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Fairness Testing: A Comprehensive Survey and Analysis of Trends [article]

Zhenpeng Chen, Jie M. Zhang, Max Hort, Federica Sarro, Mark Harman
2022 arXiv   pre-print
Research has focused on helping software engineers to detect fairness bugs automatically. This paper provides a comprehensive survey of existing research on fairness testing.  ...  We also analyze the research focus, trends, promising directions, as well as widely-adopted datasets and open source tools for fairness testing.  ...  Many thanks to those authors who kindly provided comments and feedback on earlier drafts of this paper.  ... 
arXiv:2207.10223v2 fatcat:2k3zj2lr2fh7dhapetkm6irame

Astraea: Grammar-based Fairness Testing [article]

Ezekiel Soremekun and Sakshi Udeshi and Sudipta Chattopadhyay
2022 arXiv   pre-print
In our evaluation, ASTRAEA generated fairness violations with a rate of ~18%. ASTRAEA generated over 573K discriminatory test cases and found over 102K fairness violations.  ...  In such events, developers are saddled with the task of conducting fairness testing.  ...  This work is also partially supported by OneConnect Financial grant number RGOCFT2001, Singapore Ministry of Education (MOE), President's Graduate Fellowship and MOE grant number MOE2018-T2-1-098.  ... 
arXiv:2010.02542v5 fatcat:n6ka7pbchrdczpnsgcjpomybfm

Fair and balanced?

Christian Bird, Adrian Bachmann, Eirik Aune, John Duffy, Abraham Bernstein, Vladimir Filkov, Premkumar Devanbu
2009 Proceedings of the 7th joint meeting of the European software engineering conference and the ACM SIGSOFT symposium on The foundations of software engineering on European software engineering conference and foundations of software engineering symposium - ESEC/FSE '09  
The question naturally arises, are the bug fixes recorded in these historical datasets a fair representation of the full population of bug fixes?  ...  We draw the lesson that bias is a critical problem that threatens both the effectiveness of processes that rely on biased datasets to build prediction models and the generalizability of hypotheses tested  ...  Space considerations inhibit a further, more comprehensive survey.  ... 
doi:10.1145/1595696.1595716 dblp:conf/sigsoft/BirdBADBFD09 fatcat:trrwxdjtnjg3jdvxmbhhi2h6aa

Fair SA: Sensitivity Analysis for Fairness in Face Recognition [article]

Aparna R. Joshi, Xavier Suau, Nivedha Sivakumar, Luca Zappella, Nicholas Apostoloff
2022 arXiv   pre-print
With the increasing focus on the fairness of models, we use face recognition as an example application of our framework and propose to compactly visualize the fairness analysis of a model via AUC matrices  ...  We analyze the performance of common face recognition models and empirically show that certain subgroups are at a disadvantage when images are perturbed, thereby uncovering trends that were not visible  ...  Such an analysis can help with a broad and quick evaluation of the impact on subgroups and effect of perturbations.  ... 
arXiv:2202.03586v2 fatcat:z3mjhsevhzdlndrlbmtsmp2ite

Fairness and Justice in L2 Classroom Assessment : Perceptions from Test Takers

Matthew P. Wallace, University of Macau
2018 The Journal of AsiaTEFL  
Regression analysis revealed that procedural and interactional fairness were predictive of justice perceptions of the language program.  ...  Fairness and justice are key aspects in the evaluation of language assessments. In this paper, I argue that fairness and justice are subjective perceptions of test takers.  ...  His research interests cover fairness and justice in language testing, language teaching and learning, and L2 listening comprehension. Email: mpwallace@umac.mo  ... 
doi:10.18823/asiatefl.2018.15.4.11.1051 fatcat:tyhldu54ivdxddpgwseymehlzm

Software Fairness: An Analysis and Survey [article]

Ezekiel Soremekun, Mike Papadakis, Maxime Cordy, Yves Le Traon
2022 arXiv   pre-print
In this work, we provide a clear view of the state-of-the-art in software fairness analysis.  ...  To this end, we collect, categorize and conduct an in-depth analysis of 164 publications investigating the fairness of learning-based software systems.  ...  CONCLUSION AND FUTURE OUTLOOK This paper presents a comprehensive analysis and survey of publications on software fairness.  ... 
arXiv:2205.08809v1 fatcat:63whhiyjvvaida4kjvpsyd7gh4

ENVRI-FAIR D6.1 Inventory & gap analysis of FAIR training materials

Margareta Hellström, Maria Johnsson, Jacco Konijn, Nicola Fiore, Erwann Quimbert, Damien Boulanger, Garry R. Baker
2019 Zenodo  
The outcomes of these gap analyses will be used to inform the prioritization and planning of ENVRI-FAIR training and skills-building activities, including the preparation of new course materials and the  ...  This deliverable summarizes the gap analyses undertaken to 1) clarify the needs & requirements of the ENVRI-FAIR project partner RIs for training on both general FAIR-related topics as well as related  ...  Acknowledgements We gratefully acknowledge the valuable contributions that we received from the representatives of the research infrastructures across all the ENVRI-FAIR sub-domains.  ... 
doi:10.5281/zenodo.3885122 fatcat:yfnfndabvrdxtb7a5cqzd6rjse

