AI technologies such as ChatGPT have made it much easier for candidates to prepare for job applications. Candidates can use those platforms to answer interview questions, write essays, or respond to free-text prompts within seconds. While this advancement works for job seekers, it creates a new problem for recruiters: how do they ensure that the answers provided in writing by the candidates are not mere words put together by an AI device?
When it comes to recruitment, the principle of, it is only through free-text responses that the recruiters can appreciate how each candidate communicates, thinks, and solves problems. However, with the growth in the sophistication of AI-enabled content, recruiters are unsure whether they are assessing an actual response from a candidate or a machine’s polished response to a structured question. This is why there is a need for AI Plagiarism scoring, a qualitative improvement that enables recruiters to evaluate content with less effort and be more accurate in the determination of content forgery.
The Challenge: Authenticity of Free-Text Answers
Free-text answers have also been an area of evaluation that recruiters have considered as weighty. This, however, does not mean that such attributes should be suppressed by these responses. Responding with so many powerful AI tools such as ChatGPT, raises the question of whether that response is the candidates’ own in the first place.
Manually reviewing free-text responses for authenticity is both time-consuming and subjective. Recruiters may think some answers are too good to be true but have no way to prove it. Some might even resort to using plagiarism detection tools for their clients, adding to the complexity of the hiring procedure.
Enter AI-powered plagiarism scoring, in which plagiarism detection is integrated into the recruitment process, enabling the recruiters to evaluate the originality of the candidate’s free text answers instantaneously.
How AI-powered Plagiarism Scoring Works
To use AI-powered plagiarism scoring, the prospective candidates submit free-text responses, which are analyzed in a plagiarism detection tool that contains and compares all the text submitted with all known content. This system also employs the principles of NLP in tracking the use of words or similar phrases by the candidate on the internet or other databases. The system also rates the adequacy of the responses given by the candidate using a plagiarism detector.
The scoring system comes in handy in identifying and putting any suspicious AI-written content on the red flag to prevent recruiters from mistaking thought-out responses with those that were thrashed out by the computer. Also, the scoring of content uniqueness can be incorporated into a candidate scoring system that affects the decisions on whether to hire or not.
Why AI-powered Plagiarism Scoring Is Essential for Recruiters
The Ethical Aspect: Encouraging Authenticity in Candidates
In addition to the potential benefits of time-saving and increased accuracy, there is also a healthy benefit of AI-powered plagiarism scoring in recruitment. It is the commitment of the organization to support the candidates attempting to answer questions on their own. If candidates are aware that their answers will be subject to a plagiarism scan, they will be more inclined to take their time in coming up with responses that will be unique.
This emphasis on individuality is important given the fact that in the current recruitment scenario, attributes such as creativity, problem-solving, and communication are some of the in-demand skills. By urging people to be themselves, recruiters are in turn able to get a better perspective on a candidate while making the process of hiring more candid.
Potential Concerns and How to Address Them
Although AI-powered plagiarism scoring seems to be the best possible response to the threat that has been brought out mainly by AI content, there is a need to embrace caution in its application. One area of concern would be false positivity whereby a candidate’s answer will match other responses found online even when it is original. Hence, recruitment teams ought to integrate plagiarism scores as part of the components of the assessment and not solely rely on them.
Recruiters must be concerned with how such answers are evaluated and inform candidates ahead of time. Talking about the intention and application of AI plagiarism scoring is beneficial in establishing confidence and helps in reinforcing candidates’ compliance with proper response submission.
Conclusion: AI Plagiarism Scoring as a New Paradigm
As the volume of AI-based content keeps increasing, there are certain needs that such recruiting tools must fulfill. For this reason, AI plagiarism scoring is a helpful tool that saves time and allows recruiters to verify free-text responses without extensive work or dependence on other tools. This ensures that the organization does not make any assertions about the capabilities of the candidates that could not be possessed.
Is it difficult for you to address the issue of plagiarism check in free-text inputs? At impress.ai, we create solutions with an understanding of recruitment trends and the tools required to address the challenges of today’s market. Employing our AI-powered recruitment software, such merit-based candidate selection is made possible by the incorporation of AI plagiarism scoring into the recruitment process. Contact us for a demo and learn how one tool – impress.ai – can change the way you recruit.
Thanks for your interest! We'll get back to you soon
A unified AI platform constructed for recruiters, employers, businesses and people
GET IN TOUCH