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Towards Trustworthy Artificial Intelligent Systems 2022 ed. [Mīkstie vāki]

  • Formāts: Paperback / softback, 194 pages, height x width: 235x155 mm, weight: 326 g, 22 Illustrations, color; 9 Illustrations, black and white; XIV, 194 p. 31 illus., 22 illus. in color., 1 Paperback / softback
  • Sērija : Intelligent Systems, Control and Automation: Science and Engineering 102
  • Izdošanas datums: 09-Sep-2023
  • Izdevniecība: Springer International Publishing AG
  • ISBN-10: 3031098250
  • ISBN-13: 9783031098253
Citas grāmatas par šo tēmu:
  • Mīkstie vāki
  • Cena: 91,53 €*
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  • Standarta cena: 107,69 €
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  • Formāts: Paperback / softback, 194 pages, height x width: 235x155 mm, weight: 326 g, 22 Illustrations, color; 9 Illustrations, black and white; XIV, 194 p. 31 illus., 22 illus. in color., 1 Paperback / softback
  • Sērija : Intelligent Systems, Control and Automation: Science and Engineering 102
  • Izdošanas datums: 09-Sep-2023
  • Izdevniecība: Springer International Publishing AG
  • ISBN-10: 3031098250
  • ISBN-13: 9783031098253
Citas grāmatas par šo tēmu:
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. 
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.