NLP and LLM teams often grow their training corpuses to improve model performance but they still do not always obtain p ...

AI systems are only as useful as the data behind them. Teams building LLM workflows, retrieval pipelines, market intelligence ...

In the 1950s, the UK government formed a committee to investigate fears of a homosexual “problem” in Britain. This was partly sparked by a series of scandals, including the exposure of a Soviet spy ...

Collecting data allows businesses to glean essential information for improving processes, reducing costs, better serving customers and more. However, it also comes with risk: Every organization that ...

The defunding of the US Agency for International Development (USAID), along with reductions in aid from the UK and elsewhere, raises questions about the continued collection of data that helps inform ...

One of the biggest challenges in making AI projects a success is dealing with the requirements for data needed by machine learning systems. Machine learning systems work by generalizing learnings from ...

Innovative technologies of the Fourth Industrial Revolution (4IR) are transforming and modernizing the way data is generated, collected, and analyzed across different industries and fields of study. 1 ...

When hackers breached companies like Dropbox and LinkedIn in recent years—stealing 71 million and 117 million passwords, respectively—they at least had the decency to exploit those stolen credentials ...

Americans leave traces of their activities, preferences and personal information in many places, both online and off. And this personal data can be fodder for both companies and the government alike.

For more recent findings on data privacy, read our 2023 report “How Americans View Data Privacy.” A majority of Americans believe their online and offline ...