REELER - Responsible Ethical Learning with Robotics
Robots are the next ICT-related technology on the horizon ready to radically alter human societies. It is a major societal concern that up to 40% jobs may be replaced by robots over the next 20 years. Few empirical studies have been made in how roboticists’ visions may differ from users/affected stakeholders’ needs and concerns with these pervasive and radical changes. The REELER project aims at aligning the roboticists’ visions of a future with robots with empirically-based knowledge of human needs and societal concerns.
Based on extensive robotics/SSH-RRI collaboration, REELER will offer proactive steps towards ethical and responsible robots by suggesting radical changes in current robot design procedures. Moreover, REELER will formulate guidelines in the REELER Roadmap for distributed responsibility among roboticists, users/affected stakeholders and policy-makers by closing the current gap between these. At the core of these guidelines is the concept of collaborative learning which permeates all aspects of REELER and will guide future SSH-ICT research.
The main outcome of REELER is the research-based roadmap presenting a) ethical guidelines for Human Proximity Levels, b) prescriptions for how to include the voice of new types of users and affected stakeholders through Mini-Publics and call forth roboticists’ assumptions via sociodrama and c) an agent-based simulation tool for policy-making.
The high level of multidisciplinarity (8 robot designers from the LEIT-ICT batch 23, anthropologists, psychologists, economists and philosophers) of the REELER research, will assure cooperation, comprehension and acceptance of SSH-research by the robotics research community.
Integrating the recommendations of the REELER Roadmap for Responsible and Ethical Learning in Robotics in future robot design processes will ensure a European robotics community that take humans needs and societal concerns into account.
Fields of science
- social scienceseconomics and businessbusiness and managementemployment
- engineering and technologyelectrical engineering, electronic engineering, information engineeringelectronic engineeringrobotics
- natural sciencescomputer and information sciencesdata sciencedata processing
- natural sciencescomputer and information sciencessoftwaresoftware applicationssimulation software
Funding SchemeRIA - Research and Innovation action
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
LE1 9BH Leicester
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