Search results

[…] AI Systems Providers : High- Risk AI systems need to undergo a conformit y assessment (Ar t. 43) before being placed in the market or put into service (i.e. data quality, documentation and traceability, transparency, human oversight, accuracy, cybersecurity and robustness – Arts. 9-15); This assessment has to be repeated if the system or […]

[…] AI Systems Providers : High- Risk AI systems need to undergo a conformit y assessment (Ar t. 43) before being placed in the market or put into service (i.e. data quality, documentation and traceability, transparency, human oversight, accuracy, cybersecurity and robustness – Arts. 9-15); This assessment has to be repeated if the system or […]

[…] (2) “human-out-the-loop” (when it is not practical to subject every algorithmic recommendation to a human review); or (3) “human- over-the-loop” (to allow humans to intervene when situations call for it). To assess which of these approaches are appropriate, the Model Framework recommends organizations consider a 2-by-2 matrix of probability and severity of risk. In […]

[…] (2) “human-out-the-loop” (when it is not practical to subject every algorithmic recommendation to a human review); or (3) “human- over-the-loop” (to allow humans to intervene when situations call for it). To assess which of these approaches are appropriate, the Model Framework recommends organizations consider a 2-by-2 matrix of probability and severity of risk. In […]

[…] (2) “human-out-the-loop” (when it is not practical to subject every algorithmic recommendation to a human review); or (3) “human- over-the-loop” (to allow humans to intervene when situations call for it). To assess which of these approaches are appropriate, the Model Framework recommends organizations consider a 2-by-2 matrix of probability and severity of risk. In […]

[…] Office of Japan released the “Social Principles of Human-Centric AI” (人間中心の AI 社会 原則) 157 on 29 March 2019. The Principles highlight the benefits of AI and call for transformation of the whole of Japanese society – including human resources, social systems, industrial structures, innovation, and governance – into an “AI Ready Society” that […]

[…] algorithm allowed for the creation of AI models that can be trained efficiently on massive amounts of data. Further, while much attention has been paid to so- called “general purpose” 9 generative AI models (such as OpenAI’s ChatGPT, Google’s Gemini, and Anthropic’s Claude), there are narrower, use-case specific models that are trained on highly […]

[…] workloads or the underlying system and platform.” Intel “Confidential Computing offers a hardware-based security solution des igned to help protect data in use via unique application-isolation technology called a Trusted Execution Environment (TEE).” Confidential Computing Consortium “Confidential Computing is the protection of data in use by performing computation in a hardware-based, attested Trusted Execution […]

[…] algorithm allowed for the creation of AI models that can be trained efficiently on massive amounts of data. Further, while much attention has been paid to so- called “general purpose” 9 generative AI models (such as OpenAI’s ChatGPT, Google’s Gemini, and Anthropic’s Claude), there are narrower, use-case specific models that are trained on highly […]

[…] the measures pursuant to Regulation (EU) 2019/1020. (Art. 3(26)) National Competent Authority : A notifying authority or a market surveillance authority; as regards AI systems put into service or used by Union institutions, agencies, offices and bodies, references to national competent authorities or market surveillance authorities in this Regulation shall be construed as references […]