareness and collective action from various stakeholders are needed for a fair and sustainable future transformation with AI.
References
Adlini, M. N., Dinda, A. H., Yulinda, S., Chotimah, O., & Merliyana, S. J. (2022). Qualitative Research Methods of Literature Study. Edumaspul: Journal of Education,6 (1), 974-980. https://doi.org/10.33487/edumaspul.v6i1.3394
Alam, A. (2021). Possibilities and apprehensions in the landscape of artificial intelligence in education. ... Conference on Computational Intelligence and ..., Query date: 2025-01-11 09:22:24. https://ieeexplore.ieee.org/abstract/document/9697272/
Alaslan, A. (2022). QUALITATIVE RESEARCH METHODS. Query date: 2024-05-25 20:59:55. https://doi.org/10.31237/osf.io/2pr4s
Chilunjika, A., Intauno, K., & Chilunjika, S. (2022). Artificial intelligence and public sector human resource management in South Africa: Opportunities, challenges and prospects. SA Journal of Human ..., Query date: 2025-01-11 09:09:46. https://doi.org/10.4102/sajhrm.v20i0.1972
Dimitriadou, E., & Lanitis, A. (2023). A critical evaluation, challenges, and future perspectives of using artificial intelligence and emerging technologies in smart classrooms. Smart Learning Environments, Query date: 2025-01-11 09:22:24. https://doi.org/10.1186/s40561-023-00231-3
Dlamini, Z., Francies, F., Hull, R., & Marima, R. (2020). Artificial intelligence (AI) and big data in cancer and precision oncology. Computational and Structural ..., Query date: 2025-01-11 09:22:24. https://www.sciencedirect.com/science/article/pii/S200103702030372X
Dwivedi, Y., Hughes, L., Ismagilova, E., Aarts, G., & ... (2021). Artificial Intelligence (AI): Multidisciplinary perspectives on emerging challenges, opportunities, and agendas for research, practice and policy. International Journal of ..., Query date: 2025-01-11 09:22:24. https://www.sciencedirect.com/science/article/pii/S026840121930917X
Haefner, N., Wincent, J., Parida, V., & Gassmann, O. (2021). Artificial intelligence and innovation management: A review, framework, and research agenda✰ ... Forecasting and Social ..., Query date: 2025-01-11 09:22:24. https://www.sciencedirect.com/science/article/pii/S004016252031218X
Hasan, A. (2021). Artificial Intelligence (AI) in accounting &auditing: A Literature review. Open Journal of Business and Management, Query date: 2025-01-11 09:22:24. https://www.scirp.org/journal/paperinformation?paperid=115007
Himeur, Y., Elnour, M., Fadli, F., Meskin, N., Petri, I., & ... (2023). AI-big data analytics for building automation and management systems: A survey, actual challenges and future perspectives. Artificial Intelligence ..., Query date: 2025-01-11 09:22:24. https://doi.org/10.1007/s10462-022-10286-2
Kilic, A. (2020). Artificial intelligence and machine learning in cardiovascular health care. The Annals of Thoracic Surgery, Query date: 2025-01-11 09:22:24. https://www.sciencedirect.com/science/article/pii/S0003497519316121
Moradi, M., & Dass, M. (2022). Applications of artificial intelligence in B2B marketing: Challenges and future directions. Industrial Marketing Management, Query date: 2025-01-11 09:22:24. https://www.sciencedirect.com/science/article/pii/S0019850122002553
Ng, K., Chen, C., Lee, C., Jiao, J., & ... (2021). A systematic literature review on intelligent automation: Aligning concepts from theory, practice, and future perspectives. Advanced Engineering ..., Query date: 2025-01-11 09:22:24. https://www.sciencedirect.com/science/article/pii/S147403462100001X
Raisch, S., & Krakowski, S. (2021). Artificial intelligence and management: The automation-augmentation paradox. Academy of Management Review, Query date: 2025-01-11 09:22:24. https://doi.org/10.5465/amr.2018.0072
Sarker, I. (2022). AI-based modelling: Techniques, applications and research issues towards automation, intelligent and smart systems. SN Computer Science, Query date: 2025-01-11 09:22:24. https://doi.org/10.1007/s42979-022-01043-x
Sharma, G., Yadav, A., & Chopra, R. (2020). Artificial intelligence and effective governance: A review, critique and research agenda. Sustainable Futures, Query date: 2025-01-11 09:09:46. https://www.sciencedirect.com/science/article/pii/S2666188819300048
Siriwardhana, Y., Porambage, P., & ... (2021). AI and 6G security: Opportunities and challenges. 2021 Joint European ..., Query date: 2025-01-11 09:22:24. https://ieeexplore.ieee.org/abstract/document/9482503/
Stige, Å., Zamani, E., Mikalef, P., & Zhu, Y. (2024). Artificial intelligence (AI) for user experience (UX) design: A systematic literature review and future research agenda. Information Technology & ..., Query date: 2025-01-11 09:22:24. https://doi.org/10.1108/itp-07-2022-0519
Suyitno. (2021). QUALITATIVE RESEARCH METHODS CONCEPTS, PRINCIPLES AND OPERATIONS. Query date: 2024-05-25 20:59:55. https://doi.org/10.31219/osf.io/auqfr
Tatineni, S., & Boppana, V. (2021). AI-powered DevOps and MLOps frameworks: Enhancing collaboration, automation, and scalability in machine learning pipelines. Journal of Artificial Intelligence ..., Query date: 2025-01-11 09:22:24. https://aimlstudies.co.uk/index.php/jaira/article/view/103
Tussyadiah, I. (2020). A review of research into automation in tourism: Launching the Annals of Tourism Research Curated Collection on Artificial Intelligence and Robotics in Tourism. Annals of Tourism Research, Query date: 2025-01-11 09:09:46. https://www.sciencedirect.com/science/article/pii/S016073832030027X
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