How do system and user characteristics, along with anthropomorphism, impact cognitive absorption of chatbots – Introducing SUCCAST through a mixed methods study

Introduction to the Issue on Artificial Intelligence in the Public Sector: Risks and Benefits of AI for Governments

Can ChatGPT be used to predict citation counts, readership, and social media interaction? An exploration among 2222 scientific abstracts

Toward Sociotechnical AI: Mapping Vulnerabilities for Machine Learning in Context

The risks of using ChatGPT to obtain common safety-related information and advice

QuantImage v2: a comprehensive and integrated physician-centered cloud platform for radiomics and machine learning research

A Survey on Approximate Edge AI for Energy Efficient Autonomous Driving Services

Comprehensive Study on Transformer Fault Detection via Frequency Response Analysis

Causal scientific explanations from machine learning

A Cognitive Assistant for Operators: AI-Powered Knowledge Sharing on Complex Systems

Grasping AI: experiential exercises for designers

Data-efficient machine learning methods in the ME-TIME study: Rationale and design of a longitudinal study to detect atrial fibrillation and heart failure from wearables

Capturing public voices: The role of social media in heritage management

SFILES 2.0: an extended text-based flowsheet representation

Meaningful human control: actionable properties for AI system development

Assessing Trustworthy AI in Times of COVID-19: Deep Learning for Predicting a Multiregional Score Conveying the Degree of Lung Compromise in COVID-19 Patients

Using Artificial Intelligence to extract information on pathogen characteristics from scientific publications

Development and validation of an early warning model for hospitalized COVID-19 patients: a multi-center retrospective cohort study

On humans, algorithms and data

Quantile co-movement and dependence between energy-focused sectors and artificial intelligence