{"id":37373,"date":"2025-04-03T08:33:42","date_gmt":"2025-04-03T06:33:42","guid":{"rendered":"https:\/\/www.m-q.ch\/?p=21263"},"modified":"2025-04-02T13:22:34","modified_gmt":"2025-04-02T11:22:34","slug":"zhaw-entwickelt-zertifizierungsschema-fuer-ki-systeme","status":"publish","type":"post","link":"https:\/\/www.organisator.ch\/en\/operational-excellence\/2025-04-03\/zhaw-entwickelt-zertifizierungsschema-fuer-ki-systeme\/","title":{"rendered":"ZHAW develops certification scheme for AI systems"},"content":{"rendered":"
\"\"\r\n
Project management \"CertAInty\": Dr. Ricardo Chavarriaga and Dr. Joanna Weng. (Image: ZHAW School of Engineering)<\/figcaption>\r\n<\/figure>\r\n

Artificial intelligence (AI) is increasingly being used in safety-critical areas, making the trustworthiness of these systems ever more important. Inadequately evaluated AI systems can cause serious social risks - from discriminatory algorithms and physical safety risks to misdiagnosis in a medical context.<\/p>\r\n

Certification scheme as a bridge between technology and regulation<\/h3>\r\n

The Centre for Artificial Intelligence (CAI) and the Institute of Applied Mathematics and Physics (IAMP) at the ZHAW School of Engineering are jointly researching this current topic. The result is the \"CertAInty\" certification scheme, which provides a structured framework for the assessment of AI technologies. \"The certification of AI systems by an accredited body increases trust, accelerates acceptance and enables their use in safety-critical applications,\" explains Ricardo Chavarriaga from the ZHAW School of Engineering. Joanna Weng, who is leading the project together with him, explains: \"The CertAInty scheme bridges the gap between the abstract regulatory requirements of the EU AI Act and concrete technical methods for the assessment of AI systems.\"<\/p>\r\n

Four core aspects of trustworthiness<\/strong><\/h3>\r\n

The certification scheme comprises four central dimensions:<\/p>\r\n