Stand up for ethical AI! How to detect and mitigate AI bias using K... Andrew Butler & Animesh Singh
Channel: CNCF [Cloud Native Computing Foundation]
Date: 2021-05-14

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Stand up for ethical AI! How to detect and mitigate AI bias using Kubeflow - Andrew Butler & Animesh Singh, IBM

The application of AI algorithms in domains such as criminal justice, credit scoring, and hiring holds great promise. At the same time, it raises legitimate concerns about algorithmic fairness. There’s a growing demand for fairness, accountability, and transparency in ML systems. It is important to note that training data isn’t the only source of possible bias and adversarial contamination. It can also be introduced through inappropriate data handling or model selection, or even incorrect algorithm design. To address this, this talk will examine how to build a pipeline that’s open, transparent, secure, fair, and that fully integrates into the AI lifecycle by leveraging Kubeflow Pipelines. Then the correct method to deploy machine learning models in production and collect payloads to enable inbuilt bias checkers using KFServing will be detailed.