Producing Artificial Intelligent Systems

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-

Chapter Trust in Robot Benchmarking and Benchmarking for Trustworthy Robots is available open access under a Creative Commons Attribution 4.0 International License via link.springer.com.

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

Inhalt
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