Producing Artificial Intelligent Systems: The Roles of Benchmarking, Standardisation and Certification: Studies in Computational Intelligence, cartea 1150
Editat de Maria Isabel Aldinhas Ferreiraen Limba Engleză Hardback – 5 iun 2024
In an evolving and uneven regulatory context, balancing fast technological development and the safe and ethical use of these new disruptive technologies, with an expected total economic impact of 4.4 trillion dollars annually, becomes presently the biggest challenge.
The present book addresses the fundamental role played by the three milestones- Benchmarking, Standardization, and Certification that are part of the developmental loop of all products in developed economies. The essential role played by these milestones and the importance of defining accurate general and specific metrics is addressed in this book with particular case studies in the domains of Robotics and AI-
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Specificații
ISBN-13: 9783031558160
ISBN-10: 3031558162
Ilustrații: XII, 167 p. 46 illus., 38 illus. in color.
Dimensiuni: 155 x 235 mm
Greutate: 0.43 kg
Ediția:2024
Editura: Springer Nature Switzerland
Colecția Springer
Seria Studies in Computational Intelligence
Locul publicării:Cham, Switzerland
ISBN-10: 3031558162
Ilustrații: XII, 167 p. 46 illus., 38 illus. in color.
Dimensiuni: 155 x 235 mm
Greutate: 0.43 kg
Ediția:2024
Editura: Springer Nature Switzerland
Colecția Springer
Seria Studies in Computational Intelligence
Locul publicării:Cham, Switzerland
Cuprins
On the relationship between Benchmarking, Standardisation and Certification in Robotics and AI.- Confiance.ai Program, Software Engineering for Trustworthy AI.- Trust in Robot Benchmarking and Benchmarking for Trustworthy Robots.- Trustworthy Artificial Intelligence in the Context of Metrology.- Performance Modelling of Autonomous Mobile Robot Software Components.- Towards Standardization of Interaction Design: Cognitive Developmental Robotics Revisited.- KPI-driven Energy Monitoring Dashboards for Robotic Performance.- Co-Regulation and AI Innovation.- Prolegomenon for a Family of Theorems Regarding Trustworthiness in Autonomous Artificial Agents.- The Quest for an AI Ethics: Between Benevolence and Greed
Textul de pe ultima copertă
The fast development of intelligent technologies in the previous years, their boost during the COVID crisis, and their huge acceleration with the proliferation of the Large Language Models has led industry, governance, legislators and regulators to race to achieve production control, striving to define regional and global regulatory frameworks, capable of guaranteeing their safe deployment.
In an evolving and uneven regulatory context, balancing fast technological development and the safe and ethical use of these new disruptive technologies, with an expected total economic impact of 4.4 trillion dollars annually, becomes presently the biggest challenge.
The present book addresses the fundamental role played by the three milestones- Benchmarking, Standardization, and Certification that are part of the developmental loop of all products in developed economies. The essential role played by these milestones and the importance of defining accurate general and specific metrics is addressed in this book with particular case studies in the domains of Robotics and AI-
In an evolving and uneven regulatory context, balancing fast technological development and the safe and ethical use of these new disruptive technologies, with an expected total economic impact of 4.4 trillion dollars annually, becomes presently the biggest challenge.
The present book addresses the fundamental role played by the three milestones- Benchmarking, Standardization, and Certification that are part of the developmental loop of all products in developed economies. The essential role played by these milestones and the importance of defining accurate general and specific metrics is addressed in this book with particular case studies in the domains of Robotics and AI-
Caracteristici
Addresses the roles of Benchmarking, Standardization, and Certification Presents recent research on Producing Artificial Intelligent Systems Focuses on the production pipeline of efficient, safe, and reliable embodied and non-embodied AIS