While AI has benefited humans, it may also harm humans if not appropriately developed.
The priority of current HCI work should focus on transiting from conventional human …

This study contributes to the technology management literature on the effects of IT on
operations processes by examining the use of systems based on Artificial Intelligence (AI) in …

Neuroscience research is undergoing a minor revolution. Recent advances in machine
learning and artificial intelligence research have opened up new ways of thinking about …

It has been the historic responsibility of the social sciences to investigate human societies.
Fulfilling this responsibility requires social theories, measurement models and social data …

While algorithm audits are growing rapidly in commonality and public importance, relatively
little scholarly work has gone toward synthesizing prior work and strategizing future research …

The release of openly available, robust natural language generation algorithms (NLG) has
spurred much public attention and debate. One reason lies in the algorithms' purported …

Large language models (LLMs) are currently at the forefront of intertwining AI systems with
human communication and everyday life. Due to rapid technological advances and their …

The increasing use of People Analytics to manage people in organizations ushers in an era
of algorithmic management. People analytics are said to allow decision-makers to make …

An increasing number of works in natural language processing have addressed the effect of
bias on the predicted outcomes, introducing mitigation techniques that act on different parts …

In humans and other gregarious animals, collective decision-making is a robust behavioural
feature of groups. Pooling individual information is also fundamental for modern societies, in …