Emerging technologies like artificial intelligence (AI) have introduced an innovative era to the internal audit profession and are constantly evolving in environmental, social, and governance (ESG) aspects. If auditors want to remain relevant in this transitional period, they have to welcome change, gain new abilities, and embrace developments integrated with high standards of ethical compliance and governance.
AI in Internal Audit: Possibilities and Problems
Advances in AI technology have changed the internal audit profession, automating simple tasks, increasing data analysis capabilities, and improving risk discovery. Machine learning algorithms “delve” into large sets of data to identify patterns, abnormalities, and risk areas. NLP features empower auditors to rapidly “get up to speed” on contracts, policies, and regulatory changes.
But on the flip side, new development also poses challenges:
The inherent bias in AI models: AI systems that are biased because of their training data will deliver avoidable and wrong conclusions.
Reduced human judgment: Overreliance on AI can lead to the loss of critical thinking and professional scepticism.
Risk of cyberattacks when data is processed in AI systems: This increases the chances of data breaches and compliance failures, involving sensitive organisational data.
Auditors must expand their knowledge of AI: how it works and how it might be vulnerable, so that they can make the best use of AI. "If auditors are to remain effective and become valuable in a fast-changing landscape, they must constantly upskill themselves in emerging technologies, AI and blockchain," says Nirpendra Ajmera, chief audit executive of Qulliq Energy Corporation.
ESG and internal audit: a new era of accountability
ESG has become an essential feature in any organisation’s strategy, as shareholders demand greater transparency in sustainability and ethical governance issues. In the context of ESG, internal audit obligations include the following:
Checking ESG frameworks: Ensuring that the organisation’s ESG policies comply with international regulatory policies and best practices.
Verifying data integrity: Verifying that ESG performance indicators reported to various stakeholders are valid.
Accessing risks: Identifying risks against non-compliance with environmental standards.
Conclusion
The integration of AI and ESG is changing the internal audit landscape so that it can create more opportunities and challenges. For them to remain relevant, auditors must embrace technology, ensure transparency and align with the broader goals of the organization. This integration of AI tools in ESG compliance gives operational efficiency as well as strengthens the organization’s commitment to sustainable development. As Ajmera says, “The future of internal audit lies in the ability to adapt, innovate and maintain trust in the ever-changing transformation.”