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 …
“The Human Must Remain the Central Focus”: Subjective Fairness Perceptions in Automated Decision-Making
The increasing use of algorithms in allocating resources and services in both private
industry and public administration has sparked discussions about their consequences for …
industry and public administration has sparked discussions about their consequences for …
Enhancing Algorithmic Fairness in Student Performance Prediction Through Unbiased and Equitable Machine Learning Models
L de Souza Cabral, F Dwan Pereira… - … Conference on Artificial …, 2024 - Springer
The rapid adoption of ML algorithms has spurred the development of educational
applications aimed at enhancing teaching and learning experiences. However …
applications aimed at enhancing teaching and learning experiences. However …
Bridging the Human-Automation Fairness Gap: How Providing Reasons Enhances the Perceived Fairness of Public Decision-Making
A Henning, P Langenbach - MPI Collective Goods Discussion …, 2024 - papers.ssrn.com
Automated decision-making in legal contexts is often perceived as less fair than its human
counterpart. This human-automation fairness gap poses practical challenges for …
counterpart. This human-automation fairness gap poses practical challenges for …
Finding Algorithmic Fairness: An Analysis of how Literature Considers Algorithmic Fairness from Different Stakeholder Perspectives
Algorithms are increasingly used by organizations to make decisions or recommendations
about their operations, including operations such as credit lending or recruitment. In this …
about their operations, including operations such as credit lending or recruitment. In this …
Finding Algorithmic Fairness: An Analysis of how the Literature Constructs Algorithmic Fairness from Different Stakeholder Perspectives
Algorithms are increasingly used by organisations to make decisions or recommendations
about their operations. This can include operations, such as credit lending or recruitment. To …
about their operations. This can include operations, such as credit lending or recruitment. To …
The Impact of Using Algorithmic Systems on the Criminal Trial: International Experience.
D Patreliuk, M Leonenko, Y Dekhtiarov… - Pakistan Journal of …, 2024 - search.ebscohost.com
The impact of algorithmic systems on the criminal trial is becoming increasingly relevant in
the legal sphere in the context of globalization and the development of digital technologies …
the legal sphere in the context of globalization and the development of digital technologies …
Under Construction: How Organisational Stakeholders Socially Produce Algorithmic Fairness
Algorithmic decision-making (ADM) systems are increasingly used in Human Resource (HR)
processes, such as recruitment or performance assessments. They help to increase …
processes, such as recruitment or performance assessments. They help to increase …
[PDF][PDF] Designing Human-centered News Recommender Systems
D Istha - 2023 - vu-business-analytics.github.io
Recommender system research has been overly fixated on accuracy, which is severly
limited and misguided [1; 2; 3; 4]. Therefore, this work advocates for an alternative approach …
limited and misguided [1; 2; 3; 4]. Therefore, this work advocates for an alternative approach …