Status update on Radio Equipment Directive, Cyber Resilience Act and AI Act - Seguridad Mania.com - España y América Latina
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Estás en »Webinars
Estás en »Webinars
Jueves 15 de Dic, 2022
This Webinar is providing an overview on current initiatives by the European Commission driving a number of key policy initiatives related to Cybersecurity, Privacy, protection against fraud and Artificial Intelligence from a standardization point of view. In this context, new essential requirements are being introduced which are required to be met by equipment manufacturers in order to maintain continued access to the Single European market. A Delegated Act was issued related to the Radio Equipment Directive (RED) invoking RED Articles 3(3)(d), 3(3)(e) and 3(3)(f) related to Cybersecurity, Privacy and protection against fraud respectively for radio equipment. In the context of the Cyber Resilience Act (CRA), a broad concept of “digital elements” is being introduced for which new essential requirements are being defined. CRA explicitly relates to software such as Operating Systems as well as hardware components such as Microprocessors and others. The Artificial Intelligence Act (AI Act) is furthermore providing a broad legal framework for future AI systems. The Webinar will enable the participant to understand the current status of the related activity and possibilities to influence the implementation of the regulation initiatives through participation in standardization activities. Information about the speaker: Dr. Markus Mueck is a Principal Engineer with Intel Deutschland, Munich, Germany and an Engineering Director leading Intel Germany’s Standardization organization; he acts as Member of the Board of the 5G Automotive Association (5GAA), Vice-Chair of the ETSI Board, Vice-Chair of the ETSI OCG AI Committee overseeing ETSI’s AI/ML activities, he is member of the ETSI Delegation to 3GPP PCG/OP and Adj. Professor of University of Technology, Sydney, Australia. He is leading the Hexa-X Working Package on Artificial Intelligence and Machine Learning.
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