Stefano Cagnoni

Francesca Alessandra Lisi

Alfredo Milani

Valentina Franzoni

Jordi Vallverdu

Roberto Capobianco

Giulio Biondi

Artificial Intelligence (AI), including Machine Learning with Deep Neural Networks, is making and supporting decisions in ways that increasingly affect humans in many aspects of their lives. Both autonomous and decision-support systems applying AI algorithms and data-driven models are used for decisions about justice, education, physical and psychological health, and to provide or deny access to credit, healthcare, and other essential resources, in all aspects of daily life, in increasingly ubiquitous and sometimes ambiguous ways. Too often these systems are built without considering the human factors associated with their use and the need for clarity about the correct way to use them, and possible biases. Models and systems provide results that are difficult to interpret and are accused of being good or bad, whereas good or bad is only the design of such tools, and the necessary training for them to be properly integrated into human values.

Ethical Design of Artificial Intelligence-based Systems for Decision Making

Xin Wang

Guohui Xiao

Elena Botoeva

This book constitutes the thoroughly refereed proceedings of the 9th Joint International Semantic Technology Conference, JIST 2019, held in Hangzhou, China, in November 2019. The 24 full papers presented were carefully reviewed and selected from 70 submissions. They present applications of semantic technologies, theoretical results, new algorithms and tools to facilitate the adoption of semantic technologies and are organized in topical sections on knowledge graphs; data management; question answering and NLP; ontology and reasoning; government open data; and semantic web for life sciences.

9th Joint International Conference, JIST 2019, Hangzhou, China, November 25–27, 2019, Proceedings

Semantic Technology

Francesca Alessandra Lisi

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