Interactive Machine Learning (IML) seeks to complement human perception and intelligence
by tightly integrating these strengths with the computational power and speed of computers …

Research in machine learning has become very popular in recent years, with many types of
models proposed to comprehend and predict patterns and trends in data originating from …

Machine learning (ML) models are now routinely deployed in domains ranging from criminal
justice to healthcare. With this newfound ubiquity, ML has moved beyond academia and …

Decisions made by human-AI teams (eg., AI-advised humans) are increasingly common in
high-stakes domains such as healthcare, criminal justice, and finance. Achieving high team …

Advances in artificial intelligence, sensors and big data management have far-reaching
societal impacts. As these systems augment our everyday lives, it becomes increasing-ly …

Teachable Machine (teachablemachine. withgoogle. com) is a web-based GUI tool for
creating custom machine learning classification models without specialized technical …

Artificial Intelligence (AI) plays an increasingly important role in improving HCI and user
experience. Yet many challenges persist in designing and innovating valuable human-AI …

Machine learning (ML) is now a fairly established technology, and user experience (UX)
designers appear regularly to integrate ML services in new apps, devices, and systems …

Without good models and the right tools to interpret them, data scientists risk making
decisions based on hidden biases, spurious correlations, and false generalizations. This …

" Human-centered machine learning"(HCML) combines human insights and domain
expertise with data-driven predictions to answer societal questions. This area's inherent …