Hiring

Telemarketers and college professors are most likely to find their jobs changing due to advances in language modeling, according to a new study. Researchers projected the jobs and industries in the U.S. likely to be most affected by language models.

What do your GitHub projects reveal about your professional prospects? A new model aims to help recruiters find out. Prog.ai analyzes GitHub repositories to help employers find engineers skilled in particular areas, TechCrunch reported.

Companies are using AI to screen and even interview job applicants. What happens when out-of-control algorithms are the human resources department?

EPIC published a summary of AI-related laws that states and cities considered between January 2021 and August 2022.

Some of the world’s largest corporations will use standardized criteria to evaluate AI systems that influence hiring and other personnel decisions.

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.

An independent test found flaws in AI systems designed to evaluate job applicants. MyInterview and Curious Thing, which automate job interviews, gave a candidate who spoke only in German high marks on English proficiency, according to MIT Technology Review.

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.

Auditing is a critical technique in the effort to build fair and equitable AI systems. But current auditing methods may not be up to the task. There’s no consensus on how AI should be audited, whether audits should be mandatory, and what to do with their results.

A new database tracks failures of automated systems including machine learning models. The Partnership on AI, a nonprofit consortium of businesses and institutions, launched the AI Incident Database, a searchable collection of reports on the technology’s missteps.

What if AI requires so much computation that it becomes unaffordable?The fear: Training ever more capable models will become too pricey for all but the richest corporations and government agencies. Rising costs will

As employers turn to AI to evaluate job applicants, a U.S. state imposed limits on how such tools can be used. The Illinois legislature passed the AI Video Act, which gives candidates a measure of control over how hiring managers collect and store video interviews.

For some college graduates, landing a first job means making a good impression on a chatbot. University guidance counselors around the U.S. are preparing students for interviews with AI-powered screening algorithms.

Will biases in training data unwittingly turn AI into a tool for persecution? Bias encoded in software used by nominally objective institutions like, say, the justice or education systems will become impossible to root out.