Emerging Trends and Challenges in Artificial Intelligence: A Research Perspective
Tejaswini Bollikonda, Chiranjeevi Bura · Preprints.org · 2025
Artificial Intelligence (AI) has undergone rapid advancements over the last decade, impacting diverse domains such as healthcare, finance, cybersecurity, and industrial automation. This paper explores emerging trends in AI, including the integration of Explainable AI (XAI), Edge AI, federated learning, and next-generation computing paradigms. The study discusses challenges such as ethical concerns, interpretability, security risks, and computational overhead, while also highlighting key innovations driving AI evolution. Our proposed architecture aims to enhance trustworthiness in AI-driven applications through a hybrid approach leveraging XAI and federated learning. Experimental results demonstrate the efficacy of this architecture in balancing accuracy, interpretability, and data privacy, making it suitable for real-world AI applications.