Blog

Team TimeLark Team TimeLark

TimeLark: Understanding relationships over time made easy

Sifting through mountains of articles and documents is time-consuming and often feels like looking for a needle in a haystack. Can we use AI to help journalists get a clear overview of a story, letting them quickly zoom in to the most interesting parts, and freeing up their valuable time to focus on in-depth reporting?

Read More
Team Daisy Team Daisy

Daisy: Pioneering Data Journalism with LLMs

The upcoming 2024 General Elections in India, poised to be the world's largest democratic exercise, will provide a compelling opportunity for data journalists to leverage the latest advancements in Artificial Intelligence (AI). As part of the JournalismAI Fellowship 2023, our project, Daisy, aims to revolutionise data journalism using LLMs.

Read More
Team BiasBlocker Team BiasBlocker

BiasBlocker: We asked a language model to identify racism and it tried to erase baby Hitler

Biased copy can exist in many forms: It can be problematic or offensive words; narrow framing of a topic; leading language to draw the reader to a conclusion; omission of detail; or using vocabulary designed to provoke the pathos of the author.

There are many aspects to our project — including half of it being developed in Arabic. But at the three-month milestone of our six-month development cycle, and for the purposes of this blog, we’re only going to focus on what happened when we tried to train data with ChatGPT and explore how popular language models currently interpret bias and racism in the English language.

Image from Teresa Berndtsson / Better Images of AI / Letter Word Text Taxonomy / CC-BY 4.0

Read More