Fairness in rankings and recommendations: an overview
We increasingly depend on a variety of data-driven algorithmic systems to assist us in many
aspects of life. Search engines and recommender systems among others are used as …
aspects of life. Search engines and recommender systems among others are used as …
Machine learning testing: Survey, landscapes and horizons
This paper provides a comprehensive survey of techniques for testing machine learning
systems; Machine Learning Testing (ML testing) research. It covers 144 papers on testing …
systems; Machine Learning Testing (ML testing) research. It covers 144 papers on testing …
Outlining traceability: A principle for operationalizing accountability in computing systems
JA Kroll - Proceedings of the 2021 ACM Conference on Fairness …, 2021 - dl.acm.org
Accountability is widely understood as a goal for well governed computer systems, and is a
sought-after value in many governance contexts. But how can it be achieved? Recent work …
sought-after value in many governance contexts. But how can it be achieved? Recent work …
Fairness in rankings and recommenders: Models, methods and research directions
E Pitoura, K Stefanidis… - 2021 IEEE 37th …, 2021 - ieeexplore.ieee.org
We increasingly depend on a variety of data-driven algorithmic systems to assist us in many
aspects of life. Search engines and recommendation systems amongst others are used as …
aspects of life. Search engines and recommendation systems amongst others are used as …
Perfectly parallel fairness certification of neural networks
Recently, there is growing concern that machine-learned software, which currently assists or
even automates decision making, reproduces, and in the worst case reinforces, bias present …
even automates decision making, reproduces, and in the worst case reinforces, bias present …
Human-centred artificial intelligence: a contextual morality perspective
The emergence of big data combined with the technical developments in Artificial
Intelligence has enabled novel opportunities for autonomous and continuous decision …
Intelligence has enabled novel opportunities for autonomous and continuous decision …
[HTML][HTML] Monitoring machine learning models: a categorization of challenges and methods
T Schröder, M Schulz - Data Science and Management, 2022 - Elsevier
The importance of software based on machine learning is growing rapidly, but the potential
of prototypes may not be realized in operation. This study identified six categories of …
of prototypes may not be realized in operation. This study identified six categories of …
Fairprep: Promoting data to a first-class citizen in studies on fairness-enhancing interventions
The importance of incorporating ethics and legal compliance into machine-assisted decision-
making is broadly recognized. Further, several lines of recent work have argued that critical …
making is broadly recognized. Further, several lines of recent work have argued that critical …
Data distribution debugging in machine learning pipelines
Abstract Machine learning (ML) is increasingly used to automate impactful decisions, and
the risks arising from this widespread use are garnering attention from policy makers …
the risks arising from this widespread use are garnering attention from policy makers …
Ethically aligned design of autonomous systems: Industry viewpoint and an empirical study
Progress in the field of artificial intelligence has been accelerating rapidly in the past two
decades. Various autonomous systems from purely digital ones to autonomous vehicles are …
decades. Various autonomous systems from purely digital ones to autonomous vehicles are …