Harnessing Artificial Intelligence in Social Work: Opportunities, Challenges, And Ethical Considerations

Artificial intelligence has both potential and drawbacks when it comes to social work. Artificial intelligence (AI) like chatbots, predictive analytics, and automated case management systems have improved social work services' accessibility and efficiency. These technologies have the potential to improve early intervention, expedite administrative procedures, and increase mental health assistance, among other advantages. But ethical issues like algorithmic bias, digital exclusion, data privacy, and the possible loss of human connection, make it difficult to believe AI will ever play a significant role in social work. To evaluate the impact of AI on the field, this study uses a mixed-methods approach that includes surveys, case studies, interviews with social workers, AI developers, and clients, as well as a review of the literature. Findings show that although AI can greatly lessen administrative work and help with early intervention, questions about its accessibility, justice, and openness still exist. Many social workers stress that AI should be used in conjunction with human interaction with clients, not in instead of it. Data security, algorithmic bias, and fair access to AI-enhanced services are all issues that ethical and legal frameworks need to address. This study adds to the expanding body of knowledge regarding AI in social work by supporting a well-rounded strategy that incorporates AI's benefits while upholding the core human-centered principles of the field. Future policy suggestions include expanding digital literacy initiatives for underserved groups, providing social workers with AI ethics training, and putting in place transparent AI decision-making processes.