The impact of AI bias on social justice: challenges and solutions

This paper analyzes the wide-ranging impact of artificial intelligence (AI) bias on social equity, especially in key areas such as healthcare, education, and employment. With the rapid development of AI technology, its potential bias problems have been gradually exposed and attracted widespread attention. To this end, this paper not only explores the manifestations and causes of AI biases, but also proposes specific mitigation strategies, such as through improving data diversity, enhancing algorithm transparency, promoting interdisciplinary cooperation, and establishing a sound regulatory framework, with a view to reducing the negative impact of AI biases on social equity and promoting the fair application of AI technologies in various fields of society.