A room with an overview: Towards meaningful transparency for the consumer Internet of Things
As our physical environments become ever-more connected, instrumented, and automated,
it can be increasingly difficult for users to understand what is happening within them and …
it can be increasingly difficult for users to understand what is happening within them and …
Investigating Practices and Opportunities for Cross-functional Collaboration around AI Fairness in Industry Practice
An emerging body of research indicates that ineffective cross-functional collaboration–the
interdisciplinary work done by industry practitioners across roles–represents a major barrier …
interdisciplinary work done by industry practitioners across roles–represents a major barrier …
Ethics in the Age of Algorithms: Unravelling the Impact of Algorithmic Unfairness on Data Analytics Recommendation Acceptance
M Ghasemaghaei, N Kordzadeh - Information Systems Journal, 2024 - Wiley Online Library
Algorithms used in data analytics (DA) tools, particularly in high‐stakes contexts such as
hiring and promotion, may yield unfair recommendations that deviate from merit‐based …
hiring and promotion, may yield unfair recommendations that deviate from merit‐based …
``It Is a Moving Process": Understanding the Evolution of Explainability Needs of Clinicians in Pulmonary Medicine
Clinicians increasingly pay attention to Artificial Intelligence (AI) to improve the quality and
timeliness of their services. There are converging opinions on the need for Explainable AI …
timeliness of their services. There are converging opinions on the need for Explainable AI …
Social scoring systems for behavioral regulation: An experiment on the role of transparency in determining perceptions and behaviors
Recent developments in artificial intelligence research have advanced the spread of
automated decision-making (ADM) systems used for regulating human behaviors. In this …
automated decision-making (ADM) systems used for regulating human behaviors. In this …
[HTML][HTML] Envisioning Contestability Loops: Evaluating the Agonistic Arena as a Generative Metaphor for Public AI
Public sector organizations increasingly use artificial intelligence to augment, support, and
automate decision-making. However, such public AI can potentially infringe on citizens' right …
automate decision-making. However, such public AI can potentially infringe on citizens' right …
Metadata representations for queryable repositories of machine learning models
Machine learning (ML) practitioners and organizations are building model repositories of pre-
trained models, referred to as model zoos. These model zoos contain metadata describing …
trained models, referred to as model zoos. These model zoos contain metadata describing …
Normalize: The first workshop on normative design and evaluation of recommender systems
Recommender systems are among the most widely used applications of artificial
intelligence. Since they are so widely used, it is important that we, as practitioners and …
intelligence. Since they are so widely used, it is important that we, as practitioners and …
Did that AI just charge me a fine? Citizens' perceptions of AI-based discretion in public administration
Automation and Artificial Intelligence (AI) are continuously advancing decision-making in
public administrations. Research focuses on investigating benefits and challenges of AI …
public administrations. Research focuses on investigating benefits and challenges of AI …
How the Types of Consequences in Social Scoring Systems Shape People's Perceptions and Behavioral Reactions
C Loefflad, J Grossklags - The 2024 ACM Conference on Fairness …, 2024 - dl.acm.org
In the context of the rise of algorithmic decision-making (ADM) systems, social scoring
systems are particularly controversial. They aim to encourage socially desirable behaviors …
systems are particularly controversial. They aim to encourage socially desirable behaviors …