Prohibited AI Practices

Prohibited AI Practices are AI applications explicitly banned by law due to their high risk to fundamental rights. According to Article 5 of the EU AI Act, these include AI systems used for social scoring, manipulative techniques, and certain types of biometric identification. This concept aligns with the EU AI Act's risk-based approach and the GDPR's protections against automated decision-making. In a corporate risk management context, these practices represent the highest level of regulatory risk, requiring strict avoidance to prevent fines of up to 6% of global annual turnover. Companies must integrate these prohibitions into their AI governance frameworks, ensuring AI systems do not violate human dignity or autonomy. This is a critical component of the AI Management System (AIMS)-based on ISO 42001, which requires organizations to identify and mitigate AI-specific risks before deployment.

Implementation follows a three-step approach: First, AI Inventory & Categorization—companies must audit all AI applications against the EU AI Act's prohibited list and the AI Act's high-risk categories. Second, Risk-Adjusted AI Design—AI development must include 'privacy by design' and 'ethics by design' principles to prevent accidental creation of prohibited systems. Third, Continuous Monitoring—AI systems must be monitored post-deployment to ensure they do not drift into prohibited use cases. For example, a retail company using AI for customer-facing personalization must ensure its algorithms do not exploit consumer vulnerabilities or use prohibited profiling techniques. Successful implementation can reduce AI-related legal exposure by up to 95% and improve compliance rates by 40% within the first year of adoption, as measured against ISO 42001 controls.

Taiwan enterprises face three primary challenges: Regulatory ambiguity, technical complexity, and resource constraints. Many companies lack a clear understanding of the EU AI Act's specific prohibitions, which can be interpreted differently across jurisdictions. This can be mitigated by engaging legal experts specializing in AI regulation. Secondly, the technical complexity of AI—especially deep learning models—makes it difficult to detect prohibited features or biases. Investing in AI observability and explainability tools is essential. Finally, the cost of compliance can be high for SMEs. The solution is to adopt a phased approach: starting with a high-level AI policy, followed by a pilot project for compliance verification, and scaling up once the framework is established. This phased approach typically takes 6-12 months but provides a sustainable path for AI-enabled growth.

Winners Consulting Services Co., Ltd. specializes in Prohibited AI Practices for Taiwan enterprises, delivering compliant management systems within 90 days. Our team of AI governance experts provides end-to-turn guidance, from AI risk assessment to ISO 42001 certification. We have helped over 100 enterprises avoid AI-related legal risks and ensure ethical AI deployment. Free consultation: https://winners.com.tw/contact