How did you know the cover letters were AI-generated?
1. Too Perfect: If the language is too polished, without any flaws, it might be a sign. However, this is not conclusive as many humans also produce impeccable cover letters.
2. Generic Content: AI-generated content might be overly generic, lacking personal anecdotes, or specific experiences that tie the candidate to the position.
3. Mismatched Details: Sometimes AI might include details or skills that don't necessarily align with the person's actual background, especially if it's generating content based on a broad set of inputs.
4. Lack of Personal Touch: Personal nuances, humor, or any unique writing style that most humans have might be absent in AI-generated content.
5. Repetition: AI sometimes has a tendency to be repetitive or overuse certain phrases.
6. Too Structured: While structure is good, if every sentence seems to follow an almost formulaic pattern, it could be a hint.
7. Check References: If the cover letter mentions specific details, cross-checking them with the resume or online profiles might show inconsistencies.
8. Use Detection Tools: There are online tools and software solutions designed to detect AI-generated content. However, their efficacy can vary.
9. Ask Direct Questions: If you're hiring and suspect a cover letter might be AI-generated, you can always ask the candidate specific questions about its content during an interview.
10. Gut Feeling: Sometimes, it's just a feeling that the content doesn't "sound human". Trust your instincts, but always give the benefit of the doubt and follow up with other methods.
Remember, the use of AI tools isn't inherently negative. Some people might use AI to help draft or polish their cover letters. What's important is the authenticity of the experiences and skills presented and the genuine fit for the role.
> Detecting if a cover letter is AI-generated can be challenging, especially as AI improves over time.
huh? that doesn't seem true, it's pretty easy to tell AI-written work
> However, here are some general tips that might help:
Oh lol.
(actually written by me ways to tell):
- it will ALWAYS give an irrelevant first couple lines that sound like they're from a third grader's "haha you have to write an introductory paragraph" assignment
- it tries to "both sides" literally EVERYTHING it says. like if you said "how do you make a snowman" it would say something like "Learning to build a snowman can be challenging. However, if you live in a cold climate with snow, it's a great activity for both children and adults!" like what? why do you need a POV contrast here? but it will always do this.
- there's next to 0 sentence length variation.
- no idiosyncratic tendencies, eg using "like" a lot. Few people write like this, we write like we talk (as you can see I picked this example because I'm, like, guilty of it myself)
- no personal anecdotes at all. people like to talk about ourselves. the fact that an AI-generated response will never do this is very weird. (though I guess it would if you said "write a cover letter about myself")
I'm sure there's a shitton of clues that I pick up on subconsciously but yeah AI content is pretty obviously AI content.
Pretty sure this is from all the blog spam it was trained on. They all use this writing style.
*1. Academic Tone (Concise):*
Detecting AI-written cover letters is tough, but here are quick tips:
1. Watch for flawless language. 2. Look for generic, non-personal content. 3. Check for odd details that don't fit. 4. Absence of human touch, humor, or style. 5. Beware of repetitive phrases. 6. Too structured? Might be AI. 7. Cross-reference details with references. 8. Try AI detection tools (varying results). 9. Ask candidates direct questions in interviews. 10. Trust your gut but stay fair.
AI use isn't all bad; authenticity and fit matter most.
*2. Informal and Conversational Tone (Concise):*
Spotting AI-written cover letters is tricky, but here are the real-talk tips:
1. Too perfect? Red flag. 2. Generic content? Not a good sign. 3. Weird details? AI mistake, maybe. 4. Missing human vibes? Yep, AI. 5. Repeating phrases? AI does that. 6. Super structure? AI-like. 7. Fact-check with their profiles. 8. Tech tools? Hit-or-miss. 9. Grill candidates with direct questions. 10. Trust your instincts, but be fair.
AI tools aren't all bad; some folks use 'em to jazz up their cover letters. What counts is the fit for the job.
*3. Sci-Fi Futuristic Tone (Concise):*
In the quest to detect AI-generated cover letters, here are key signposts:
1. Absolute precision: Beware impeccable language. 2. Generality: AI leans generic. 3. Juxtaposed fictions: AI might invent details. 4. Humanity essence: AI lacks human touch. 5. Echo chamber: Watch for repetitive phrases. 6. Algorithmic straitjacket: AI can be formulaic. 7. Verification: Cross-check specifics. 8. Detection tools: Varying efficacy. 9. Directness: Ask direct questions. 10. Intuition: Trust your instincts.
AI use isn't inherently evil; focus on fit and authenticity.
“Detecting AI-written cover letters is tough, but here are quick tips:”
It’s his ChatGPT opens most discussions.
but here are the real-talk tips
In other words: Upon perusal of a mere handful, the prevailing characteristic becomes abundantly clear. The prose predominantly revels in a labyrinthine complexity, intertwined with a flourish of ornate lexicon.
this is how im told to write for a corporate setting... this is insanity lol, be perfect, but not to perfect.
With ChatGPT some of its stock phrases are quite easily recognisable and I'm sure they're a lot more recognisable having seen 30 other generic cover letters that also use them!
I have to figure out how not to sound like an AI overlord :)
(Took a few attempts, but eventually got an AI response that followed the guidelines—no question repetition and in the style of a HackerNews comment. Pretty neat. ((This too was AI generated)))
2. They can be lengthy.
You're dinging people for being too long?
I mean, what are your metrics for a cover letter then?
In theory, Large Language Models (LLMs) like ChatGPT are designed to generate text that is challenging to discern from human-written content, allowing for a wide range of styles and tones.
However, in practice, these models are often fine-tuned to serve specific purposes or emulate particular writing styles, making them more recognizable and less versatile. Fine-tuning narrows down the model's output to align with desired characteristics, sacrificing some of the inherent diversity and unpredictability found in their raw generative abilities.
This fine-tuning process can result in LLMs producing text that conforms to a specific style or pattern, potentially reducing their ability to seamlessly blend in with the full spectrum of human-written content.