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Towards the Safety of Critical Embedded Systems Based on Artificial Intelligence: the Standardization Landscape

Towards the Safety of Critical Embedded Systems Based on Artificial Intelligence: the Standardization Landscape

by Janine Marie Gehrig Lux | Mar 23, 2023 | Uncategorized

AI safety means ensuring that the operation of an AI system does not contain any unacceptable risks . It is essential to ensure that the AI system operates reliably, that unintended behavior is mitigated and that it is possible to explain how the AI system arrived at a particular decision

SAFEXPLAIN facilitates the safety certification of critical autonomous AI-based systemsfor a more competitive EU industry

SAFEXPLAIN facilitates the safety certification of critical autonomous AI-based systems
for a more competitive EU industry

by Janine Marie Gehrig Lux | Feb 13, 2023 | Uncategorized

Barcelona, 13 February 2023. – The EU-funded SAFEXPLAIN (Safe and Explainable CriticalEmbedded Systems based on AI) project, launched on 1 October 2022, seeks to lay the foundationfor Critical Autonomous AI-based Systems (CAIS) applications that are smarter and...
Recognizing the Contributions of Women in Science

Recognizing the Contributions of Women in Science

by Janine Marie Gehrig Lux | Feb 10, 2023 | Uncategorized

Women have made huge contributions to the scientific community. Raising their visibility and representation of women in science is key for ensuring that the next generation of scientists have positive role models and learn to value diversity and equity in...

Recent Posts

  • Towards the Safety of Critical Embedded Systems Based on Artificial Intelligence: the Standardization Landscape
  • SAFEXPLAIN facilitates the safety certification of critical autonomous AI-based systems
    for a more competitive EU industry
  • Recognizing the Contributions of Women in Science
  • Safexplain at HiPEAC conference 2023
  • Safexplain starts its activities

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    This project has received funding from the European Union’s Horizon Europe programme under grant agreement number 101069595.

    This project has received funding from the European Union’s Horizon Europe programme under grant agreement number 101069595.

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