Social Welfare and Artificial Intelligence's Role: A Comprehensive Summary of the Study

AI is a strong instrument with the potential to transform social welfare systems and improve individuals' and communities' overall well-being. This research study examines the uses, advantages, ethical issues, and possible obstacles of artificial intelligence in social welfare in depth. The concept of social welfare and its fundamental objectives of promoting social justice, equality, and overall quality of life are explained in detail at the beginning of the paper. It then digs into the different ways in which artificial intelligence is being utilized to resolve complex social issues and improve social government performance. Eliminating poverty is one crucial area where AI has significant potential. By utilizing artificial intelligence innovations, for example, information examination, prescient display, and choice of emotionally supportive networks, state-run administrations, and associations can more readily grasp destitution elements, distinguish weak populations, and configure designated mediations to ease neediness and upgrade social versatility. Man-made intelligence likewise assumes a vital role in further developing medical care access and conveyance. AI-powered systems have the potential to revolutionize healthcare by enhancing diagnostic accuracy, lowering costs, and facilitating personalized and preventive care, all the way through to optimizing treatment plans and drug discovery. Training is another space where computer-based intelligence can have a groundbreaking effect. AI-based assessment tools, adaptive learning platforms, and intelligent tutoring systems can meet individual learning needs, make it easier to get a personalized education, and close educational gaps, making education more accessible and fairer to everyone. In addition, AI technologies aid in crime prediction and prevention, which contributes to public safety. AI algorithms can identify high-risk areas, detect suspicious activities, and enable proactive law enforcement strategies by analyzing vast amounts of data, such as crime patterns, social media feeds, and surveillance footage. This enables improved outcomes for public safety. While the advantages of man-made intelligence in friendly government assistance are critical, moral contemplations cannot be neglected. The transparency and accountability of AI systems, algorithmic bias, and privacy concerns are all examined in depth in this paper. It stresses the significance of developing and implementing AI in a manner that upholds social values, fairness, and individual rights. In addition, the research paper discusses potential obstacles to applying AI to social welfare, such as the requirement of trustworthy data, digital infrastructure, and workforce upskilling.