Because of our statutory responsibilities as a government department, we need reliable data for use in automation or AI. How can we achieve this level of reliability or effectively work around it?
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
-
Quaid - a platform for improving data quality
Information holds the key to success. The accuracy of data determines operational performance, regulatory compliance and the effectiveness of business strategy. Organisations in every industry worldwide have an increased...
Funded by: EPSRC
Lead research organisation: University of Edinburgh
Why might this be relevant?
The project focuses on improving data quality, which is essential for achieving reliable data for automation or AI.