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The Telecom Engineering Centre (TEC) has proposed a risk-based approach for evaluating the robustness of AI systems, aligning with the European Union's AI regulations. Companies using AI technologies with consumer interfaces must self-certify their models or have them certified by third-party agencies to ensure user safety. The government will establish broad standards for reliability, explainability, transparency, privacy, and security, promoting innovation while maintaining a light regulatory touch.
The TEC's draft consultation paper outlines a three-tier risk ranking system for AI robustness, categorizing systems as high, medium, or low risk based on various parameters. This new approach marks a shift from previous regulations that required government approval for AI models before public release. Recently, the Ministry of Electronics and IT (MeitY) approved eight responsible AI projects aimed at fostering safe and trusted AI applications.
• TEC recommends self-certification for AI models to ensure user safety.
• MeitY approved eight responsible AI projects for safe and trusted AI.
Self-certification allows companies to validate their AI models without government intervention.
Robustness assessment evaluates how well AI systems maintain functionality under various conditions.
A risk-based approach categorizes AI systems based on their potential impact and vulnerabilities.
MeitY oversees the development of AI regulations and has approved several responsible AI projects.
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