Instruct: Given the title of a paper, retrieve paper titles that are cited by the given paper
Query: Detecting Bias : Does an Algorithm Have to Be Transparent in Order to Be Fair ?
Seeing without knowing: Limitations of the transparency ideal and its application to algorithmic accountability:
'It's Reducing a Human Being to a Percentage': Perceptions of Justice in Algorithmic Decisions
A Confidence-Based Approach for Balancing Fairness and Accuracy
Fairness and Accountability Design Needs for Algorithmic Support in High-Stakes Public Sector Decision-Making
Quantifying explainable discrimination and removing illegal discrimination in automated decision making
On Fairness and Calibration
Non-Discriminatory Machine Learning through Convex Fairness Criteria
Equality Constrained Decision Trees: For the Algorithmic Enforcement of Group Fairness
A comparative study of fairness-enhancing interventions in machine learning
The Case for Process Fairness in Learning: Feature Selection for Fair Decision Making
A Step Towards Accountable Algorithms ? : Algorithmic Discrimination and the European Union General Data Protection
Automated Directed Fairness Testing
The Ethics of Algorithms: Mapping the Debate
Training Well-Generalizing Classifiers for Fairness Metrics and Other Data-Dependent Constraints
WeBuildAI : Participatory Framework for Fair and Efficient Algorithmic Governance
Fairness-aware machine learning: a perspective
Rawlsian Fairness for Machine Learning.
Accountability in algorithmic decision making
Themis-ml: A Fairness-aware Machine Learning Interface for End-to-end Discrimination Discovery and Mitigation
An End-To-End Machine Learning Pipeline That Ensures Fairness Policies
Machine Ethics: Creating an Ethical Intelligent Agent
cascaded treemaps : examining the visibility and stability of structure in treemaps .
Cells in Multidimensional Recurrent Neural Networks
Hierarchical clustering for complex data
Network security analysis SCADA system automation on industrial process