Human-Centered Artificial Intelligence

Advanced Lectures

AvMohamed Chetouani,Virginia Dignum

Häftad, Engelska, 2023

Del 13500 i serien Lecture Notes in Computer Science

915 kr

Beställningsvara. Skickas inom 10-15 vardagar. Fri frakt över 249 kr.

Beskrivning

The 18th European Advanced Course on AI (ACAI) took place in Berlin on 11-15 October 2021, organized by the European project Humane-AI Net in collaboration with the European AI Association (EURAI). The school included tutorials on different topics, which were selected through an open call to top European AI researchers. In addition, the school also included 4 invited talks, a student poster presentation, and a mentorship program.This volume contains 21 tutorial chapters organized according to the following themes: human-centered AI; human-centered machine learning; explainable AI; ethics, law, and the societal aspects of AI; argumentation; and social simulation. The contributions include learning objectives, reading lists, and links to further resources.

Produktinformation

Utgivningsdatum:2023-04-04
Mått:156 x 234 x 23 mm
Vikt:617 g
Format:Häftad
Språk:Engelska
Serie:Lecture Notes in Computer Science
Antal sidor:429
Förlag:Springer International Publishing AG
ISBN:9783031243486

Utforska kategorier

Systemvetenskap och AI inom Data och IT
Programvaruutveckling inom Data och IT
Informationsteknik: allmänt inom Data och IT

Mer om författaren

Mohamed ChetouaniSorbonne University, FranceVirginia DignumUmea University, SwedenPaul LukowiczGerman Research Center for Artificial Intelligence, GermanyCarles SierraArtificial Intelligence Research Institute (IIIA-CSIC), Spain

Innehållsförteckning

The Advanced Course on Human-Centered AI: Learning Objectives.- Conceptual Foundations of Human-Centric AI.- Machine Learning With Neural Networks.- Generative Networks and the AutoEncoder.- Convolutional Neural Networks.- Transformers in Natural Language Processing.- Vision and Multi-Modal Transformers.- Transformers in Automatic Speech Recognition.- Interactive Robot Learning: An Overview.- Explainable Machine Learning for Trustworthy AI.- Why and How Should We Explain AI.- Artificial Visual Intelligence: Perceptual Commonsense for Human-Centred Cognitive Technologies.- An Introduction to Ethics and AI.- Law for Computer Scientist.- Mythical Ethical Principles for AI and How to Attain Them.- Operationalising AI Ethics: Conducting Socio-Technical Assessment.- Writing Science Fiction as an inspiration for AI research and Ethics Dissemination.- Argumentation in AI.- Computational Argumentation Cognitive AI.- Agent-based Social Simulation for Policy Making.- Towards a Social Artificial Intelligence.