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Towards Trustworthy Artificial Intelligent Systems
Details
This present book provides valuable insights on the technical, societal and legal challenges posed by the use of artificial intelligent systems in a plethora of different applications, from embodied robotic systems to ML algorithms.
Engaging with concerns about equity, privacy, surveillance and respect for human dignity, Towards Trustworthy Artificial Intelligent Systems highlights the fundamental factors on which stakeholders' trust relies, identifying benchmarking, standardisation and certification as milestones grounding and consolidating that future trust.
The multidisciplinary approach followed will make this book a valuable resource for all those involved in the production and deployment of AIs, as well as for academia and legal practitioners.
Covers ethical, societal, legal issues concerning deployment of both embodied and non-embodied autonomous systems Presents the state-of-the-art research on trustworthy artificial intelligent systems Provides best papers presented at the International Conference on Robot Ethics and Standards
Inhalt
Artificial Intelligence: A Concept Under-Construction, a Reality Under-Development.- In Machines We Trust.- The Roles of Benchmarking, Standardisation and Certification.- Informational Privacy and Trust in Autonomous Intelligent Systems.- Ethical Risk Assessment For Social Robots: Case Studies in Smart Robot Toys.- Practical and Open Source Best Practices for Ethical Machine Learning.- Recruitment AI has a Disability Problem: Anticipating and Mitigating Unfair Automated Hiring Decisions.
Weitere Informationen
- Allgemeine Informationen
- GTIN 09783031098253
- Lesemotiv Verstehen
- Genre Electrical Engineering
- Auflage 1st edition 2022
- Editor Mohammad Osman Tokhi, Maria Isabel Aldinhas Ferreira
- Sprache Englisch
- Anzahl Seiten 208
- Herausgeber Springer International Publishing
- Größe H235mm x B155mm x T12mm
- Jahr 2023
- EAN 9783031098253
- Format Kartonierter Einband
- ISBN 3031098250
- Veröffentlichung 09.09.2023
- Titel Towards Trustworthy Artificial Intelligent Systems
- Untertitel Intelligent Systems, Control and Automation: Science and Engineering 102
- Gewicht 324g