Glossary of human-centric artificial intelligence

Marina Estevez Almenzar, David Fernandez Llorca (), Emilia Gomez () and Fernando Martinez Plumed
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Marina Estevez Almenzar: European Commission - JRC, https://joint-research-centre.ec.europa.eu/index_en
David Fernandez Llorca: European Commission - JRC, https://joint-research-centre.ec.europa.eu/index_en
Emilia Gomez: European Commission - JRC, https://joint-research-centre.ec.europa.eu/index_en
Fernando Martinez Plumed: European Commission - JRC, https://joint-research-centre.ec.europa.eu/index_en
Authors registered in the RePEc Author Service: Fernando Martinez-Plumed ()

No JRC129614, JRC Research Reports from Joint Research Centre

Abstract: Over the last few years, Artificial Intelligence (AI) has become a very active research topic, moving from a purely technical field to an interdisciplinary research domain and a very active topic in terms of policy developments. The European approach for AI focuses on two main areas: excellence and trust, enabling the development and uptake of AI while ensuring people’s safety and fundamental rights. However, research and policy documentations do not always use the same vocabulary, often generating misunderstandings among researchers, policy makers, and the general public. Based on existing literature in the intersection between research, industry and policy, and given the expertise and know-now developed at the European Commission’s Joint Research Centre, we present here a glossary of terms on AI, with a focus on a human-centric approach, covering concepts related to trustworthy artificial intelligence such as transparency, accountability or fairness. We have collected 230 different terms from more than 10 different general sources including standards, policy documents and legal texts, as well as multiple scientific references. Each term is accompanied by one or several definitions linked to references and complemented with our own definitions when no relevant source was found. We humbly hope that the work presented here can contribute to establishing the necessary common ground for the interdisciplinary and policy-centred debate on artificial intelligence.

Keywords: artificial intelligence; human-centric AI; digital transformation (search for similar items in EconPapers)
Date: 2022-09
New Economics Papers: this item is included in nep-big
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