大学学术操守协会警告：真正的威胁不是来自AI， 而是美国社会不再尊重知识和学习
这里的目标不是抓住学生作弊，而是更好地支持他们。 合同作弊的商业模式威胁着学生和机构，只有开始破坏他们的盈利能力，我们才能打破他们的商业模式。
遗憾的是，正如我上面提到的，随着学习过程的进行，数据中清晰可见的模式变得更加明显。 事实上，很容易发现学生在学位课程中作弊。 在我看来，最重要的最后关头是，没有证明自己学识的学生不应该能够从我们的机构毕业并获得学位。 当我们毕业的学生不是我们所说的（知识、技能等）时，除了我们面临的明显声誉风险外，我们还面临其他风险。 首先，其他学生将作弊视为获得资格的完全有效方法的风险。 这是我们现在所处的阶段。 数以千计的学生已经毕业，目前正在完成他们的学业，但几乎没有我们期望他们拥有的知识。 作弊极为普遍，而且基本上不受制止。
其次，也是最重要的是，我们冒着更大的风险，即我们的社会将不再看到我们所做事情的价值。 他们将不再看到教育的价值。 如果发生这种情况，没有什么能拯救我们。
The goal here is not to catch students cheating, but to better support them. The business model of contract cheating threatens students as well as institutions, and we can only break their business model when we start breaking their profitability.
Sadly, as I mentioned above, the patterns clearly visible in data become all the more apparent as the course of study progresses. It is, in truth, quite easy to detect students cheating across the course of a degree. The most important final juncture, to my view, is that a student who has not demonstrated their learning should not be able to graduate with a degree from our institutions. Aside from the obvious reputational risks we run when we graduate a student who is not who we say they are (knowledgeable, skilled, etc) there are further risks that we run. Firstly, the risk that other students see cheating as a perfectly valid approach to gaining a qualification. This is the stage we are at now. Thousands of students have graduated, and are currently completing their studies, without nearly the learning we expect them to have. Cheating is extremely widespread, and largely unchecked. Secondly, and most importantly, we run the far greater risk that our society will stop seeing the value in what we do. They will stop seeing the value in education. If that happens, nothing will save us.
