
Evaluating Representational Harms in Text-to-Image Models
ImageBite is a new DSL and model-driven process to test ethical concerns in text-to-image models
ImageBite is a new DSL and model-driven process to test ethical concerns in text-to-image models
Large Language Models (LLMs) are being quickly integrated in a myriad of software applications. This may introduce a number of biases, such as gender, age or ethnicity, in the behavior of such applications. To face this challenge, we explore the automatic generation of tests to assess the potential biases of an LLM.
What does the ideal low-code platform for AI-based software look like? In this post we give our wish list for a low-code platform for smart software development
DescribeML is a Visual Studio Code plugin to precisely describe machine learning datasets.
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