LanguageLine survey: 6.2% of organisations use AI interpretation, and a third have no quality checks
Only 6.2% of organisations in a survey by LanguageLine Solutions said they currently use AI-assisted interpretation, and another 6.2% are piloting it, according to a press release. The responses were collected as of August from 113 professionals responsible for language access, operations, customer experience, clinical services and technology, more than 70% of them senior leaders.
Quality worries dominate. 71.7% named interpreter quality as a top concern, and nearly all respondents (94.7%) said consistent quality monitoring matters. Yet 34.5% have no formal process to evaluate the quality of multilingual conversations and rely on complaints after the fact. 83.2% said a single view of quality and compliance across languages would be valuable.
"They're asking if they can trust AI in the kinds of complicated, high-stakes conversations people actually have," said CEO Simon Yoxon-Grant. LanguageLine, which sells human interpretation, says it handles more than 87 million interactions a year for companies, hospitals and government agencies.
We hope you enjoyed this article
Consider subscribing to one of our newsletters like Daily AI Brief.
Also, consider following us on social media:
Daily AI Brief
Daily report covering major AI developments and industry news, with both top stories and complete market updates
Whitepaper
Tensordyne Napier: What If One Rack Could Do the Work of Nine?
Tensordyne
This Tensordyne whitepaper presents Napier, an inference-focused AI processor and rack-scale system based on the company’s TDN Math logarithmic number system. It examines infrastructure requirements for large mixture-of-experts and agentic models, compares major inference architecture approaches, and details the TDN AIP processor, TDN72 pod, TDN Link fabric, and Napier Ultra configuration. The paper reports simulation-based performance, cost, and accuracy-validation results, including Tensordyne’s projected comparison of one Napier rack with a nine-rack Nvidia Rubin plus Groq deployment; the chip is reported as taped out and in fabrication.
Read moreYou may also like
Linnworks survey: ecommerce firms want AI built in but few trust it to buy stock
Pew survey finds 60% of Americans uneasy with AI in medical care
Further finds 69% of companies have not scaled AI
EU survey finds 42% of smaller companies use AI or automated management
Kaplan survey finds 40% of UK finance leaders cite lost business over AI skills
Daily AI Brief: the AI news that matters, in your inbox.