Human-Centered Artificial Intelligence

Advanced Lectures

Häftad, Engelska, 2023

Av Mohamed Chetouani, Virginia Dignum, Paul Lukowicz, Carles Sierra

1 229 kr

Beställningsvara. Skickas inom 10-15 vardagar

Fri frakt för medlemmar vid köp för minst 249 kr.

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

Utgivningsdatum2023-04-04
Mått155 x 235 x undefined mm
FormatHäftad
SpråkEngelska
SerieLecture Notes in Artificial Intelligence
Antal sidor429
FörlagSpringer International Publishing AG
ISBN9783031243486

Tillhör följande kategorier

Tillämpad datateknik inom Data och it
Informationsteknik: allmänt inom Data och it
Systemvetenskap och AI inom Data och it
Programvaruutveckling inom Data och it
Artificiell intelligens inom Data och it

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.