Our Writing Development
(We = Non-Native English Bilingual)
What is the history of English text editing?
First, there was a thick 5km dictionary and a bylinable proofreading time from a linguist friend. Then there was an online search engine with copy pasting and search capabilities. After that, an online dictionary and a thesori came to minimize the need to get up from the chair while we were writing. At one point, text editors also introduced spell checkers that actually made wise suggestions, but other external suggestions also appeared. A kind of “smart” app.
And… generative AI has taken over the world.
All editing and proofreading roles have been announced to be extinct.
We have become a free, independent, top tier content editor.
And now, this is just a cosmetic product, so everything is going well. But what happens when you talk about the history of content creation in moments of inspiration, time, and confidence?
That might be: As a first boost, we might have had a teacher who could speak or a person who could tweak us in the right direction. There may have been a class geek who was kind enough to write a piece of paper for us, for a “more thorough contribution.” Or perhaps our older siblings, or (not at the time) aspiring parents. Research – For some people it’s too tired. Knowledge Wells for Others: Library. And the internet has opened the door to countless possibilities for finding inspiration. But we still had to dig deeper. It took some time.
And… generative AI has taken over the world.
Suddenly, we can reach productivity unparalleled with any of the early historical stages of our time.
Can this tool and maximizing productivity make you call a top tier content creator?
The risks of using AI to create content
Perhaps they used AI long before hype was cultivated around AI generated. Perhaps you are using an audio/video streaming service, a social network, or an online purchasing platform. At least I have it. And the question of whether or not to use AI and how to use it is, like all new ones, a typical Plato Cave question. Stay in the cave and blind the catharsis (and danger) or leave the cave and experience enlightenment.
More or less, the general sentiment is that we need to educate ourselves on how to use AI forever, for improvement, and use it to minimize potentially negative effects. It’s wise, but you need to recognize the difference between generating AI and normal weak AI.
Weak AI is thought to be safe, but reaching for generative AI is attractive and bold. I totally agree that it helps and saves time. In this context, it is an upgraded search engine, text editor, assistant, and can undoubtedly detect many positive results, even for businesses.
But at this point, this is where I draw the line. From the perspective of content creation using Genai, we should then ask, as e-learning content creators who make a living:
My biggest concern is, if I let genai create for me, how authentic is the content? Does it respect others’ work and authors? How do I know that the content displayed is legal? Ultimately, what sources do you see on the screen?
I’ll answer these in the upcoming section.
Generation AI, plagiarism, e-learning
Generation AI is trained with existing materials and I think it has only a certain level of ability to generate content. The main doubt is whether this content is authentic. These models are said to be pre-trained, so what they have in their raw training materials should or may be reflected in their answers. So we have witnessed a lot of bias in some interpretations by genai.
I can’t even say how much respected other people’s work is. The problem is that I have always been taught to respect the work of others, even if it was used as the basis for inspiration in my writing. Anti-Plagiarism policies and practices in line with copyright laws are nurtured worldwide, and their importance has been raised to a regulatory level. In other words, they are not just for cosmetics.
Anti-Plagiarism and Copyright: What does the world say?
At a global level, the world should not tolerate plagiarism and unites around the idea that copyright protection is “important for intellectual creation.”
The strength of regulations in each region can be examined in more detail. But even the blogging community strongly agrees that in some way work should be credited to authors who contributed to our creation. There is no official research to support this, but – of course, one idea is here!
Considering all of this, we can give you two perspectives.
Using genai text in our work requires transparent communication as there is no reason why we should not mention it as a source. Well, I see it: if we used it throughout the piece, this is tricky. On the other hand, if we don’t mention even in these cases, are we plagiarists? Using genai texts in our work should not be done as we are new to the source of our information in the first place. It may seem radical, but that’s what it is. Return to eLearning and Gunai
I never forget that this is all written from the perspective of eLearning Creators at eLearning Agency. As you may have concluded, the principle of avoiding AI-generated content also applies here. At the very least, the working assumption is: If you sell authors for a living, it is unethical to smuggle Genai’s work as our own.
Genai works as a dictionary or language editor, and is fine. So are similar tools that specialize in this.
However, this may be one of the next questions. What if you used it to set up some general processes, concepts, study plan suggestions, or other similar frameworks filled with “meat”.
I’m afraid of the day when clients get the same solution from all agents. Every time I think about using genai for the mentioned purpose, this idea spreads implicitly into my mind and runs out of my desire to use it.
I would like to add a note to all of this. In fact, it is an insight provided by Julie Darksen in her blog post, “The Troubled Challenge of Evaluating AI Output.” I think it’s really interesting and worth pondering: if it’s output from genai, or when is it capable of determining its effectiveness? Even at a weaker level, grammar modifications are often invalid because the machine cannot read and understand it because the context is wider. As a result, this tool is only useful if you can scrutinise it yourself.
AI Tools for eLearning Development
However, AI is not as black as paint. As the eLearning Production team, like their clients, still enjoys some of the benefits of AI tools, so here are a few examples:
Text Editor – I wish I had always been a good editor and there was a better Croatian language. If your writing is a grammatical disaster, will your client trust you? We don’t. AI Voice Generative Tools – Over time, they become very realistic and represent budget-friendly options for less demanding scripts. AI Video Avatar Generator – I believe they will soon become realistic too. Dubbing and Translation – An immeasurable timesaver. Nonetheless, translations must provide a high level of scrutiny. In many cases, you may miss contextual, cynical, and culturally related jokes in your translation.
We acknowledge that we may be more open to genai, but as long as the author is our livelihood, the most ethical approach is to avoid suspicious sources. You should strive to avoid plagiarism and to fully respect copyright. This principle is fostered globally, and authors need to gain clear credibility in their work.
In the realm of e-learning content creation, storytelling and creativity are still highly respected and encouraged, and it is still reassuring whether pure innovation can come from outside the human mind.
What should chat GPT say?
For fun, I asked ChatGpt based on the GPT-4 architecture to finish the article stylishly. What about e-learning? ”
This states that “potential risks include quality control issues, the accuracy of AI-generated content, ethical concerns about learning goals and data privacy and bias, and human creativity in educational content. Ensures that it is consistent with the potential loss of empathy.” (This question and answer was provided on July 19, 2024.)
A little later, Claude.ai gave me this output (February 4, 2025). Tones can generate biased content or the important educational nuances needed for effective learning.
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Ewyse is an award-winning agency and uses a unique methodology called the 3C Framework to provide the perfect e-learning course that will attract, entertain and educate learners while helping businesses achieve their goals. I’m helping to build it. Discuss your ideas!
