A program for Artificial Intelligence (AI) is knowledge as intelligent agent, which typically interacts with the ecosystem. This agent is capable of identifying the status of the ecosystem using the sensors before affecting the state via the actuators. We call the smart systems "agents” whenever they are able to make some decisions on their own with respect on particular goals. On the other hand, Machine Learning (ML) signifies a specific strategy meant to design smart systems whereby these systems can adapt to specific behaviors with respect to data. In the modern age, humans are rapidly collaborating with ML and AI systems. The AI that is human-based is a perspective of ML and AI, which algorithms have to be established with the awareness that they are a major segment of the massive system incorporating human. In this paper, we have presented a research that means that AI systems understand humans with respect to their socio-cultural aspects and that AI system assist humans comprehend them. We also present an argument of the challenges of social responsibility e.g. transparency, interpretability, accountability and fairness.
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Zoran Galic Hajnal
Zoran Galic Hajnal
Faculty of Science, University of Novi Sad, Trg Dositeja Obradovića 6, Novi Sad 106314, Serbia.
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Cite this article
Zoran Galic Hajnal, “Artificial Intelligence for Smart Systems Critical Analysis of the Human Centered Approach”, Journal of Computing and Natural Science, vol.1, no.3, pp. 085-092, July 2021. doi: 10.53759/181X/JCNS202101013.
