Celebrating the achievements of the £33M UKRI Trustworthy Autonomous Systems Programme

Responsible research and innovation

Responsible research and innovation (RRI) provides a unique space to explore dilemmas and the controversies inherited within the advance of autonomous systems.

 

RRI brings an opportunity to collectively imagine and consider the impact and consequences of new technologies and do something about it. RRI provides tools and processes that allow researchers, stakeholders and the public to engage in an inclusive dialogue with the view to prevent unwanted outcomes.

 

To ensure the development of trustworthy autonomous systems goes hand in hand with RRI principles, the TAS Hub has created this space for the TAS community.

 

Through this space, we aim to keep you informed about the TAS work on RRI, what is happening around the TAS nodes in terms of RRI, as well as to share learning conversations and celebrate good practice.

 

See also our RRI for ICT Researchers mini-site.

 

 

The TAS team has identified the following resources to support members on their RRI journey:

1. EPSRC Framework for Responsible Innovation

Provides advice and guidance while setting out our expectations for the researchers we fund and their research organisations.

 

2. RRI Prompt and Practice Cards

This card-based tool has been developed by the hoRRIzon project. It is for use with different types of stakeholders involved in a single project to facilitate dialogue and support equal contribution encouraging multiple perspectives towards design, conduct and deployment of responsible research and innovation.

 

3. Orbit

Information and services to support responsible research and innovation in the ICT community. The information provided will provide generic ideas for activities and approaches. We recommend the Orbit self-assessment tool – free to use for assessing and benchmarking projects against different RRI dimensions.

Other relevant tools include the RRI Self Reflection Tool and the COMPASS self-check tool (Note: the COMPASS resource is suited more for companies).

 

4. BSI PAS 440 Responsible Innovation

Publicly available standard for assessing responsible innovation. It provides a more formal framework that incorporates both organisation and technology-specific aspects as well as the foundation for future national or international standards. 

 

5. Unbias AI for Decision Maker’s toolkit

AI4DM is a suite of critical thinking tools enabling cross-organisational stakeholders to implement transdisciplinary ethical and governance assessments of planned or existing AI and automated decision-making systems.

 

6. Unbias Fairness Toolkit

Deck of cards and other tools designed to engage children and young people in discussions and civic thinking aimed at improving their digital/data literacy.

 

7. Practical Tools for Responsible AI

By AI Global, a non-profit organisation committed to a world with trustworthy, safe, and fair technologies.

 

8. Sciencewise

Provides resources and support as the UK’s national centre for public dialogue in policy-making involving science and technology issues.

 

9. Developing a framework for responsible innovation

Publication in “Research Policy” providing detailed information about the development of the AREA framework.

 

10. RRI Tools

EU website that has aggregated resources from across 30 European countries providing ideas and support for your activities.  A good example includes how to engage in a time of social distancing including thoughts from UCL on adapting engagement and open innovation approaches to pandemic conditions.

 

11. Control and Responsible Innovation in the Development of Autonomous Machines (full report)

This US resource is useful as a scoping tool of RRI TAS issues.

 

12. The Ada Lovelace Institute

Provides with good examples of RRI in action and interesting blogs that reflect on relevant topics through RRI lense.

 

13. Assessment of Responsible Innovation: Methods and Practices (2020)

Edited by Emad Yaghmaei and Ibo van de Poel.

 

14. Code of conduct for data-driven health and care technology.

 

If you have any comments, resources to share, questions or ideas, please feel free to email Elvira.perez@nottingham.ac.uk