Advanced Data Science and Computational Intelligence (single issue)
Explainable, Ethical, and Trustworthy AI
With artificial intelligence systems becoming pervasive across important facets of modern society, efforts have been dedicated to creating intelligent systems that can explain their operations, actions, and decisions, ensuring transparency, responsibility, accountability, and trustworthiness. Explainable, Ethical, and Trustworthy AI revolves around designing intelligent systems that can be understood, justified, and believed in by various stakeholders in the domain, including users, decision-makers, policymakers, and regulators. Such principles are vital in mitigating possible sources of bias, privacy risks, and misusing data, ensuring that artificial intelligence operates according to human value and societal standards. Given the increasing use of AI in healthcare, finance, education, governance, and other domains, it is essential to ensure that researchers are advancing intelligent systems through approaches that facilitate responsible innovation without undermining trust in technology. The Journal of Advanced Data Science and Computational Intelligence welcomes submissions that aim to explore various methods related to interpretable machine learning, algorithmic fairness, ethics, accountability, privacy, transparency, and trustworthy AI.v