Kooperativer Bibliotheksverbund

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Format: 1 online resource (173 pages)

Edition: 1st ed.

ISBN: 9783031558177

Series Statement: Studies in Computational Intelligence Series ; v.1150

Note: Intro -- Preface -- Contents -- On the Relationship Between Benchmarking, Standards and Certification in Robotics and AI -- 1 Introduction -- 2 Benchmarks -- 3 Standards -- 4 Linking Benchmarks, Standards and Certification -- 4.1 Regulation and Related Standards in Robotics -- 4.2 Regulation and Related Standards in AI -- 5 Discussion and Conclusions -- References -- Confiance.ai Program Software Engineering for a Trustworthy AI -- 1 Introduction -- 2 Reminders About AI -- 2.1 What is AI? -- 2.2 Technologies -- 2.3 Applications -- 3 Weaknesses of AI -- 3.1 Unknown Unknown, Data Obsolescence -- 3.2 Data Bias -- 3.3 Lack of Robustness, Adversarial Attacks -- 4 Regulation -- 5 The Confiance.ai Program -- 5.1 Aim -- 5.2 Consortium -- 5.3 Structure of the Program -- 5.4 Use Cases -- 5.5 Deliverables -- 5.6 An Open Consortium -- 6 Results -- 6.1 Robustness Assessment -- 6.2 Robustness by Design -- 6.3 Explainability -- 7 Conclusion -- References -- Trust in Robot Benchmarking and Benchmarking for Trustworthy Robots -- 1 Introduction -- 2 Progressive and Iterative Robot Benchmarking -- 2.1 Dataset-Based Evaluation -- 2.2 Remote Evaluation -- 2.3 Functional Benchmark -- 2.4 Task Benchmark -- 2.5 Completing the Cycle -- 3 Developing Benchmarks for Trustworthy Robots -- 3.1 Datasets -- 3.2 Benchmark Definition for Field Campaigns -- 3.3 Social Acceptance -- 4 Conclusions -- References -- Trustworthy Artificial Intelligence in the Context of Metrology -- 1 Introduction -- 2 Research on TAI at NPL -- 2.1 Explainable AI -- 2.2 A Metrology Framework for Uncertainty Evaluation in Machine Learning -- 2.3 Good Practice in Training Set Preparation for Marine Navigation Systems -- 3 Certification of AI Systems -- 4 Concluding Remarks -- References -- Performance Modelling of Autonomous Mobile Robot Software Components -- 1 Introduction. , 2 Background and Literature Review -- 2.1 Benchmarking Complete Robot Systems -- 2.2 Benchmarking 2D SLAM and Localization Methods -- 2.3 Benchmarking Autonomous Navigation Methods -- 3 Performance Modelling Methodology -- 3.1 Formal Definition -- 3.2 Performance Model Composition -- 4 Component Performance Modelling -- 4.1 Experimental Setup and Protocol -- 4.2 Environment Features -- 4.3 Performance Metrics -- 5 Use Case: SLAM Performance Models -- 6 Use Case: Local Planning Performance Models -- 7 Use Case: Autonomous Navigation Performance Models -- 8 Conclusions and Future Work -- References -- Towards Standardization of Interaction Design: Cognitive Developmental Robotics Revisited -- 1 Cognitive Developmental Robotics and Its Philosophical Background -- 2 Revisiting the Physical Embodiment and Social Interaction -- 3 The Meaning of Physical Body (Ecological Self) -- 4 Between Embodiment and Social Interaction (Interpersonal Self) -- 5 Social Interactions (Social Self) -- 6 Discussion -- References -- KPI-Driven Metric Acquisition Methodology with a Energy-Centric Robotic Performance Case Study -- 1 Introduction -- 2 KPI-Driven Methodologies and Applications -- 3 Energy Condition Monitoring for Robotic Performance -- 3.1 Approach Overview -- 3.2 Proposed Motivating Factors -- 3.3 Experimental Test Bed -- 3.4 Data Acquisition -- 3.5 Network Gateway -- 3.6 Data Management -- 3.7 Data Visualisation -- 3.8 Data-Flow Between Layers -- 4 Energy-Targeted Visualisation -- 4.1 KPIs and Metrics -- 4.2 Dashboard Designs -- 5 Discussion -- 6 Conclusion and Future Works -- References -- Co-regulation and AI-Innovation: Principles for a Sustainable Framework Fostering Innovation and Acceptance of AI -- 1 Introduction -- 2 Co-regulation Under the Proposed AI-Act -- 3 Formal Aspects: Regulatory Quality -- 3.1 EU Perspective. , 3.2 AI-Act and Co-regulatory Quality -- 4 Material Aspects: Innovators Perspective -- 4.1 Legal Certainty, Stringency, and Flexibility in Theory -- 4.2 Legal Certainty, Stringency, and Flexibility in the AI-Act -- 5 Material Aspects: Consumers Perspective -- 5.1 Risk and Trust in Theory -- 5.2 Risk and Trust in the AI-Act -- 6 Conclusions and Recommendations -- References -- Prolegomenon for a Family of Theorems Regarding Trustworthiness in Autonomous Artificial Agents -- 1 Introduction -- 2 What Autonomy in Artificial Agents Is Not -- 3 The Cycle of Autonomy and Its Key Factors -- 4 The Trust Relation script upper TmathcalT -- 5 A Worrisome Case Study -- 6 The Future -- References -- The Quest for an AI Ethics: Between Benevolence and Greed -- 1 An Ontological Paradigm Shift: When Tools Become Autonomous Entities -- 2 The Existence-Centered Ethical Framework: The Imperative of Responsibility -- 3 The Metrics for Responsible AI -- 4 Regulatory Frameworks and Governance -- 5 The Myth of Cooperation -- References.

Additional Edition: Print version: Aldinhas Ferreira, Maria Isabel Producing Artificial Intelligent Systems Cham : Springer International Publishing AG,c2024 ISBN 9783031558160

Language: English