The neutrality fallacy: when algorithmic fairness interventions are (Not) positive action
Various metrics and interventions have been developed to identify and mitigate unfair
outputs of machine learning systems. While individuals and organizations have an …
outputs of machine learning systems. While individuals and organizations have an …
Black-Box Testing and Auditing of Bias in ADM Systems
For years, the number of opaque algorithmic decision-making systems (ADM systems) with a
large impact on society has been increasing: eg, systems that compute decisions about …
large impact on society has been increasing: eg, systems that compute decisions about …
Misinformation and Algorithmic Bias
D Shin - Artificial Misinformation: Exploring Human-Algorithm …, 2024 - Springer
What happens if the data fed to AI are biased? What happens if the response of a chatbot
spreads misinformation? Unlike many people hope, AI is as biased as humans are. Bias can …
spreads misinformation? Unlike many people hope, AI is as biased as humans are. Bias can …
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 …
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 …
The Overstated Cost of AI Fairness in Criminal Justice
The dominant critique of fairness constraints in AI decision-making, particularly in criminal
justice, is that they come at a cost: increasing fairness reduces the accuracy of predictions …
justice, is that they come at a cost: increasing fairness reduces the accuracy of predictions …
IMPLIKASI ALGORITHMIC DECISION-MAKING (ADM) TERHADAP OTONOMI SUBYEK DATA DAN LEGALITASNYA DALAM PEMROSESAN BIG DATA
SY Wahyuningtyas - Jurnal Paradigma Hukum …, 2024 - ejournal.atmajaya.ac.id
Penggunaan algorithmic decision making (ADM) dalam platform digital semakin lazim
karena membawa kemudahan dan kemampuannya untuk pengambilan keputusan secara …
karena membawa kemudahan dan kemampuannya untuk pengambilan keputusan secara …
Evaluation algorithmique inclusive de la qualité des espaces publics
L'intelligence artificielle (IA) offre de multiples possibilités pour une analyse des paysages
urbains, mais elle ne permet pas le saisi de la diversité des points de vue et des …
urbains, mais elle ne permet pas le saisi de la diversité des points de vue et des …
Legal Dilemma of Using Diplomas as Collateral in Employment Relationships
R Rinaldi, H Sejati, T Susilowati - Journal of World Science, 2024 - jws.rivierapublishing.id
The concern in Indonesia is that explicit regulations addressing this issue still need to be
improved. This study aims to analyze the legal dilemmas surrounding diploma retention …
improved. This study aims to analyze the legal dilemmas surrounding diploma retention …