PRISMA-ScR

PRISMA-ScR (PRISMA Extension for Scoping Reviews) is a reporting guideline developed by the PRISMA group in 2020, specifically tailored for scoping reviews. Unlike systematic reviews that focus on causal inferences, scoping reviews aim to map the breadth of available research on a particular topic. PRISMA-ScR provides a structured framework for reporting research questions, search strategies, eligibility criteria, data-extraction processes, and results. In AI governance, this ensures that AI risk assessments are built on a comprehensive, transparent, and reproducible knowledge base, aligning with the requirements of ISO 42001 AI Management System and the EU AI Act's emphasis on evidence-based risk assessment.

Enterprise application of PRISMA-ScR follows three key steps: 1) Define the scope of AI risk--identifying specific AI technologies, use cases, and regulatory domains of interest. 2) Systematically collect and screen AI-related research, technical papers, and regulatory documents using the PRISMA-ScR checklist to ensure no critical risks are overlooked. 3) Synthesize findings into an AI Risk Register, mapping identified risks to controls. For example, a European automotive company used this methodology to audit 85 AI-related technical papers, identifying 12 critical risks in autonomous driving algorithms, which led to a 40% reduction in pre-deployment compliance failures. This systematic approach ensures AI systems are grounded in the latest peer-reviewed safety and ethical research.

Taiwan enterprises typically face three challenges: shortage of AI governance specialists, difficulty in accessing high-quality technical research, and the need to align with both local regulations (like the AI Basic Law) and international standards (EU AI Act, ISO 42001). To overcome these, enterprises should: 1) Invest in upskilling existing compliance teams in AI-specific research methodologies. 2) Partner with academic institutions or specialized consultants like Winners Consulting Services Co., Ltd. to access high-quality research insights. 3) Implement a phased approach—starting with a 90-day pilot project to demonstrate ROI before scaling across the organization. This structured approach ensures the AI risk-adjusted-ROI--a critical metric for AI adoption—is clearly communicated to stakeholders.

Winners Consulting Services Co., Ltd. specializes in PRISMA-ScR for Taiwan enterprises, delivering compliant management systems within 90 days. Free consultation: https://winners.com.tw/contact