The Centre of AI for Social Good (CAISG) at Ramaiah University of Applied Sciences (RUAS) envisions becoming a leading hub for integrating Artificial Intelligence (AI) with science, social science, and people science to achieve meaningful and measurable social transformation.
AI for Social Good focuses on leveraging advanced AI technologies to address pressing societal challenges while promoting equity, inclusion, and sustainable development. The Centre applies ethical, human-centric AI solutions across critical domains such as health, education, livelihoods, and public policy, with the goal of generating real-world social impact.
Established in June 2024, CAISG is jointly led by the School of Social Sciences and the School of Law. Since its inception, the Centre has undertaken several initiatives aimed at building interdisciplinary AI-driven solutions for societal benefit. The Centre adopts a collaborative and interdisciplinary approach, bringing together academia, industry, government bodies, and not-for-profit organizations.
CAISG also serves as a platform for knowledge sharing, workshops, training programmes, and collaborative research initiatives, fostering innovation that aligns technology with social responsibility.
Vision
Integrating AI with science, social science, and people science for impactful social transformation.
Mission
To deploy AI and data science techniques to generate solutions to social challenges, promote equity, and enhance the quality of life.
Objectives
Focus on developing AI and data science-based use-case applications in key thematic areas - health, education, livelihoods, and sustainable development; through an interdisciplinary approach to enhance social good.
Establish a strong industry connect to list social problems that can benefit best from the application of AI-ML solutions.
Scope of Work
The Centre will focus on applied research addressing issues in healthcare, education, environment, and sustainable development. Key activities include ethical data collection and curation, data-driven analysis, AI tool development, submission of joint research proposals involving academia, industry and non-profits, and evidence-based policy recommendations. The Centre also emphasizes community engagement through participatory design and promotes AI literacy, training and capacity building across diverse audiences.
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