Artificial Intelligence in CSR Evaluation: A Community-Centred Social  Work Perspective

Manju Vaishnavi; Baskar R

Artificial Intelligence in CSR Evaluation: A Community-Centred Social Work Perspective

Author(s)	Ms. Manju Vaishnavi, Dr. Baskar R
Country	India
Abstract	Corporate Social Responsibility (CSR) evaluation in India has traditionally emphasized expenditure and activity reporting, often overlooking whether programmes generate meaningful and sustainable social outcomes. With the growing availability of digital data from CSR records, surveys, NGO reports, government sources, and online platforms, Artificial Intelligence (AI) offers new possibilities for monitoring, analysing, and assessing CSR impact. However, AI-based evaluation raises critical concerns about data quality, algorithmic bias, privacy, transparency, and the underrepresentation of marginalized communities in digital datasets. This paper examines emerging applications of AI in CSR evaluation, including data analytics, Natural Language Processing (NLP), continuous monitoring, predictive analytics, and ESG reporting. It analyses both the opportunities—such as greater efficiency, a broader evidence base, adaptive management, and improved decision-making—and the ethical challenges associated with AI-assisted evaluation. The paper argues that AI should function as a support tool rather than an independent evaluator. To address this, the paper proposes a community-centred, AI-assisted CSR evaluation framework integrating five stages: (1) clear CSR objectives, (2) multiple sources of evidence, (3) AI-assisted analysis, (4) community and professional validation, and (5) evidence-based programme improvement. The framework positions AI as an analytical aid, communities as holders of lived experience, and social workers as interpreters, ethical reviewers, and facilitators of stakeholder engagement. The paper concludes with recommendations for responsible AI use, including data standards, ethical safeguards, inclusive participation, and the integration of social workers into evaluation teams. Future empirical research is needed to test this framework across different CSR sectors and community contexts.
Keywords	Corporate Social Responsibility (CSR); Artificial Intelligence (AI); CSR evaluation; Natural Language Processing (NLP); social impact assessment; community participation; social work practice; ethical AI; ESG reporting; India.
Discipline	Other
Published In	Volume 4, Issue 5, September-October 2026
Published On	2026-10-08

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Artificial Intelligence in CSR Evaluation: A Community-Centred Social Work Perspective

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