Main Article Content
As with other countries, Algeria is making efforts to catch up with technological advancements by introducing artificial intelligence into all sectors, including management. AI is considered to be the language of the future that everyone must learn, which is why building a smart management, rather than simply a digital one, and eliminating paper-based management are key objectives. Achieving this goal requires conducting numerous studies to identify the necessary conditions for incorporating AI into the Algerian management and addressing the many obstacles that stand in the way of transitioning to a smart management. Artificial intelligence can be considered as the "future of smart management," and hence, we have employed a descriptive and analytical methodology to describe and analyze the actual situation of AI in management. Our aim is to identify and extract the critical models and challenges that impede the integration of artificial intelligence into public administration. We have concluded that artificial intelligence has the potential to advance all sustainable development goals and promote sustainable and economic development. However, its use also entails significant social, economic, and ethical implications. It is therefore considered imperative that artificial intelligence be considered as a "language of the future" that requires universal proficiency.
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
Artificial neural networks. Taken from the website: https://ssewestern.org/
Al-Fara, S. (2021). Artificial intelligence. Al-Badr Journal, 04(01), 03-06.
Lagrab, S. & Aimour, R. (2022). The automated agent in the modern era of artificial intelligence. Legal and Political Thought Journal, 06(02), 665-685.
Nasseri, M. & Khashaimiya, S. (2021). Conceptual introduction to artificial intelligence and its applications in sports management. Sports Performance Sciences Journal, 03(02), 229-253.
Youssef, M. (2010). A comparative study between artificial neural networks- distinguishing printed English numbers-. Education and Science Journal, 23(02), 73-90.
Assad, A. (2022). Ethical concerns of negative uses of artificial intelligence technologies: deepfake technology as a model. Al-Risalah Journal for Media Studies, 06(02), 371-383.
Artificial neural networks and their types. Taken from the website: https://ar.jf-parede.pt/artificial-neural-networks.
Al-Aouafi, D. (2021). Cyber warfare in the age of artificial intelligence and its implications for international security. Al-Hikma Journal for Philosophical Studies, 09(02), 778-800.
Raaflaub, K. (2021). Machine and ethics: challenges of artificial intelligence. Taken from https://www.swissinfo.ch/ara/.
Omar Albanna, M. Artificial neural networks, March 2013, Omdurman Ahlia University, Faculty of Applied Sciences and Computer. Taken from the website: file:///C:/Users/KPC%20Solutions.
Qalwaz, F. (2020). The electronic agent: a modern mechanism to express will. Comparative Legal Studies Journal, 06(01), 34-11.
Kardoudi, S. & Ben Kadour, A. (2016). Prediction with artificial neural networks as a support for analytical review in the audit process: case of compound for salt refinery -Biskra- between 2010-2014. Strategy and Development Journal, 06(10), 166-197.
What is meant by neural networks? Taken from the website: https://aws.amazon.com/.
Mouadh, M. (2021). What are the current challenges facing artificial intelligence? Taken from https://arsco.org/article-detail-1847-8-0.
Article on smart agents. Taken from the website: https://www.docdroid.net/.
Article on software agents. Taken from the website: https://ar.wikipedia.org/.