ai写作检测

当然，要培养出鉴赏AI的技能，多少还是需要我们训练训练自己的大脑模型的。那如果不善于此的朋友，想要判断眼前的作品是否是AI造物呢？AI技术自己带来的造假难题，也该由AI自己的同僚互鉴打假来解决。现在已有不少网站在做这件事情，通过对大量的图片数据的抓取和分析，给出对画作属性的判断可能性。例如使用AI来鉴别AI绘图性质的网页：ILLUMINARTY（https://app.illuminarty.ai/）。但在测试过程中，有些结构严谨的真实摄影作品，反而会被识别为AI作图。这跟我们前面提到的，AI作画很难完成严谨真实的结构这一点，是相互矛盾的。鉴别的AI认为，过于严谨的图像不像是真实的人造产物。而画图的AI其实难以生成严谨的结构造型。这就是鉴定AI自身的逻辑算法，并不能像人类一样综合去考虑不符合人的逻辑的各种表现。多试几张，就能磕着瓜子看AI吵架了。甚至作长者摇头抚须状，长叹一声，「AI后生们，还有很长的路要走啊。」我们看完AI显眼包的快乐丢撵后，来聊聊「我们为什么要鉴别AIGC」？已经「知其然」，也大略「知其所以然」，而后终于能顺势讨论讨论「知何由以知其所以然」。

LaTeX：虽然不是纯粹的AI工具，但结合了自动化和模板，可以高效地处理论文格式和数学公式。Overleaf：一个在线LaTeX编辑器，提供丰富的模板库和协作功能，简化论文编写过程。1.研究伦理和抄袭检测：Turnitin：一个广泛使用的抄袭检测工具，帮助确保论文的原创性。Crossref Similarity Check：通过与已发表作品的比较，检测潜在的抄袭问题。这些工具可以帮助研究人员和写作者在写作过程中克服各种挑战，从提高语言质量到激发创意，再到引用文献和抄袭检测。使用这些工具时，重要的是要结合自己的写作风格和需求，选择最合适的辅助工具。内容由AI大模型生成，请仔细甄别。

In terms of learning,we also need to engage in hands-on,minds-on,technically minimal learning in order to master a skill.In other words,we shouldn’t use AI when we are first learning a new skill.When Learning a Skill,Start with the Human Element FirstI reached out to my friend Trevor Muir and asked him,“What would you recommend to tackle the problem of cognitive atrophy?” His response was,“I love this topic.I’ve been thinking about it in writing.I don’t think teachers should use AI with students in writing until students have mastered it first.”If we ask students to use AI for writing,they need to know what good writing looks like.That takes time.And effort.And a whole bunch of mistakes.If we want students to edit an AI generated text with their own voice,we need them to find their creative voice first.This is true of AI in writing but also AI in math.We don’t want students using AI to check their processes if they haven’t first learned the mathematical process.It’s true of computer coding,where we might start with a Scratch project,then hand-written code,then an AI and coding hybrid.Be Deliberate About What You Off-Load to AIA couple of months ago,I wrote about seven things we should consider when deciding to use AI.People often ask,“When is it okay to use AI?” The short answer is,“It depends on the learning task.” In using AI,we don’t want the machine to do the learning for us.This is why we should start with the learning tasks and then ask,“Does the AI help or hinder the learning in this situation?” The core idea here is that we need to use the learning targets to drive the AI and not the other way around.If you’re teaching a coding class,you might want to be tight with students on using generative AI to create any kind of code.You might want students to learn how to code by hand first and then,after mastering the language,use AI-generated code as a time-saving device.