AI Fairness 360: An extensible toolkit for detecting and mitigating algorithmic bias

Rachel Bellamy, Kuntal Dey, Michael Hind, +15

IBM Journal of Research and Development

Artificial IntelligenceExtensible ToolkitEngineeringMachine LearningVerification +24

AI Fairness 360: An Extensible Toolkit for Detecting, Understanding, and Mitigating Unwanted Algorithmic Bias

Rachel Bellamy, Kuntal Dey, Michael Hind, +15

arXiv (Cornell University)

Artificial IntelligenceExtensible ToolkitEngineeringMachine LearningVerification +23

One Explanation Does Not Fit All: A Toolkit and Taxonomy of AI Explainability Techniques

Vijay Arya, Rachel Bellamy, Pin‐Yu Chen, +17

arXiv (Cornell University)

Artificial IntelligenceEngineeringFit AllMachine Learning AlgorithmsMachine Learning Tool +19

AI Fairness 360: An Extensible Toolkit for Detecting, Understanding, and\n Mitigating Unwanted Algorithmic Bias

Rachel Bellamy, Kuntal Dey, Michael Hind, +15

arXiv (Cornell University)

Fairness GAN: Generating datasets with fairness properties using a generative adversarial network

Prasanna Sattigeri, Samuel C. Hoffman, Vijil Chenthamarakshan, +1

IBM Journal of Research and Development

Artificial IntelligenceFairness GanEngineeringMachine LearningFairness Properties +16

Optimizing molecules using efficient queries from property evaluations

Samuel C. Hoffman, Vijil Chenthamarakshan, Kahini Wadhawan, +2

Nature Machine Intelligence

EngineeringData ScienceMolecular PropertyComputational BiologyMolecular Computing +3

CogMol: Target-Specific and Selective Drug Design for COVID-19 Using Deep Generative Models

Vijil Chenthamarakshan, Payel Das, Samuel C. Hoffman, +8

neural information processing systems

Drug TargetEngineeringSelective Drug DesignMolecular BiologyCovid-19 +16

AI Explainability 360: An Extensible Toolkit for Understanding Data and Machine Learning Models

Vijay Arya, Rachel Bellamy, Pin‐Yu Chen, +17

Journal of Machine Learning Research

Artificial IntelligenceExtensible ToolkitInteractive Machine LearningMachine LearningData Science +11

AI explainability 360

Vijay Arya, Rachel Bellamy, Pin‐Yu Chen, +17

Artificial IntelligenceExtensible ToolkitEngineeringMachine LearningMachine Learning Models +14

CogMol: Target-Specific and Selective Drug Design for COVID-19 Using Deep Generative Models

Vijil Chenthamarakshan, Payel Das, Samuel C. Hoffman, +8

arXiv (Cornell University)

Drug TargetEngineeringSelective Drug DesignMolecular BiologyCovid-19 +16