Prospects of Computational Intelligence in Society: Human-Centric Solutions, Challenges, and Research Areas

Kishor Kumar  Reddy Chinthala; Monika Singh Thakur; Mohammed  Shuaib; Shadab Alam

doi:10.47852/bonviewJCCE42023330

Authors

Kishor Kumar Reddy Chinthala Department of Computer Science and Engineering, Stanley College of Engineering and Technology for Women, India https://orcid.org/0000-0002-3762-0137
Monika Singh Thakur Department of Computer Science and Engineering, Stanley College of Engineering and Technology for Women, India https://orcid.org/0009-0006-8534-9130
Mohammed Shuaib Department of Computer Science, Jazan University, Saudi Arabia https://orcid.org/0000-0001-6657-2587
Shadab Alam Department of Computer Science, Jazan University, Saudi Arabia https://orcid.org/0000-0003-0504-4515

DOI:

https://doi.org/10.47852/bonviewJCCE42023330

Keywords:

soft computing, human-centric solutions, challenges, artificial intelligence, fuzzy logic

Abstract

The future of society could be shaped by artificial intelligence (AI), which is a part of soft computing that deals with probabilistic reasoning, neural networks, fuzzy logic, and evolutionary algorithms. This paper focuses on issues that are faced by soft computing as it moves towards human-centric solutions, outlines the challenges for soft computing, and provides possible research directions for development. Currently, there is an increasing emphasis on human-centered solutions in various fields, such as the healthcare industry, transportation sector, financial institutions, and education systems in the world today. Using soft computing techniques in this way comes with its own advantages, especially when managing unclearness or ambiguity or unsureness existing within humans' decision-making processes. Soft computing based on using neural networks may help to develop computer systems capable of faking human behavior and preferences as they evolve over time by using fuzzy logic and evolutionary algorithms. This human-centric approach helps improve the user experience while creating more symbiotic ties between technology and society, leading to examples such as personalized medicine treatment plans, among others. Soft computing’s future in society will be, to a large extent, determined by the provision of human-friendly AI while addressing the ethical, legal, and social challenges of its applications. Rights on AI represent humanity and shall be accountable. Collaborating with interdisciplinary scientists and carrying out frontier studies on developing human-friendly AI systems from ethical, legal, and social perspectives and welfare has the potential to have an influence on community and policy-maker decisions, facilitate a suitable climate for soft computing and AI in society, leverage it for empowering individuals, communities, and societies, and to improve the quality of human life while respecting human values and dignity. It also paves the way for society to be more inclusive and equitable.

Received: 30 April 2024 | Revised: 17 July 2024 | Accepted: 14 September 2024

Conflicts of Interest

The authors declare that they have no conflicts of interest to this work.

Data Availability Statement

Data sharing is not applicable to this article as no new data were created or analyzed in this study.

Author Contribution Statement

Kishor Kumar Reddy Chinthala: Conceptualization, Methodology, Software, Formal analysis, Investigation, Resources, Writing -original draft, Writing – review & editing, Visualization. Monika Singh Thakur: Conceptualization, Methodology, Software, Formal analysis, Investigation, Resources, Writing – original draft, Writing – review & editing, Visualization. Mohammed Shuaib: Software, Validation, Formal analysis, Resources, Writing – review & editing, Visualization, Supervision, Project administration. Shadab Alam: Software, Validation, Formal analysis, Resources, Writing – review & editing, Visualization, Supervision, Project administration.