Introduction
The European Union’s AI Act has sent shockwaves across the globe, becoming a clarion call for data protection and a gold standard for measuring government policies. As the first enforceable legislation for AI development, the EU AI Act has the potential to become a governance template for other nations. To understand its relevance and potential impact, this article examines the EU AI Act and its risk-based approach to regulating AI systems according to the level of risk they pose.
The EU AI Act: A Risk-Based Approach to Regulation
The EU AI Act categorizes AI systems into four risk categories, each with its own set of guidelines and requirements. The risk categories are based on the level of risk an AI system poses to individuals, society, or the environment. The four categories are:
- Minimal Risk: AI systems that are deemed to pose minimal risk to individuals, society, or the environment are classified as Minimal Risk. These AI systems are subject to limited regulatory requirements and are considered to be low-risk.
- Low-Risk: AI systems that are deemed to pose low risk to individuals, society, or the environment are classified as Low-Risk. These AI systems are subject to more stringent regulatory requirements than Minimal Risk AI systems and are considered to be moderate-risk.
- High-Risk: AI systems that are deemed to pose high risk to individuals, society, or the environment are classified as High-Risk. These AI systems are subject to the most stringent regulatory requirements and are considered to be high-risk.
- Unacceptable Risk: AI systems that are deemed to pose unacceptable risk to individuals, society, or the environment are classified as Unacceptable Risk. These AI systems are subject to strict regulatory requirements and are considered to be extremely high-risk.
Establishing a Risk-Based Approach to AI Regulation
The EU AI Act requires the development of evidence-based methodologies to explicate when and how AI systems cross the risk thresholds. Establishing more rigorous and transparent standards for risk assessment and management would allow the EU to avoid overregulation and address tangible risks posed by AI systems.
Conclusion
The EU AI Act’s risk-based approach to regulating AI systems is a significant step forward in ensuring the safe and responsible development of AI. By categorizing AI systems into four risk categories and establishing strict regulatory requirements for High-Risk AI systems, the EU AI Act sets a high standard for AI regulation. As other nations look to the EU’s AI Act as a governance template, it is essential to understand the implications of this legislation and its potential impact on the development of AI systems.
Originally published on https://www.communicationstoday.co.in/eu-issues-guidelines-for-high-risk-ai-models-under-ai-act/
