Content Moderation

A new regulatory body created by the European Union promises to peer inside the black boxes that drive social media recommendations. The European Centre for Algorithmic Transparency (ECAT) will study the algorithms that identify, categorize...

Contract workers who help train the algorithms behind Google Search won a pay raise. Employees of U.S. contractors who evaluate the quality of Google Search’s results, knowledge panels, and ads will earn $15 per hour, a raise of roughly $1.

The future of Big AI may lie with product-development teams. Meta reorganized its AI division. Henceforth, AI teams will report to departments that develop key products.

There’s a reason why artificial intelligence is sometimes referred to as “software 2.0”: It represents the most significant technological advance in decades. Like any groundbreaking invention, it raises concerns about the future, and much of the media focus is on the threats it brings.

While models like GPT-3 and EfficientNet, which work on text and images respectively, are responsible for some of deep learning’s highest-profile successes, approaches that find relationships between text and images made impressive

A prominent online streaming service is using a machine learning model to identify trolls who try to get around being banned.

A new tool aims to let video gamers control how much vitriol they receive from fellow players. Intel announced a voice recognition tool called Bleep that the company claims can moderate voice chat automatically, allowing users to silence offensive language.

Facebook’s management obstructed the architect of its recommendation algorithms from mitigating their negative social impact. The social network focused on reining in algorithmic bias against particular groups of users at the expense of efforts to reduce disinformation.

Facebook’s content moderation algorithms block many advertisements aimed at disabled people. The social media platform’s automated systems regularly reject ads for clothing designed for people with physical disabilities.

Facing a tsunami of user-generated disinformation, YouTube is scrambling to stop its recommendation algorithm from promoting videos that spread potentially dangerous falsehoods.

Facebook uses automated systems to block hate speech, but hateful posts can slip through when seemingly benign words and pictures combine to create a nasty message. The social network is tackling this problem by enhancing AI’s ability to recognize context.

Facebook’s leadership has thwarted changes in its algorithms aimed at making the site less polarizing, according to the Wall Street Journal. The social network’s own researchers determined that its AI software promotes divisive content.