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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{Peters:2020:10.1109/TTS.2020.2974991,
author = {Peters, D and Vold, K and Robinson, D and Calvo, R},
doi = {10.1109/TTS.2020.2974991},
journal = {IEEE Transactions on Technology and Society},
pages = {34--47},
title = {Responsible AI—two frameworks for ethical design practice},
url = {http://dx.doi.org/10.1109/TTS.2020.2974991},
volume = {1},
year = {2020}
}

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RIS format (EndNote, RefMan)

TY  - JOUR
AB  - In 2019, the IEEE launched the P7000 standards projects intended to address ethical issues in the design of autonomous and intelligent systems. This move came amidst a growing public concern over the unintended consequences of artificial intelligence (AI), compounded by the lack of an anticipatory process for attending to ethical impact within professional practice. However, the difficulty in moving from principles to practice presents a significant challenge to the implementation of ethical guidelines. Herein, we describe two complementary frameworks for integrating ethical analysis into engineering practice to help address this challenge. We then provide the outcomes of an ethical analysis informed by these frameworks, conducted within the specific context of Internet-delivered therapy in digital mental health. We hope both the frameworks and analysis can provide tools and insights, not only for the context of digital healthcare but also for data-enabled and intelligent technology development more broadly.
AU  - Peters,D
AU  - Vold,K
AU  - Robinson,D
AU  - Calvo,R
DO  - 10.1109/TTS.2020.2974991
EP  - 47
PY  - 2020///
SN  - 2637-6415
SP  - 34
TI  - Responsible AI—two frameworks for ethical design practice
T2  - IEEE Transactions on Technology and Society
UR  - http://dx.doi.org/10.1109/TTS.2020.2974991
UR  - https://ieeexplore.ieee.org/document/9001063
UR  - http://hdl.handle.net/10044/1/77602
VL  - 1
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)