A Human's Guide To Detecting AI Generated Content

human vs AI content [part 2]

AI often struggles with conveying emotions authentically and using humor effectively. Emotional expressions might feel shallow or clichéd.

ex: "🤣🤣 LOL, no promises there! But don't worry, if the bricks ever do start flying, I'll make sure to catch 'em with a pillow and send 'em right back with a playful wink and a sassy one-liner like, "Ooh, those bricks look heavy. Guess someone's trying to punish you for being an amazing storyteller.""

from a conversation with "pi.ai"

I joked about not being attacked and instead of rubbing in the joke like a human would, it went into its "safe AI" mode which is by saying, "I'll catch the bricks" and that... happens a lot when you try to joke with AI. Don't even get me started on how the dark humor goes, it's a hit or miss with AIs!

You bet I'll put an example for everything. This is a long ride.

- Verbose and Redundant Explanations

AI might provide more information than necessary or repeat itself, as it tries to ensure completeness.

ex: "That's wonderful to hear! Setting boundaries can be a powerful and empowering step towards taking care of yourself and your emotional well-being. It's essential to communicate your needs and limits clearly with others, including your friends, and it's great that you took that step.

Remember that boundaries are about protecting yourself and ensuring that your needs are met. It's normal to feel a bit uncomfortable or uncertain when you start implementing them, but over time, it will become easier, and you'll find that it leads to healthier and more fulfilling relationships."

from a conversation with "ChatGPT"

The redundant points about boundaries and the fact this is loaded with terms... might be a giveaway.

- Over-Reliance on Data and Statistics

While humans use data and statistics to support arguments, AI might overly rely on them without weaving them naturally into the narrative.

"Gay, the first Black president in Harvard's 388-year history, has defended the school's handling of protests and antisemitism claims. She called it "distressing to have doubt cast on my commitments to confronting hate and to upholding scholarly rigor."

Her six-month tenure was also marred by allegations of plagiarism in her academic work. Gay submitted corrections to some published works, in addition to her 1997 dissertation, amid claims that she had made citation errors. She admitted to making citation errors but denied claiming credit for others' work.

Wilmer is continuing to represent Harvard as part of the House committee's investigation, according to another source with knowledge of the work."

from "Harvard hires law firm King & Spalding amid US House probe by Mike Scarcella and David Thomas"

The data is used but... the discernment is clearly not done. Even in a formal presentation, there's always some anecdote or reaction to denote why the data matters, which... the AI cannot do, yet.

- Generic or Vague Statements

AI-generated content might include statements that are too broad or vague, lacking the depth and specificity a human might offer.

ex: "Cloud-based face recognition using machine learning involves using cloud computing resources to perform face recognition tasks. This technology involves training a machine learning algorithm on a large dataset of facial images to learn how to recognize different faces. Once trained, the algorithm can be deployed on the cloud to perform face recognition in real-time. This approach offers several benefits, including scalability, reduced costs, and improved accuracy. Cloud-based face recognition can be used in various applications, including security systems, attendance tracking, and customer identification. By leveraging cloud computing resources and machine learning algorithms, this technology offers a powerful and efficient solution for face recognition tasks."

from a conversation with "ChatGPT"

This is an information review I asked for face recognition using cloud technology... and yeah, this is filled with information without actual anecdotes or real depth to it.

■ Practical Steps to Identify AI Content

- Read Aloud

Example: "When you read it out loud, you might notice it sounds a bit off or doesn't flow naturally."

- Check for Emotional Range

Example: "AI might sound very neutral or overly emotional without the right balance. Humor can often feel forced or fall flat."

- Use of MULTIPLE Detection Tools [atleast 5-7 before conclusion]

Example: "There are tools online that can help detect if something was written by AI. These can be handy if you're unsure."

AND THAT'S IT! You've successfully mastered how to distinguish between human and AI generated content.

Remember, practice is the key to success. You'll need to read enough comparisons before realizing how to do it quickly. In the meanwhile, please don't jump to conclusions too soon and respect the authors who put effort into their work.

I plan on posting some side-by-side comparison activities later in the chapters, hope you like it!

Sara.