Expanding explainability: Towards social transparency in ai systems
As AI-powered systems increasingly mediate consequential decision-making, their
explainability is critical for end-users to take informed and accountable actions. Explanations …
explainability is critical for end-users to take informed and accountable actions. Explanations …
Algorithmic management in a work context
The rapid development of machine-learning algorithms, which underpin contemporary
artificial intelligence systems, has created new opportunities for the automation of work …
artificial intelligence systems, has created new opportunities for the automation of work …
Assessing the fairness of ai systems: Ai practitioners' processes, challenges, and needs for support
Various tools and practices have been developed to support practitioners in identifying,
assessing, and mitigating fairness-related harms caused by AI systems. However, prior …
assessing, and mitigating fairness-related harms caused by AI systems. However, prior …
Charting the sociotechnical gap in explainable ai: A framework to address the gap in xai
Explainable AI (XAI) systems are sociotechnical in nature; thus, they are subject to the
sociotechnical gap-divide between the technical affordances and the social needs …
sociotechnical gap-divide between the technical affordances and the social needs …
Algorithmic versus human advice: does presenting prediction performance matter for algorithm appreciation?
We propose a theoretical model based on the judge-advisor system (JAS) and empirically
examine how algorithmic advice, compared to identical advice from humans, influences …
examine how algorithmic advice, compared to identical advice from humans, influences …
AI as social glue: uncovering the roles of deep generative AI during social music composition
Recent advances in deep generative neural networks have made it possible for artificial
intelligence to actively collaborate with human beings in co-creating novel content (eg …
intelligence to actively collaborate with human beings in co-creating novel content (eg …
Sensing wellbeing in the workplace, why and for whom? envisioning impacts with organizational stakeholders
With the heightened digitization of the workplace, alongside the rise of remote and hybrid
work prompted by the pandemic, there is growing corporate interest in using passive …
work prompted by the pandemic, there is growing corporate interest in using passive …
Taylorism on steroids or enabling autonomy? A systematic review of algorithmic management
The use of algorithmic management systems is rapidly changing organizational models and
practices, as millions of workers in multiple sectors worldwide are managed by computer …
practices, as millions of workers in multiple sectors worldwide are managed by computer …
Increasing the speed and accuracy of data labeling through an ai assisted interface
Labeling data is an important step in the supervised machine learning lifecycle. It is a
laborious human activity comprised of repeated decision making: the human labeler decides …
laborious human activity comprised of repeated decision making: the human labeler decides …
At the crossroads of logics: Automating newswork with artificial intelligence—(Re) defining journalistic logics from the perspective of technologists
S Sirén‐Heikel, M Kjellman… - Journal of the Association …, 2023 - Wiley Online Library
As artificial intelligence (AI) technologies become more ubiquitous for streamlining and
optimizing work, they are entering fields representing organizational logics at odds with the …
optimizing work, they are entering fields representing organizational logics at odds with the …