Some delivery drivers fired by Amazon contend that the retailer’s automated management system played an unfair role in terminating their employment. Drivers in Amazon Flex, an Uber-like program that enables independent drivers to earn money delivering the company’s packages.

Many people both outside and inside the tech industry believe that AI will serve mostly to boost profits and monitor people — without regard for negative consequences.

Face recognition tech tends to be marketed to government agencies, but PimEyes offers a web app that lets anyone scan the internet for photos of themself — or anyone they have a picture of. The company says it aims to help people control their online presence and fight identity theft.

A libel-detection system could help news outlets and social media companies stay out of legal hot water. CaliberAI, an Irish startup, scans text for statements that could be considered defamatory, Wired reported.

Researchers found serious flaws in an influential language dataset, highlighting the need for better documentation of data used in machine learning.

Foiling attackers who try to lure email users into clicking on a malicious link is a cat-and-mouse game, as phishing tactics evolve to evade detection. But machine learning models designed to recognize phishing attempts can evolve, too, through automatic retraining and checks to maintain accuracy.

The European Union proposed sweeping restrictions on AI technologies and applications. The executive arm of the 27-nation EU published draft rules that aim to regulate, and in some cases ban, a range of AI systems.

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.

U.S. authorities are investigating Tesla’s self-driving technology. Federal regulators launched a probe of nearly two dozen accidents, some of them fatal, that involved Tesla vehicles equipped for self-driving.

The UK’s electronic surveillance agency published its plan to use AI. Government Communications Headquarters (GCHQ) outlined its intention to use machine learning to combat security threats, human trafficking, and disinformation — and to do so ethically — in a new report.

A language model is helping crisis-intervention volunteers practice their suicide-prevention skills. The Trevor Project, a nonprofit organization that operates a 24-hour hotline for LGBTQ youth, uses a “crisis contact simulator” to train its staff in how to talk with troubled teenagers.

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.

Having dismissed two key researchers, Google restructured its efforts in AI ethics. Marian Croak, an accomplished software engineer and vice president of engineering at Google, will lead a new center of expertise in responsible AI, the company announced.

Datasets for training face recognition models have ballooned in size — while slipping in quality and respect for privacy. In a survey of 130 datasets compiled over the last four decades, researchers traced how the need for increasing quantities of data led researchers to relax their standards.

A panel of AI experts appointed by the U.S. government came out against a ban on autonomous weapons. A draft report from the National Security Commission on Artificial Intelligence recommends against a proposed international global prohibition of AI-enabled autonomous weapon systems.