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Responsible Engineering, Design & Innovation (REDI)

Which way forward?

With the advent of technology that can learn and change itself, and the integration of vast data sources tracking every detail of human lives, engineering now entails decision-making with complex moral implications and global impact. As part of daily practice, technologists face values-laden tensions concerning privacy, justice, transparency, wellbeing, human rights, and questions that strike at the very nature of what it is to be human.

We recently edited a Special Issue of IEEE Transaction on Technology and Society about “After Covid-19: Crises, Ethics, and Socio-Technical Change”

"Our research works to understand the paths toward a future in which technology benefits all of humankind and the planet. We collaborate with social scientists to develop practical methods and socio-technical solutions to equip engineers and designers with the tools necessary for practicing responsibly through every step of the development process. "

Centre for the Future of Intelligence

We are core members of the Leverhulme Centre for the Future of Intelligence, an AI Ethics research centre bringing together world leading AI researchers in technology and the social sciences and based at Imperial College London, University of Cambridge, University of Oxford and University of California, Berkeley.

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Digital Catapult

Rafael Calvo is a member of Digital Catapult's 'Machine intelligence Garage' Ethics Committee, which was created to convene experts in AI and data ethics to 1. oversee the development of principles and tools to facilitate responsible AI in practice, and 2. work closely with startups developing through Digital Catapult’s Machine Intelligence Garage programme.

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UNESCO - The Future of Work

Professor Rafael Calvo is working with an international team of researchers in industrial relations, psychology, history, education and sociology on advising UNESCO in relation to the future of education and work in a world of AI and uncertainty.

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AI, Bias & Disability

New technologies can advance the lives of people with disabilities, but evidence is emerging that some AI may be entrenching bias or even generating new forms of injustice. For the research project "Designing AI to stop disability bias" we have partnered with colleagues at NTU in Singapore to ensure responsible AI in relation to people with disabilities.

Project Website

Responsible AI in the workplace

We work on designing technologies in ways that support precisely these factors that fuel motivation, engagement and wellbeing and we have methods for conducting design and research together with the people impacted. Our experience in doing so has made it clear that without addressing this human psychological layer, even the cleverest technology can fail.

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Culturally Appropriate Language Models and Systems (CALMS)

The Imperial team is working together with rural communities across four distinct regions of Peru to co-design responsible technologies that can help improve dementia care. This includes creating a dementia screening tool and an intervention program to support informal carers. The aim is to develop effective, accessible, and culturally sensitive solutions that can address the unique challenges posed by dementia in low- and middle-income countries.

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Responsible Tech Design Library

Find out more about tools and methods for more ethical practice in technology design

Prof. Rafael Calvo

Dr Celine Mougenot

Prof. Sebastian Deterding

Dr Fangzhou You

Laura Moradbakhti

Dr Juan Pablo Bermudez

Marco Da Re

Citation

BibTex format

@article{Sadek:2023:10.1007/s43681-023-00373-7,
author = {Sadek, M and Calvo, R and Mougenot, C},
doi = {10.1007/s43681-023-00373-7},
journal = {AI and Ethics},
title = {Designing value-sensitive AI: a critical review and recommendations for socio-technical design processes},
url = {http://dx.doi.org/10.1007/s43681-023-00373-7},
year = {2023}
}

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RIS format (EndNote, RefMan)

TY  - JOUR
AB  - This paper presents a critical review of how different socio-technical design processes for AI-based systems, from scholarly works and industry, support the creation of value-sensitive AI (VSAI). The review contributes to the emerging field of human-centred AI, and the even more embryonic space of VSAI in four ways: (i) it introduces three criteria for the review of VSAI based on their contribution to design processes’ overall value-sensitivity, and as a response to criticisms that current interventions are lacking in these aspects: comprehensiveness, level of guidance offered, and methodological value-sensitivity, (ii) it provides a novel review of socio-technical design processes for AI-based systems, (iii) it assesses each process based on the mentioned criteria and synthesises the results into broader trends, and (iv) it offers a resulting set of recommendations for the design of VSAI. The objective of the paper is to help creators and followers of design processes—whether scholarly or industry-based—to understand the level of value-sensitivity offered by different socio-technical design processes and act accordingly based on their needs: to adopt or adapt existing processes or to create new ones.
AU  - Sadek,M
AU  - Calvo,R
AU  - Mougenot,C
DO  - 10.1007/s43681-023-00373-7
PY  - 2023///
SN  - 2730-5961
TI  - Designing value-sensitive AI: a critical review and recommendations for socio-technical design processes
T2  - AI and Ethics
UR  - http://dx.doi.org/10.1007/s43681-023-00373-7
UR  - http://hdl.handle.net/10044/1/108217
ER  -

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Contact us

Dyson School of Design Engineering
Imperial College London
25 Exhibition Road
South Kensington
London
SW7 2DB

design.engineering@imperial.ac.uk
Tel: +44 (0) 20 7594 8888

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Responsible Engineering, Design & Innovation (REDI)