SIENNA: Technology, ethics and human rights
Human genomics, human enhancement, artificial intelligence and robotics offer benefits for both individuals and society. But these technologies also challenge our notions of what is ethical. SIENNA will provide frameworks to help develop research ethics protocols, professional ethical codes and better legal frameworks.
The SIENNA approach: Stakeholder informed ethics
SIENNA (Stakeholder-Informed Ethics for New technologies with high socio-ecoNomic and human rights impAct) will develop ethical protocols and codes for human genomics, human enhancement and AI & robotics.
The results coming out of this project will be informed by experts and citizens through ethical impact assessments, consultations with experts and stakeholders, workshops with stakeholders, public opinion surveys in 11 countries and citizen panels in 5 countries.
News
- SIENNA webinar on societal concerns in public research funding 2021-02-23
- Enhancing EU legal frameworks for genetics & genomics research: SIENNA project Policy Brief #2 2021-02-04
- Ethics self-assessment for genetic and genomic research 2021-02-01
- Thank you for contributing in our public consultation process! 2021-01-26
- Save the Date for the SIENNA final conference: 10-12 March 2021-01-22
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SIENNA's contribution
The SIENNA project will develop ethical codes for human genomics, human enhancement, AI & robotics. We will also help improve existing ethical and legal frameworks for all three areas.
Human Genetics & Genomics
Technologies to sequence or edit DNA can become powerful tools to diagnose and treat diseases, yet they also raise important ethical, legal and social issues.
Human Enhancement
Technology can enhance our physical, cognitive, emotional and moral abilities. Challenging the boundaries between health and illness, treatment and enhancement, normality and abnormality.
Artificial Intelligence & Robotics
We interact with robots, smart devices, intelligent software, prosthetics and implants. We can benefit enormously from interacting with machines. But there are significant ethical challenges.