Description

Internal investigations have become increasingly important in recent years, as companies face a growing range of risks, including financial fraud, corruption, and workplace misconduct. AI companies are no exception, and in fact, may face unique challenges in conducting internal investigations due to the complexity and opacity of AI systems. AI systems are often complex and opaque, making it difficult to understand how they work and to identify and investigate potential misconduct. This report provides guidance on how to audit AI companies for corporate internal investigations in India.

AI companies face a number of unique risks that necessitate the conduct of internal investigations. First, AI systems are often complex and opaque, making it difficult to understand how they work and to identify and investigate potential misconduct. Second, AI systems may be used to collect and process sensitive data, which raises concerns about privacy and confidentiality. Third, AI systems are still relatively new and untested, and there is a risk that they could be used for malicious purposes. The report covers a wide range of topics, including:

• The importance of internal investigations in AI companies
• The challenges of auditing AI systems
• Useful practices for auditing AI companies from a perspective of corporate governance.