10.5281/zenodo.4588648
https://zenodo.org/records/4588648
oai:zenodo.org:4588648
Aicardi, Christine
Christine
Aicardi
Foresight Lab, King's College London
Bitsch, Lise
Lise
Bitsch
Danish Board of Technology Foundation
Datta Burton, Saheli
Saheli
Datta Burton
Foresight Lab, King's College London
Evers, Kathinka
Kathinka
Evers
Centre for Research Ethics & Bioethics, Uppsala University
Farisco, Michele
Michele
Farisco
Centre for Research Ethics & Bioethics, Uppsala University
Mahfoud, Tara
Tara
Mahfoud
Foresight Lab, King's College London
Rose, Nikolas
Nikolas
Rose
Foresight Lab, King's College London
Rosemann, Achim
Achim
Rosemann
Centre for Computing and Social Responsibility, De Montfort University
Salles, Arleen
Arleen
Salles
Centre for Research Ethics & Bioethics, Uppsala University
Stahl, Bernd
Bernd
Stahl
Centre for Computing and Social Responsibility, De Montfort University
Ulnicane, Inga
Inga
Ulnicane
Centre for Computing and Social Responsibility, De Montfort University
Opinion on Trust and Transparency in Artificial Intelligence - Ethics&Society, The Human Brain Project
Zenodo
2021
Ethics
Society
Human Brain Project
Artificial Intelligence (AI)
ICT
Neuroscience
Robotics
Trustworthiness
Governance
RRI
Responsible Research and Innovation
2021-03-08
Other
10.5281/zenodo.4588647
https://zenodo.org/communities/hbp
Creative Commons Attribution 4.0 International
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
European Commission
10.13039/501100000780
785907
Human Brain Project Specific Grant Agreement 2