From design to deployment: Accelerating responsible AI adoption with MLOps and design thinking
Explore Digital Catapult’s new paper developed for the Innovate UK BridgeAI programme that addresses the implementation of responsible AI (RAI) by integrating ethical principles into MLOps workflows using a design-thinking approach.
Overview
Adopting responsible artificial intelligence (AI) is more critical than ever, with increasing regulatory scrutiny, such as the EU AI Act, and growing demands for transparent, ethical AI systems, businesses face challenges in bridging the gap between principles and practical application. Digital Catapult’s new paper developed for the Innovate UK The BridgeAI programme, explores how to embed ethics into AI workflows.
Who is this for?
Data Scientists, Machine Learning Engineers, Software Engineers, Developers
What will you gain?
By combining MLOps with a design-thinking approach, you will gain actionable frameworks to enhance fairness, accountability, and safety throughout the AI lifecycle.
Learn how to navigate the complexities of responsible AI, protect your brand reputation, and prepare for future AI regulations.
Related programme

BridgeAI
Empowering UK organisations to harness the power of AI through support and funding, bridging the AI divide for a more productive UK.