Applause Targets AI Bias by Sourcing Training Data at Scale

Focus: Methods or Design

Source: VentureBeat

Redability: Intermediate

Type: Website Article

Open Source: Yes

External URL: https://venturebeat.com/2019/11/07/applause-targets-ai-bias-by-sourcing-training-data-at-scale/

Keywords: N/A

Learn Tags: Bias Data Collection/Data Set Data Tools Design/Methods Machine Learning Solution Trust

Summary: Software testing company Applause is looking to reimagine AI testing with a new service that better detects AI bias by crowdsourcing larger training data sets. Applause’s AI training and testing service is offered across five core AI types, covering voice, optical character recognition (OCR), image recognition, biometrics and chatbots.