Concurrent users
Unlimited
Authorized users
Authorized users
Document Delivery Supplied
Can lend chapters, not whole ebooks
Title
Towards trustworthy artificial intelligent systems / Maria Isabel Aldinhas Ferreira, Mohammad Osman Tokhi, editors.
ISBN
9783031098239 (electronic bk.)
3031098234 (electronic bk.)
9783031098222
3031098226
Publication Details
Cham : Springer, 2022.
Language
English
Description
1 online resource.
Item Number
10.1007/978-3-031-09823-9 doi
Call Number
Q335
Dewey Decimal Classification
006.3
Summary
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.
Access Note
Access limited to authorized users.
Source of Description
Online resource; title from PDF title page (SpringerLink, viewed September 14, 2022).
Series
International series on intelligent systems, control and automation--science and engineering ; v. 102
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.
