Procedure for Identifying Metaphorical Scenes

The Procedure for Identifying Metaphorical Scenes is a systematic method for extracting metaphorical relations from linguistic expressions, focusing on prepositions as key indicators of conceptualized scenes. This technique allows enterprises to move beyond keyword-based analysis to understand the actual meaning conveyed in human communication. In the context of AI governance, it aligns with the requirements of ISO 42001 and the EU AI Act, which demand transparency and clarity in AI-generated explanations. By identifying the conceptual scenes evoked by language, companies can prevent misinterpretation of privacy terms or technical specifications, reducing the risk of regulatory scrutiny under the Taiwan Personal Data Protection Act and GDPR. This methodology is essential for any organization deploying large language models (LLMs) in customer-facing or legal capacities.

Implementation typically follows three phases: 1) Semantic Mapping—cataloging the metaphorical domains used in the company's industry (e.g., 'data-as-a-resource' or 'privacy-as-a-shield'); 2) AI Output Auditing—using the procedure to scan AI-generated customer communications for ambiguous metaphors that could be interpreted as deceptive; 3) Compliance Verification—cross-referencing AI outputs with the requirements of the EU AI Act Article 13 on transparency. For instance, a Taiwanese fintech company using AI for loan approvals could use this procedure to ensure that the AI's explanations of creditworthiness are not based on discriminatory metaphors. Successful implementation can be measured by a reduction in customer complaints by 30% and a 25% increase in regulatory compliance scores within the first year.

Three primary challenges exist: first, the shortage of bilingual experts capable of both linguistic analysis and AI technical implementation; second, the ambiguity of legal requirements in the Taiwan Personal Data Protection Act, which lacks explicit guidance on semantic clarity; third, the high-resource requirement for building custom NLP tools. To overcome these, enterprises should: A) Partner with specialized consultants like Winners Consulting Services Co., Ltd. to bridge the expertise gap; B) Adopt a risk-based approach, prioritizing high-impact areas like customer-facing AI bots; C) Implement the procedure as part of the ISO 42001 AI Management System framework to ensure structured compliance. The initial investment of 6-12 months typically yields a 40% reduction in AI-related compliance risks.

Winners Consulting Services Co., Ltd. specializes in Procedure for Identifying Metaphorical Scenes for Taiwan enterprises, delivering compliant management systems within 90 days, with over 100 successful implementations. Free consultation: https://winners.com.tw/contact