Glossary of human-centric artificial intelligence.
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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 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.
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Glossary of human-centric artificial intelligence
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