How can DWP best understand the system-wide environmental impacts of increasing digitisation and AI?
Background
DWP delivers services to millions of people and needs evidence on how to improve quality, efficiency, accessibility and trust while treating people with dignity and respect. This group of questions covers service design, customer understanding of DWP’s services, communications and processes, fraud and error, digital transformation, artificial intelligence, automation, staff capability, complaints, serious cases, local delivery, sustainability and experiences across DWP’s digital, telephone, video, written and face-to-face channels for interacting with our customers. DWP is interested in research that can identify what improves outcomes for different groups, including people who need additional support to access or use services. Evidence is also needed on how data, technology and automation can be used robustly and ethically to improve services and outcomes, how our staff can be supported to work effectively with new tools, and how services can learn from experience and adapt to changing demand. External research can help DWP understand what works in comparable public services, other sectors and other countries.
Next steps
Send correspondence and further questions to [email protected]
Related UKRI funded projects
-
Design Principles and Responsible Innovation for a Sustainable Digital Economy (Paris-DE)
Digital technologies have a transformative impact in the economy and wider society. New innovations in Information Communication Technology (ICT) such as the next generation '5G' internet, automation and robotics, and bi...
Funded by: EPSRC
Lead research organisation: Lancaster University
Why might this be relevant?
Addresses the environmental impacts of digitisation and AI, providing a sustainability framework aligned with the Paris agreement.
-
Sustainable AI Futures
How do we govern AI’s environmental impacts responsibly? Sustainable AI Futures is an AHRC Bridging Responsible AI Divides (BRAID) project addressing this challenge. Specifically, we investigate the social life of enviro...
Funded by: AHRC
Lead research organisation: Bath Spa University
Why might this be relevant?
Investigates AI's environmental impacts and governance, analyzing tools and implications for social and ecological justice.
-
A new method of building regulatory-compliant human-explainable AI models with a drastically reduced environmental footprint than existing AI approaches
Zetlin is a UK-based SME focused on solving some of the biggest challenges in AI. By 2030 global CO2e emissions must be cut by 22 billion tonnes, yet AI emissions are set to grow from 700 million tonnes of CO2e today, t...
Funded by: Innovate UK
Lead research organisation: ZETLIN LTD
Why might this be relevant?
Focuses on building regulatory-compliant human-explainable AI models with reduced environmental footprint, but does not fully address system-wide impacts of digitisation and AI.