HackerRank推出AI面试官Chakra，整合传统多轮面试流程

HackerRank于周一正式推出AI面试官Chakra，这款工具经过六个月的测试后向客户开放1。在测试期间，Chakra已完成超过50万场面试1，参与测试的公司包括Snowflake、Snorkel和Capgemini1。

Chakra的核心优势在于评估方式的创新。CEO Vivek Ravisankar指出："之前的评估方式是评估输出，但现在因为AI的存在，任何人都能产生一个产物。"1该系统能够在候选人工作过程中观察并评估他们的思维过程和判断力，而非仅评估最终答案1。该平台将原有的三轮面试流程整合为单一Chakra面试1。

根据HackerRank的数据，使用Chakra的可疑活动标志比传统HackerRank评估低70%-80%1。HackerRank目前拥有3000多个商业客户和3000万开发者社区1。

HackerRank has officially released Chakra, an artificial intelligence-powered interviewer, following a six-month testing period.1 The platform conducted over 500,000 interviews during its beta phase, with participation from companies including Snowflake, Snorkel, and Capgemini.1

Chakra represents a significant shift in how technical candidates are evaluated. Rather than assessing only final answers, the system observes and evaluates candidates' thinking processes and judgment as they work through problems.1 The AI interviewer consolidates what were previously three separate interview rounds into a single Chakra assessment.1 According to HackerRank, the platform flags suspicious activity at a rate 70% to 80% lower than traditional HackerRank evaluations.1

HackerRank CEO Vivek Ravisankar explained the rationale behind the shift: "Previous assessment methods evaluated output, but now that AI exists, anyone can generate a deliverable."1 The company operates a network of over 3,000 business clients and a developer community of 30 million users.1

As automated employment decision tools face increased scrutiny, New York City has begun requiring employers using certain such tools to conduct independent bias audits.1