Artificial intelligence (AI) is transforming how organizations enhance their environmental, social, and governance (ESG) performance, particularly within global supply chains. With recent European Union directives mandating extensive ESG and sustainability disclosures, AI’s role in data processing and analytics becomes critical. AI optimizes carbon footprint reduction, resource usage, energy management, and biodiversity protection, significantly boosting environmental sustainability. It also enhances social responsibility by monitoring labor rights, ensuring ethical sourcing, promoting workplace safety, and assessing community impacts. Governance practices benefit through advanced compliance monitoring, risk management, and data security. However, leveraging AI brings risks like data privacy issues, algorithmic biases, overreliance on technology, and regulatory challenges. Strategies to mitigate these risks include enhancing cybersecurity, ensuring bias mitigation, fostering human-AI collaboration, maintaining AI accuracy, and complying with regulations. Balancing technological innovation with ethical, legal, and operational frameworks ensures AI’s effective and responsible integration into supply chains, leading to resilient and sustainable operations.

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