Companies that use AI in hiring are trying to determine how to comply with a New York law that mandates they test their systems for potential biases. Businesses and their service providers are grappling with how to comply with New York City's mandate for audits of artificial intelligence systems used in hiring. A New York City law that comes into effect in January will require companies to conduct audits to assess biases, including along race and gender lines, in the AI systems they use in hiring. Under New York's law, the hiring company is ultimately liable--and can face fines--for violations. But the requirement has posed some compliance challenges.

Talk is cheap regarding companies talking up their credentials in Environment Social and Governance (ESG). But artificial intelligence and natural language processing can help identify those who are more serious about it than others. At U.S.-based fund manager Acadian Asset Management, the firm has developed a tool that uses artificial intelligence and machine learning to rank corporates by the seriousness of their intent. In the investment world, many fund managers base their decisions on which companies to invest in on how much they disclose about their activities. But this is only part of the story, says Acadian's director of responsible investing, Andy Moniz.

There is widespread agreement that responsible artificial intelligence requires principles such as fairness, transparency, privacy, human safety, and explainability. Nearly all ethicists and tech policy advocates stress these factors and push for algorithms that are fair, transparent, safe, and understandable. But it is not always clear how to operationalize these broad principles or how to handle situations where there are conflicts between competing goals. It is not easy to move from the abstract to the concrete in developing algorithms and sometimes a focus on one goal comes at the detriment of alternative objectives. In this paper, I discuss ways to operationalize responsible AI in the federal government.

The Olympics are all about emotion – the drama of world-class competition, the pageantry of medal ceremonies, and the moment-to-moment celebrations of the human spirit in action. The 2022 Winter Games kicked off on February 4th in Beijing, China. Despite the fact that the Games feel a little different because of COVID restrictions, nearly 3,000 athletes from 91 countries are competing in 109 events across events like alpine skiing, figure skating, ice hockey, luge, bobsled, snowboarding, and speed skating. And behind the scenes, there are huge technological advances helping athletes become better, faster, and stronger. Let's take a look at how artificial intelligence, the IoT, and intelligent devices are being used at the Olympic Games.