Despite rapid advancements in artificial intelligence reshaping our world, it comes with critical issues like AI safety, AI ethics, and the looming specter of potentially uncontrollable AI. Recent discussions, highlighted by sources like CBC Radio, underscore that ensuring AI remains a beneficial force for humanity is not an afterthought but a foundational challenge requiring urgent […]
Ethical Dilemmas in Social Work, Integrating AI, Upholding Confidentiality, and Mitigating Algorithmic Bias
Introduction In recent years, ethical dilemmas in social work are best highlighted by the integration of artificial intelligence in social work practice. This has necessitated a comprehensive examination of both methodological rigor and ethical accountability. Drawing on qualitative research methodology and data analysis, studies such as those by Segal (2025) have adopted phenomenological approaches to […]
Data Quality: Ensuring High-Quality, Diverse Datasets for Training AI Models in Healthcare and Human Services
Introduction This is a summary of an article written by Charlie Luca titled “Optimizing Public Services with AI: A Technical Framework for Implementation” published on researchgate.net exploring “a technical framework for implementing AI in public services”. In the rapidly advancing fields of AI-driven healthcare and human services, the saying “garbage in, garbage out” aptly underscores the importance of data […]