Measuring Non-Expert Comprehension of Machine Learning Fairness Metrics [article]

Debjani Saha, Candice Schumann, Duncan C. McElfresh, John P. Dickerson, Michelle L. Mazurek, Michael Carl Tschantz
2020 arXiv   pre-print
We develop a metric to measure comprehension of three such definitions--demographic parity, equal opportunity, and equalized odds.  ...  We take initial steps toward bridging this gap between ML researchers and the public, by addressing the question: does a lay audience understand a basic definition of ML fairness?  ...  Award NLM-013039-01, and a Google Faculty Research Award.  ... 
arXiv:2001.00089v3 fatcat:lli65dljavdidb7etsjlxvag5y

Being Fair to Hierarchists

Mary Douglas
2003 University of Pennsylvania law review  
propose to conduct a new survey of attitudes toward gun control. They use the cultural theo of risk developed in the 1970s and 1980s to analyze public concern. about dangerous technology.  ...  In critique of the Kahan and Bravman article, Professor Donglas focuses on the difficulty of excluding observers' bias firom the construction of a suvey on culture. 2003] 1351  ...  in describing an office given over to a time-tested culture of teadrinking, gossip and procrastination  ... 
doi:10.2307/3312933 fatcat:ejkc7ibqnff4vbahv67xszgmde

Mathematical Notions vs. Human Perception of Fairness: A Descriptive Approach to Fairness for Machine Learning [article]

Megha Srivastava, Hoda Heidari, Andreas Krause
2019 arXiv   pre-print
We run adaptive experiments designed to pinpoint the most compatible notion of fairness with each participant's choices through a small number of tests.  ...  We take a descriptive approach and set out to identify the notion of fairness that best captures lay people's perception of fairness.  ...  Survey Design and Analysis To test H3, we presented participants with three algorithms, each offering a different trade-off between accuracy and equality.  ... 
arXiv:1902.04783v4 fatcat:ty2zftlwinatxiwzdcwkpjsryi

A floristic survey of Fair Isle

C. V. Quinteros Peñafiel, N. J. Riddiford, A. D. Twyford
2017 New Journal of Botany  
A botanical survey 17 was performed for each monad, and habitat information was collated following 18 the NCC Phase 1 habitat survey method.  ...  12 13 Fair Isle is a small isolated island located off the northern tip of Great Britain. 14 Recognised internationally for rare migratory birds and important seabird 15 colonies, the flora of Fair Isle  ...  floristic analysis of the remote island 203 of Fair Isle.  ... 
doi:10.1080/20423489.2017.1393191 fatcat:2ottpzlm2zgrniqfyyxeq7yiwy

Testing the Saturday Night Live Hypothesis: Fairness and Bias in Newspaper Coverage of Hillary Clinton's Presidential Campaign

Melissa K. Miller, Jeffrey S. Peake, Brittany Anne Boulton
2010 Politics & Gender  
on their appearance, personality, and family status at the expense of their qualifications and issue positions.  ...  Studies of press coverage afforded women running for public office indicate that historically, women tend to garner less coverage overall and that the coverage they do receive tends to focus disproportionately  ...  For a comprehensive discussion of these and other trends, see PEJ (Project for Excellence in Journalism) 2009. 5.  ... 
doi:10.1017/s1743923x10000036 fatcat:rudu3euc5nhjxf7in5wttdqafm

ENVRI-FAIR D7.2: Design documents describing FAIR data services provided by selected RIs V2

Markus Stocker, Barbara Magagna, Keith Jeffery, Markus Fiebig, Peter Thijsse, Daniele Bailo, Marc Portier, Siamak Farshidi, Zhiming Zhao
2022 Zenodo  
Of particular focus are the recent developments in FAIR assessment and showcasing how the advanced approach leads to improved insights into FAIR principle implementation in ENVRIs.  ...  We summarize the current state of the ENVRI-FAIR approach to ICT consultancy for research infrastructure managers and developers, aimed at technology convergence across the community of environmental research  ...  Another ongoing activity is mapping out, by means of recurrent surveys, the trends in usage and application of PIDs in the ENVRI community.  ... 
doi:10.5281/zenodo.6982706 fatcat:damrwpjmy5bqhpcgav2yjcnmce

Discrimination, Bias, Fairness, and Trustworthy AI

Daniel Varona, Juan Luis Suárez
2022 Applied Sciences  
In this study, we analyze "Discrimination", "Bias", "Fairness", and "Trustworthiness" as working variables in the context of the social impact of AI.  ...  a conceptual standpoint) their study and their relationship with each other.  ...  Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/app12125826 fatcat:yhhdkrhoa5ha5flavcvqycbdgm

A floristic survey of Fair Isle [article]

Camila V. Quinteros Penafiel, Nick J. Riddiford, Alex D Twyford
2017 bioRxiv   pre-print
A botanical survey was performed for each monad, and habitat information was collated following the NCC Phase 1 habitat survey method.  ...  Fair Isle is a small isolated island located off the northern tip of Great Britain.  ...  and its wardens, Susannah and David Parnaby, for use of facilities at the Bird Observatory; Lee Gregory for his help in the field and photographic material; Steven Sylvester for grasses identification  ... 
doi:10.1101/164566 fatcat:sad2eynlqbehzonzrb2fautnhq
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