The concept of computing for social justice underscores the pivotal role of technology in addressing societal inequalities and fostering inclusive, equitable, and just communities. This abstract explores the key aspects of computing for social justice, emphasizing its potential to impact various domains, including education, healthcare, and economic empowerment. It examines the importance of ethical AI, digital literacy, and equitable access to technology in achieving social justice. By synthesizing computational innovations with ethical considerations, this approach seeks to bridge the digital divide and empower marginalized communities. The need for computing in the pursuit of social justice is significant and arises from several key factors. Firstly, computing enables the collection, analysis, and interpretation of vast amounts of data. By leveraging computational tools and techniques, researchers and activists can uncover patterns of inequality, discrimination, and systemic biases. This data-driven approach provides evidence to support social justice initiatives, identify areas of concern, and advocate for change. It allows for a deeper understanding of the root causes of social injustices and helps in formulating targeted interventions