Mistakes in hiring can doom projects. With AI talent in short supply, the key to success isn't just hiring people, but hiring the right people, reports WSJ Pro’s Catherine Stupp from Web Summit in Lisbon. Business-technology leaders at the conference said companies deploying AI often make hiring mistakes—failing to find people with the right skills, taking on too many AI specialists, and hiring too many people with similar skills or backgrounds. Indeed, having the right number of professionals who can determine how the technology can help achieve commercial goals is “the single biggest challenge in corporates,” said John Paul, managing director of emerging business at Liberty Global PLC. He said the London-based cable and broadband company only succeeded with about 30% of its AI and data-related projects over the past 10 years. Many failed, Mr. Paul said, because project leaders failed to define how AI could be used to achieve business goals.

HireVue under scrutiny for its AI-based recruitment system. The Electronic Privacy Information Center, the rights group, is asking the Federal Trade Commission to look into HireVue’s business practices, the Washington Post reports. EPIC, according to the Post, says the recruiting company’s AI-driven assessments, which are based on scans of people’s faces and voices, threaten candidates’ privacy rights. EPIC says the technology is unproven. It also says the algorithms are secret, making it “impossible for job candidates to know how their personal data is being used or to consent to such uses,” according to the report. The FTC didn’t comment and HireVue didn’t answer the Post’s requests for a comment. HireVue, however, isn’t the only vendor with an AI candidate-assessment tool, notes MIT Technology Review, which said critics are concerned that the systems’ algos are trained on limited data and more likely to score a white-male applicant as a better candidate. Right now, the MIT Technology Review says, these tools aren’t well regulated and addressing the issue will be hard. One reason why: The simple solution would be to get candidates’ consent before the technology is used, but, say the MIT Technology Review, people wanting a job are unlikely to opt out.

Business group to test Australia’s AI ethics guidelines. Public- and private-sector entities using AI face any number of ethics risks, such as discrimination in recruiting and credit scoring. Governmental bodies are taking the issue seriously and a number of them, such as the European Commission, have formulated guidelines for the responsible use of the technology. One of the latest efforts is happening in Australia. National Australia Bank, Commonwealth Bank, Telstra, Microsoft and Flamingo AI have volunteered to test-run the Australian government’s just-released ethics principles, reports ZDNet. The guidelines address, according to ZDNet, “[h]uman, social and environment well-being; human-centre values in respect to human rights, diversity, and the autonomy of individuals; fairness; privacy protection and security of data; reliability and safety in accordance to the intended purpose of the AI systems; transparency and explainability; contestability; and accountability.”

Hotels in Singapore are testing facial recognition to speed hotel check-in. (Bloomberg) 

AI and human analysts are working together to monitor the Nasdaq for suspicious activity. (MIT Technology Review)

OpenAI has released the text-generating AI system that experts said could be used for malicious purposes. (The Verge)

Intuit has updated QuickBooks with more AI to help small and midsize businesses avoid cash flow issues. (ZDNet) 

The U.S. National Transportation Safety Board said the Uber self-driving test vehicle that hit and killed a woman in 2018 failed to properly identify her as a pedestrian. (BBC)

Nightfall, which provides an AI system for preventing sensitive data leaks, raised $20.3 million in funding. (VentureBeat)

Yandex, the Russian search and services company, is testing self-driving cargo delivery robots. (TechCrunch)

The way to get leaders to support AI projects is to focus on the technology’s potential to augment humans and drive ROI. (Becker’s Hospital Review)

Write to Enterprise Technology Editor Steven Rosenbush and Pro AI Deputy Editor John McCormick.

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