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Opinion on Trust and Transparency in Artificial Intelligence - Ethics&Society, The Human Brain Project

Authors: Aicardi, Christine; Bitsch, Lise; Datta Burton, Saheli; Evers, Kathinka; Farisco, Michele; Mahfoud, Tara; Rose, Nikolas; +4 Authors

Opinion on Trust and Transparency in Artificial Intelligence - Ethics&Society, The Human Brain Project

Abstract

The Ethics and Society Subproject has developed this Opinion in order to clarify lessons the Human Brain Project (HBP) can draw from the current discussion of artificial intelligence, in particular the social and ethical aspects of AI, and outline areas where it could usefully contribute. The EU and numerous other bodies are promoting and implementing a wide range of policies aimed to ensure that AI is beneficial - that it serves society. The HBP as a leading project bringing together neuroscience and ICT is in an excellent position to contribute to and to benefit from these discussions. This Opinion therefore highlights some key aspects of the discussion, shows its relevance to the HBP and develops a list of six recommendations.

This project has received funding from the European Union's Horizon 2020 Research and Innovation Programme Under Grant Agreement no. 785907

Keywords

Ethics, Governance, Human Brain Project, RRI, ICT, Artificial Intelligence (AI), Society, Robotics, Responsible Research and Innovation, Neuroscience, Trustworthiness

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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5
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61