Content for Mains Enrichment
Source: TH
Recently, CAG, Girish Chandra Murmu, emphasized utilizing AI for auditing. However, it must be done ethically and accurately.
Challenges in AI auditing:
It includes ensuring ethical AI use, addressing data integrity and bias issues, regulating and standardizing AI, creating international audit frameworks, adapting existing frameworks, managing complex data, and involving specialists in AI audit assignments.
Regulation of AI:
| Regulatory Actions | Description |
| Global Level Regulatory Action | |
| EU AI Act | European Parliament approved the act. It introduces new rules and scrutiny for AI tools, including ChatGPT. |
| Requires developers to have their AI systems reviewed and approved for commercial use. | |
| Restricts real-time biometric surveillance and “social scoring” systems. | |
| UK’s AI Safety Regulation Intent | UK wants to be a hub for AI safety regulation. It has indicated a move towards detailed AI regulatory practices. |
| AI Auditing Frameworks | Various global frameworks for AI auditing exist, including COBIT and COSO ERM Frameworks. |
| UK’s Information Commissioner’s Office published draft guidance on an AI auditing framework. | |
| Indian-Level Regulatory Actions | |
| Digitalization of Audit Process | The CAG in India will implement “One Indian Audit and Accounts Department One System,” a web-enabled IT application, to digitalize the audit process. |
India recognizes the need to establish AI regulation, influenced by global initiatives like the EU. However, specific Indian regulatory actions for AI are yet to be detailed.
Usage: The examples can be used in questions related to E-Governance
