**Why is it practical to use an AI detector as a part of the workflow?
Are you someone involved in determining if the content created was generated by AI or was made by a human? A teacher? Lecturer? Or an HR professional, perhaps? Then this article needs your attention.
We can be optimistic about how AI helps with everyday mundane activities like responding to emails, adding formulas and deriving values from spreadsheets, sorting out information from a sea of irrelevance, and so on. The best thing is that AI helps with all these smaller tasks so that you can spend time making quality decisions that have a larger and more positive impact on your life.
But with the boon of convenience comes the bane of laziness, and AI is over utilised blindly without any effort to verify the legitimacy of the facts presented. Students use AI to complete assignments, making it almost impossible to grade them accurately. Guiding their strengths and weaknesses becomes difficult. Writers release content of low quality with limited fact-checking, leading to the release of misleading information. HR professionals find it difficult to make informed decisions about making the right hire as the content is created by AI.
Moreover, twice the output is expected, making AI a choice of convenience and necessity rather than a luxury. Hence, to help maintain the high stakes, using an AI detector will be the best course of action. A good-quality AI detector will scan the piece of content in less than a minute and flag segments made by AI. If the percentage of AI content is greater than 30 percent, it would be safe to assume that most of the work was done by AI.
Does this mean that AI content is 100 percent correct all the time? The short answer would be โNoโ. there are times when human content may get flagged as AI content and vice versa. This is because new models of generative AI are constantly being made, and although AI detectors are also updated, there will be a slight dip in accuracy even for the best of tools. But this does not mean that they need to be completely removed from consideration. For the best results, you can use two to three tools for crucial decisions.
With numerous AI detectors in the market that are free to use, this need not be a challenge. If you feel that considering AI detectors is a hassle (or if 100 percent perfection is non-negotiable), then the other option is to have a team trained with AI-generated content manually check your content. While it is always advised to have human supervision when generating AI, imagine having a large volume of content you need to check. Also, AI models are constantly improving, making it difficult to keep track of multiple AI language models. This means you will need to have an ever-evolving team of individuals that is accustomed to this unending list of tools. Or, you can simply use an AI detector that is also constantly updated to meet the changing requirements of the AI landscape.
While this may seem like an expensive undertaking, thankfully there are a host of free tools. You can look up any of these. However, most of them have limited input capacity, some need sign-ups, and there are paid ones, which may not be an option if you are testing the waters. This is where AI Detector gives you the better bargain. There is no need for signups; you can input content of up to 25,000 words, and it is free. This could be a good starting point if you wish to start thinking about whether investing in an AI detector is a good option in the long run.
Using an AI detector as a part of the workflow would be a good option, especially in fields like academia, marketing, and HR. An AI detector would act as a gate keeping mechanism to help sift out low-quality content, and it would also encourage those involved in creating this content to pursue excellence.**
Here's the link go and enjoy with AI:
https://www.hirequotient.com/ai-detector
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