This article reviews the current state of decentralized data collection and outlines key steps for wisely selecting a ...

Adversarial debiasing involves training two models simultaneously: one for classification and one that attempts to predict a ...

MIT researchers made a technique that improves the trustworthiness of machine-learning models, which could help improve the accuracy and reliability of AI predictions for high-stakes settings such ...

AI models are riddled with culturally specific biases. A new data set, called SHADES, is designed to help developers combat ...

In my experience working with data engineering and AI, I’ve come to realize that data governance isn’t just about ...

Sarvesh Kumar Gupta's has been marked by significant contributions to major data architecture projects, where he has honed ...

An Institute for the Advancement of Food & Nutrition Sciences’ working group held an April meeting to come to grips with what ...

As detailed in Part I of our three-part series on Minimizing Customs Enforcement and False Claims Act Risks, the combination of the new ...

Salesforce, for example, has infused AI into its software ... “So, we have a data classification scheme that has five or six levels to it. Basically, we’ve been rolling that out as an ...

JOHANNESBURG - The Foundation for Rights of Expression and Equality is challenging the move to reintroduce racial classification in official documentation about land ownership. Free SA has issued ...

In this study, a Bayesian-based weighted scheme is proposed as a non-parametric data driven solution to provide satisfactory performance under small data conditions. The proposed scheme enhances ...