Google’s Jigsaw unit has revealed a new set of AI tools known as classifiers, which can score posts based on the likelihood that they contain good content. They consider factors such as whether a post is nuanced, contains evidence-based reasoning, shares a personal story, or fosters human compassion.
This development is a shift from the current practice where content on social media platforms is ranked by the amount of engagement it receives. The new AI tools could allow the designers of online spaces to rank posts in a new way. Instead of posts that receive the most likes or comments rising to the top, platforms could choose to put the most nuanced comments, or the most compassionate ones, first.
This was made possible by recent advances in large language models (LLMs). The new generation of LLMs can identify even complex linguistic concepts out of the box, and calibrating them to perform specific tasks is far cheaper than it used to be.
Jigsaw’s new classifiers can identify “attributes” like whether a post contains a personal story, curiosity, nuance, compassion, reasoning, affinity, or respect. This could lead to a healthier and more productive internet, where conversations are driven by quality and compassion rather than mere engagement.
Read more at: time.com