Artificial Intelligence in the Financial Sector: Enhancing CSR Transparency and Ethical Accountability
DOI:
https://doi.org/10.5281/zenodo.21056659Keywords:
Artificial Intelligence, Corporate Social Responsibility, Transparency, Accountability, Greenwashing, Stakeholder EngagementAbstract
Corporate Social Responsibility (CSR) has evolved from voluntary philanthropy to a strategic imperative requiring measurable outcomes, transparent reporting, and stakeholder accountability. However, traditional CSR management systems face persistent challenges, including data fragmentation, impact measurement inconsistencies, greenwashing risks, and limited real-time stakeholder engagement. This mini-research explores the role of Artificial Intelligence (AI) in enhancing CSR transparency and accountability across organizational contexts. The study employed a qualitative systematic review design, synthesizing peer-reviewed literature from 2020 to 2025 across information systems, business ethics, sustainability management, and artificial intelligence domains. Database searches in Scopus, Web of Science, and Google Scholar yielded 52 studies meeting inclusion criteria. AI applications demonstrated significant potential across four domains: automated data integration reducing processing time by 35-45%; natural language processing achieving 87-93% accuracy in detecting inconsistent CSR claims; real-time dashboards increasing stakeholder engagement by 35-50%; and anomaly detection achieving 78-84% precision in greenwashing identification. However, implementation barriers persist including data quality limitations, algorithmic bias risks, interpretability challenges, and resource constraints. AI can meaningfully enhance CSR transparency and accountability when deployed with appropriate governance frameworks. Current evidence indicates that AI cannot independently adjudicate CSR claims without human oversight. Organizations should adopt human-in-the-loop designs, establish algorithmic transparency disclosures, and implement multi-stakeholder governance mechanisms.
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