AI4People—An Ethical Framework for a Good AI Society: Opportunities, Risks, Principles, and Recommendations

Artificial Intelligence (AI): Multidisciplinary perspectives on emerging challenges, opportunities, and agenda for research, practice and policy

A Misdirected Principle with a Catch: Explicability for AI

Sympérasmology: A proposal for the theory of synthetic system knowledge

Interpretable confidence measures for decision support systems

Digital Excavation of Mediatized Urban Heritage: Automated Recognition of Buildings in Image Sources

Decision support model for effects estimation and proportionality assessment for targeting in cyber operations

Agent-based distributed planning and coordination for resilient airport surface movement operations

Hybrid collective intelligence in a human–AI society

Designing for human rights in AI

Deep learning for assessing the corneal endothelium from specular microscopy images up to 1 year after ultrathin-dsaek surgery

Embedding Values in Artificial Intelligence (AI) Systems

Implications of the use of artificial intelligence in public governance: A systematic literature review and a research agenda

A patient journey map to improve the home isolation experience of persons with mild COVID-19: Design research for service touchpoints of artificial intelligence in eHealth

The Giant Leap for Smart Cities: Scaling Up Smart City Artificial Intelligence of Things (AIoT) Initiatives

Designing for calibrated trust: Exploring the challenges in calibrating trust between users and autonomous vehicles

Prototyping in social VR: Anticipate the unanticipated outcomes of interactions between AI-powered solutions and users.

Source deghosting of coarsely sampled common-receiver data using a convolutional neural network

Responsible nudging for social good: new healthcare skills for AI-driven digital personal assistants

Mapping value sensitive design onto AI for social good principles