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.
Keywords: AI, Algorithmic predisposition, Customized training, Comprehensive society, Information examination, Medical care, Moral contemplations, Neediness easing, Prescient displaying, Public wellbeing, Simulated intelligence, Schooling.
