Human-Centered AI Systems: Balancing Automation, Ethics, and User Trust in Intelligent Technologies
Main Article Content
Abstract
As AI systems become deeply embedded in everyday applications, ensuring they align with human values and expectations is critical. This paper reviews the concept of human-centered AI, focusing on usability, fairness, transparency, and accountability. It examines frameworks for designing AI systems that enhance user trust while maintaining high performance. Applications in healthcare, finance, and public services are explored. The study also discusses ethical concerns such as bias, privacy, and decision accountability. Future research directions include participatory AI design, regulatory compliance, and improved human-AI interaction models.
Article Details
References
Whig, P., Sharma, P., Elngar, A. A., & Silva, N. (2025). Artificial intelligence and machine learning for advanced data-driven systems. CRC Press.
Whig, P., Sharma, P., & Yathiraju, N. (2025). Cutting-edge solutions for advancing sustainable development: Exploring technological horizons for sustainability (Part 1). Bentham Science Publishers.
Whig, P., Yathiraju, N., & Sharma, P. (2025). Cutting-edge solutions for advancing sustainable development: Exploring technological horizons for sustainability (Part 2). Bentham Science Publishers.
Whig, P., & Elngar, A. (2025). AI innovations for transforming food production. IGI Global.
Whig, P., & Elngar, A. (2025). Modernizing the food industry: AI-powered infrastructure, security, and supply chain innovation. IGI Global.
Whig, P., Sharma, P., Elngar, A. A., & Silva, N. (2025). Quantum learning: Bridging artificial intelligence, quantum computing, and data science in education. CRC Press.
Rather, R., Vats, H., Sharma, S., & Whig, P. (2025). AI and ML applications in data-informed leadership: Transforming higher education. In Advances in data science driven technologies (Vol. 5, pp. 36–53). Bentham Science.
Whig, P., Silva, N., Elngar, A. A., Aneja, N., & Sharma, P. (2025). Sustainable development through machine learning, AI and IoT: Proceedings of ICSD 2025 (Part I). Springer.
Whig, P., Silva, N., Elngar, A. A., Aneja, N., & Sharma, P. (2025). Sustainable development through machine learning, AI and IoT: Proceedings of ICSD 2025 (Part II). Springer.
Whig, P., et al. (2025). Shield-Pay: Secure healthcare encryption and integrated ledger for data and payments authentication yield (Patent application). Government of India.