信任与合规

数据隐私

我们的产品隐私政策解释了我们的个人信息收集、使用和披露做法，以及您在个人信息方面的权利。下面还包括一些有关我们针对教育机构客户的隐私保护措施的精选和概览信息：

1. 地区所有权：我们并不拥有由我们保管的学生个人信息。我们对学生个人信息的使用和维护仍受教育机构的直接控制。
2. 我们对学生个人信息的使用： 我们将学生个人信息用于支持客户的教育目的。我们不会将学生个人信息用于任何广告目的，包括定向广告目的。 
3. 数据保留：我们会在合同到期或终止后 90 天内删除学生的个人信息。教育机构客户可随时要求访问、修改或删除其学生的个人信息，我们将及时满足此类要求。
4. 13 岁以下学生：我们遵守《儿童在线隐私保护法案》（COPPA）规定的义务。当我们的教育机构客户选择让 13 岁以下的学生使用我们的产品时，我们会要求教育机构确认他们已被授权同意我们收集 13 岁以下学生的必要个人信息。 
5. 数据保护：我们实施并维护一项安全计划，其中包括符合行业标准的管理、技术和物理保障措施，以帮助保护我们所管理的学生数据的机密性、完整性和可用性。 

如需了解有关我们隐私保护措施的更多信息，请参阅我们的《产品隐私政策》。

Responsible A.I. Use

From its founding in 2001, Avant’s philosophy has always been to combine the power of technology with human wisdom. We apply that same philosophy to the use of artificial intelligence (A.I.) in our products and services. We are committed to maintaining the highest standards of quality, fairness, and integrity. As part of that commitment, we have recently begun incorporating A.I. tools in select areas of our work — primarily within Mira, our subsidiary company’s language learning platform, within AvantProctor, to assist our human proctors by flagging potential test violations, and within our STAMP tests.

In Avant STAMP, A.I. is currently utilized only in specific areas of test development and response scoring. These include assisting in the creation of some Reading and Listening passages, generating certain images, and scoring select responses. At the present time, only responses in Avant STAMP Spanish, French, Mandarin Chinese, and English might be scored with the additional aid of A.I.

Importantly, the performance of all A.I.-based tools used in STAMP are closely monitored by our Content Development and Research teams. In the case of the scoring of select responses, sophisticated statistical analyses are conducted to assess the performance of both our human raters and the A.I. tools. These A.I. tools are only deployed when they have been rigorously validated to ensure that they uphold the same standards of quality, consistency, and accuracy as human processes. In fact, for A.I.-scored responses, our in-house machine-learning models have been shown to match – and in some cases exceed – the already high accuracy and reliability of our human raters.

We view A.I. not as a replacement for human expertise, but as a tool that enhances and supports it. By combining human insight with carefully controlled A.I., we ensure that our assessments remain valid, reliable, and trustworthy for all test takers and the organizations relying on our data.