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.
Table of Content
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.
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