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ACROCPoLis: A Descriptive Framework for Making Sense of Fairness

ACROCPoLis: A Descriptive Framework for Making Sense of Fairness

19 April 2023
Andrea Aler Tubella
Dimitri Coelho Mollo
Adam Dahlgren Lindstrom
Hannah Devinney
Virginia Dignum
Petter Ericson
Anna Jonsson
T. Kampik
Tom Lenaerts
Julian Alfredo Mendez
J. Nieves
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Papers citing "ACROCPoLis: A Descriptive Framework for Making Sense of Fairness"

6 / 6 papers shown
Title
Leveraging Ontologies to Document Bias in Data
Leveraging Ontologies to Document Bias in Data
Mayra Russo
Maria-Esther Vidal
36
1
0
29 Jun 2024
AI Alignment through Reinforcement Learning from Human Feedback?
  Contradictions and Limitations
AI Alignment through Reinforcement Learning from Human Feedback? Contradictions and Limitations
Adam Dahlgren Lindstrom
Leila Methnani
Lea Krause
Petter Ericson
Ínigo Martínez de Rituerto de Troya
Dimitri Coelho Mollo
Roel Dobbe
ALM
36
2
0
26 Jun 2024
Mapping the Potential of Explainable AI for Fairness Along the AI
  Lifecycle
Mapping the Potential of Explainable AI for Fairness Along the AI Lifecycle
Luca Deck
Astrid Schomacker
Timo Speith
Jakob Schöffer
Lena Kästner
Niklas Kühl
41
4
0
29 Apr 2024
CoMPosT: Characterizing and Evaluating Caricature in LLM Simulations
CoMPosT: Characterizing and Evaluating Caricature in LLM Simulations
Myra Cheng
Tiziano Piccardi
Diyi Yang
LLMAG
18
67
0
17 Oct 2023
Fairness in KI-Systemen
Fairness in KI-Systemen
Janine Strotherm
Alissa Müller
Barbara Hammer
Benjamin Paassen
FaML
29
1
0
17 Jul 2023
A Survey on Bias and Fairness in Machine Learning
A Survey on Bias and Fairness in Machine Learning
Ninareh Mehrabi
Fred Morstatter
N. Saxena
Kristina Lerman
Aram Galstyan
SyDa
FaML
323
4,203
0
23 Aug 2019
1