Design guidelines to protect stakeholders’ values in AI systems: Based on a use case situated in the Japanese life insurance industry

Integrating artificial intelligence (AI) into Japan's life insurance sector marks a significant move towards data-centric precision, reflecting the nation's shift towards Society 5.0. In this domain, AI is revolutionizing decision-making processes and enhancing operational efficiency, with applications ranging from fraud detection in credit card...

Guiding the specification of sociotechnical Machine Learning systems: Addressing vulnerabilities and challenges in Machine Learning practice

There is a need for a more comprehensive sociotechnical systems view on ML. Such a view looks at the development and use of an ML system in practice as being a sociotechnical ML system: "a system consisting of technical artefacts, human agents and institutions, in which a machine-based subsystem influences its real or virtual environment by...