Nature

Dozens of AI disease-prediction models were trained on dubious data

The models are designed to predict someone’s risk of diabetes or stroke. A few might already have been used on patients.

Five signs data drift is already undermining your security models

Security professionals can recognize the presence of drift (or its potential) in several ways. Accuracy, precision, and ...
IFLScience on MSN

AI models can pass on bad habits through training data, even when there are no obvious signs in the data itself

Large language models can transmit harmful behavior to one another through training data, even when that data lacks any ...
Morning Overview on MSN

Many AI disease-risk models trained on flawed health data

Somewhere on Kaggle, the open data platform where anyone can upload a spreadsheet and call it a dataset, two files labeled as ...

Successfully Making The Shift To Data Products In The AI Era

Many organizations talk about being data-driven, yet consistently sideline data when it challenges intuition or convenience.

Frontier models are failing one in three production attempts — and getting harder to audit

Stanford's 2026 AI Index: frontier models fail one in three attempts, lab transparency is declining, and benchmarks are ...
TechCrunch

Making AI models ‘forget’ undesirable data hurts their performance

So-called “unlearning” techniques are used to make a generative AI model forget specific and undesirable info it picked up from training data, like sensitive private data or copyrighted material. But ...

Why AI Won't Save You, But Your Data Will

Before chasing the next shiny technology, technology leaders need to get their operational data in order.​​ The enterprise ...
TechRepublic

Data Modeling vs. Data Analysis: An In-Depth Comparison

Data modeling refers to the architecture that allows data analysis to use data in decision-making processes. A combined approach is needed to maximize data insights. While the terms data analysis and ...
TechRepublic

The different data model types and their uses

At its heart, data modeling is about understanding how data flows through a system. Just as a map can help us understand a city’s layout, data modeling can help us understand the complexities of a ...