Yvette Machowski

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All published works

Action	Title	Year	Authors
+ PDF Chat	“There Is Not Enough Information”: On the Effects of Explanations on Perceptions of Informational Fairness and Trustworthiness in Automated Decision-Making	2022	Jakob Schoeffer Niklas Kuehl Yvette Machowski
+ PDF Chat	Perceptions of Fairness and Trustworthiness Based on Explanations in Human vs. Automated Decision-Making	2022	Jakob Schoeffer Yvette Machowski Niklas Kühl
+	A Study on Fairness and Trust Perceptions in Automated Decision Making	2021	Jakob Schoeffer Yvette Machowski Niklas Kuehl
+	Perceptions of Fairness and Trustworthiness Based on Explanations in Human vs. Automated Decision-Making	2021	Jakob Schoeffer Yvette Machowski Niklas Kuehl

Common Coauthors

Coauthor	Papers Together
Jakob Schoeffer	4
Niklas Kuehl	3
Niklas Kühl	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+ PDF Chat	Appropriate Fairness Perceptions? On the Effectiveness of Explanations in Enabling People to Assess the Fairness of Automated Decision Systems	2021	Jakob Schoeffer Niklas Kuehl	2
+ PDF Chat	'It's Reducing a Human Being to a Percentage': Perceptions of Justice in Algorithmic Decisions	2018	Reuben Binns Max Van Kleek Michael Veale Ulrik Lyngs Jun Zhao Nigel Shadbolt	2
+	Explaining models: an empirical study of how explanations impact fairness judgment	2019	Jonathan Dodge Q. Vera Liao Yunfeng Zhang Rachel Bellamy Casey Dugan	2
+	What is coefficient alpha? An examination of theory and applications.	1993	José M. Cortina	1
+ PDF Chat	The Tyranny of Data? The Bright and Dark Sides of Data-Driven Decision-Making for Social Good	2017	Bruno Lepri Jacopo Staiano David Sangokoya Emmanuel Letouzé Nuria Oliver	1
+ PDF Chat	A Survey of Methods for Explaining Black Box Models	2018	Riccardo Guidotti Anna Monreale Salvatore Ruggieri Franco Turini Fosca Giannotti Dino Pedreschi	1
+	Fair Prediction with Disparate Impact: A Study of Bias in Recidivism Prediction Instruments	2017	Alexandra Chouldechova	1
+ PDF Chat	Explainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challenges toward responsible AI	2019	Alejandro Barredo Arrieta Natalia Díaz-Rodríguez Javier Del Ser Adrien Bennetot Siham Tabik Alberto Barbado Salvador García Sergio Gil-López Daniel Molina Richard Benjamins	1
+	Factors Influencing Perceived Fairness in Algorithmic Decision-Making: Algorithm Outcomes, Development Procedures, and Individual Differences	2020	Ruotong Wang F. Maxwell Harper Haiyi Zhu	1
+	A Case for Humans-in-the-Loop: Decisions in the Presence of Erroneous Algorithmic Scores	2020	Maria De‐Arteaga Riccardo Fogliato Alexandra Chouldechova	1
+ PDF Chat	'It's Reducing a Human Being to a Percentage'; Perceptions of Justice in Algorithmic Decisions	2018	Reuben Binns Max Van Kleek Michael Veale Ulrik Lyngs Jun Zhao Nigel Shadbolt	1
+ PDF Chat	What do we want from Explainable Artificial Intelligence (XAI)? – A stakeholder perspective on XAI and a conceptual model guiding interdisciplinary XAI research	2021	Markus Langer Daniel Oster Timo Speith Holger Hermanns Lena Kästner Eva Schmidt Andreas Sesing-Wagenpfeil Kevin Baum	1
+	A Study on Fairness and Trust Perceptions in Automated Decision Making	2021	Jakob Schoeffer Yvette Machowski Niklas Kuehl	1
+	Auditing for Discrimination in Algorithms Delivering Job Ads	2021	Basileal Imana Aleksandra Korolova John Heidemann	1
+ PDF Chat	A Ranking Approach to Fair Classification	2021	Jakob Schoeffer Niklas Kuehl Isabel Valera	1
+ PDF Chat	Perceptions of Fairness and Trustworthiness Based on Explanations in Human vs. Automated Decision-Making	2022	Jakob Schoeffer Yvette Machowski Niklas Kühl	1
+ PDF Chat	On the Relation of Trust and Explainability: Why to Engineer for Trustworthiness	2021	Lena Kästner Markus Langer Veronika Lazar Astrid Schomäcker Timo Speith Sarah Sterz	1
+ PDF Chat	Fairness in Machine Learning: Against False Positive Rate Equality as a Measure of Fairness	2021	Robert R. Long	1
+	Evaluating Structural Equation Models with Unobservable Variables and Measurement Error	1981	Claes Fornell David F. Larcker	1
+ PDF Chat	This Thing Called Fairness	2019	Deirdre K. Mulligan Joshua A. Kroll Nitin Kohli Richmond Y. Wong	1
+	Explaining models	2019	Jonathan Dodge Q. Vera Liao Yunfeng Zhang Rachel Bellamy Casey Dugan	1
+	Mathematical Notions vs. Human Perception of Fairness: A Descriptive Approach to Fairness for Machine Learning	2019	Megha Srivastava Hoda Heidari Andreas Krause	1
+	On a Test of Whether one of Two Random Variables is Stochastically Larger than the Other	1947	H. B. Mann Douglas R. Whitney	1
+ PDF Chat	'It's Reducing a Human Being to a Percentage'	2018	Reuben Binns Max Van Kleek Michael Veale Ulrik Lyngs Jun Zhao Nigel Shadbolt	1
+	Alternative Ways of Assessing Model Fit	1992	Michael W. Browne Robert Cudeck	1
+	Use of Ranks in One-Criterion Variance Analysis	1952	William Kruskal W. Allen Wallis	1