ai

AI Transparency and Explainability

AI transparency ensures that an AI system's data, algorithms, and models are accessible and understandable. Explainability (XAI) provides human-understandable reasons for its outputs. Both are foundational to trustworthy AI, mandated by regulations like the EU AI Act and frameworks like the NIST AI RMF, enabling accountability and risk mitigation.

Curated by Winners Consulting Services Co., Ltd.

Putting this into practice

Winners Consulting helps organizations turn this concept into workable policies, processes and audit readiness.

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Winners Consulting track record

Companies served: 20+

Named clients published with their permission: MediaTek (trade secret protection), MPI Corporation (ISO 27001 and trade secret protection), InfoLight (ISO 27001), Zhuoyuan Kejian Group × Hypercore Fitness (ISO 27001 and ISO 27701), Yifeng Metal Industry (TISAX / VDA ISA 6.0), the Joint Credit Information Center (JCIC) and Lativ (personal data protection)

Other clients are presented by industry under confidentiality agreements. See case studies | See all consulting services