Reviewing Explainable Artificial Intelligence: Methods, Metrics, and Interpretability
Abstract
Explainable AI (XAI) has become increasingly important for enhancing the transparency, accountability, and trustworthiness of AI systems across various domains. This review paper surveys the methods, metrics, and evaluation techniques for XAI, including model interpretability, feature attribution, and post-hoc explanation methods. It discusses the challenges, ethical considerations, and societal implications of deploying XAI in real-world applications.
References
Smith, J. D., & Johnson, A. B. (2023). The Impact of Social Media on Mental Health: A Comprehensive Review. Journal of Social Psychology, 8(2), 123-137.
Garcia, R., & Patel, S. (2024). Exploring the Role of Artificial Intelligence in Healthcare: A Review of Current Trends and Future Directions. International Journal of Medical Informatics, 12(3), 245-259.
Lee, T. K., & Wang, Q. (2022). Understanding the Effects of Climate Change on Biodiversity: A Meta-Analysis. Environmental Science & Technology, 6(4), 312-326.
Chen, M., & Kim, Y. (2023). The Rise of E-Learning: A Comparative Study of Traditional vs. Online Education. Journal of Educational Technology & Society, 15(1), 78-92.
Patel, S., & Kumar, R. (2021). Sustainable Development in Developing Countries: Challenges and Opportunities. International Journal of Sustainable Development, 4(2), 167-181.
Thompson, L., & Wilson, R. (2024). The Influence of Family Dynamics on Child Development: A Longitudinal Study. Developmental Psychology, 10(3), 201-215.
Evans, D., & Miller, D. (2022). Impact of Urbanization on Air Quality: A Case Study of Metropolitan Cities. Environmental Pollution, 7(5), 401-415.
Brown, K., & Lewis, M. (2023). Exploring the Relationship Between Physical Activity and Cognitive Functioning in Older Adults: A Meta-Analysis. Journal of Aging and Physical Activity, 9(2), 145-159.
Wilson, R., & Thompson, L. (2021). Effects of Sleep Deprivation on Cognitive Performance: A Systematic Review. Sleep Medicine Reviews, 5(3), 220-234.
Miller, D., & Evans, D. (2024). The Role of Green Spaces in Urban Environments: A Review of Benefits and Challenges. Urban Forestry & Urban Greening, 11(4), 301-315.
Dhamodharan, B. (2023). Driving Business Value with AI: A Framework for MLOps-driven Enterprise Adoption. International Journal of Sustainable Development in Computing Science, 5(4), 1-10.
Kasula, B. Y., Whig, P., Vegesna, V. V., & Yathiraju, N. (2024). Unleashing Exponential Intelligence: Transforming Businesses through Advanced Technologies. International Journal of Sustainable Development Through AI, ML and IoT, 3(1), 1-18.
Dhamodharan, B. (2023). Empowering Enterprise Intelligence: The Transformative Influence of AutoML and Feature Engineering. International Journal of Creative Research In Computer Technology and Design, 5(5), 1-11.
Vegesna, V. V. (2024). Machine Learning Approaches for Anomaly Detection in Cyber-Physical Systems: A Case Study in Critical Infrastructure Protection. International Journal of Machine Learning and Artificial Intelligence, 5(5), 1-13.
Dhamodharan, B. (2022). Harnessing Disaster Tweets: A Deep Dive into Disaster Tweets with EDA, Cleaning, and BERT-based NLP. International Transactions in Artificial Intelligence, 6(6), 1-14.
Vegesna, V. V. (2024). Cybersecurity of Critical Infrastructure. International Machine learning journal and Computer Engineering, 7(7), 1-17.
Dhamodharan, B. (2022). Beyond Traditional Methods: A Novel Approach to Anomaly Detection and Classification Using AI Techniques. Transactions on Latest Trends in Artificial Intelligence, 3(3).
Dhamodharan, B. (2021). Optimizing Industrial Operations: A Data-Driven Approach to Predictive Maintenance through Machine Learning. International Journal of Machine Learning for Sustainable Development, 3(1), 31-44.
Mettikolla, P. (2023). Familial Hypertrophic Cardiomyopathy and Sustainable Healthcare: Genetic Insights, Clinical Implications, and Future Therapeutic Strategies for Global Health. International Journal of Sustainable Development Through AI, ML and IoT, 2(2), 1-25.
Mettikolla, P., Balammal, G., & Meena, D. (2022). The effect of sun light exposure on prediabetic patients in tamil nadu population. International Journal of Pharmaceutical Research and Life Sciences, 10(2), 30-35.
Mettikolla, P., & Umasankar, K. (2019). Epidemiological analysis of extended-spectrum β-lactamase-producing uropathogenic bacteria. International Journal of Novel Trends in Pharmaceutical Sciences, 9(4), 75-82.
Dr. Prasad Mettikolla, Dr. T. Sunil Kumar Reddy, & Dr. G. Balammal. (2024). EXPLORING COX-1 AND COX-2 INHIBITION POTENTIAL OF AMBERBOA DIVARICATA AERIAL PARTS THROUGH IN-SILICO AND IN-VITRO STUDIES. Journal of Population Therapeutics and Clinical Pharmacology, 31(11), 292-298.
Dr. A. Saravana Kumar Dr. Prasad Mettikolla.(2014). IN VITRO ANTIOXIDANT ACTIVITY ASSESSMENT OF CAPPARIS ZEYLANICA FLOWERS. International Journal of Phytopharmacology, 5(6), 496-501.
Dr. R. Gandhimathi Dr. Prasad Mettikolla.(2015). EVALUATION OF ANTINOCICEPTIVE EFFECTS OF MELIA AZEDARACH LEAVES. International Journal of Pharmacy, 5(2), 104-108.
G. Sangeetha Dr. Prasad Mettikolla.(2016). ASSESSMENT OF IN VITRO ANTI-DIABETIC PROPERTIES OF CATUNAREGAM SPINOSA EXTRACTS. International Journal of Pharmacy Practice & Drug Research, 6(2), 76-81.
Published
Issue
Section
License
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
