Unspoken Risks Of AI Content Writing

Unspoken Risks Of AI Content Writing

When discussing the dangers of artificial intelligence, it’s typical to imagine scenes from science fiction movies like “A Space Odyssey” or “The Terminator,” in which robots fight humans. Yet unlike the dramatic dystopias seen on TV, reality presents a more nuanced image. These risks often take on subtler forms that go unnoticed until it’s too late.

AI-assisted writing has become more prevalent recently as a way to speed up article development. Strangely, there isn’t much discussion of the risks that come with this invention. The intricacy of these concerns has only increased as a result of the commercialization of AI text production by businesses like Open AI.

AI clearly provides amazing opportunities for content marketing, but it also carries risks. As with any ground-breaking technology, different reactions take shape: the enthusiastic early adopters ignore any potential drawbacks, while the risk-averse laggards fiercely oppose it out of concern for the potential disruption it might cause.

I think a midway ground is where the best strategy should be taken.

Smart company leaders are aware that embracing transformational technologies entails overcoming difficulties. It involves a mental change from being afraid of these hazards to actively managing them.

To handle these risks successfully, you must first have a thorough grasp of them. Let’s investigate the potential drawbacks of utilizing AI for content development.

What is AI content writing?

Artificial intelligence (AI) content creation makes use of AI techniques, especially natural language generation (NLG), a subset of AI. NLG facilitates the creation of human-like text from supplied data, such as English.

8 Unwanted risks of using AI for content generation

1. The risk of making irresponsible claims:

In regulated industries, making assertions without supporting data can result in severe fines and penalties. Consider this: if a product makes the claim that it can cure cancer but doesn’t deliver, there may be legal repercussions and significant fines.

Consider the well-known Dannon brand Activia yogurt as an illustration. They claimed that their product had been “clinically” and “scientifically” proven to improve digestion and support the immune system, but there was insufficient proof to back up their claims, which led to a $45 million fine in 2010 (Source).

In a 2011 settlement, New Balance was also found to be responsible for $2.3 million. They faced accusations of misleading advertising since their claim that their shoes helped burn calories lacked scientific support (Source).

In these instances, claims were approved with human oversight. The hazards increase when employing AI for ad copy if you neglect the critical step of fact-checking. Use caution while checking and confirming the copy before publication if you use AI for ad material.

2. The risk of watered-down brand voice:

The distinctive voice that constantly engages your audience across all platforms, your brand’s identity is what makes your business unique.

However, there is a significant danger of diluting or losing that distinctive brand voice when relying on unfiltered AI-generated material.

Take a look at these two different messages that convey the same information: one is friendly and inviting, while the other strikes a formal, businesslike tone.

Casual Tone:

Hello there

We’re excited to share with you our brand-new meditation app, created to improve your mental health. Explore brief training videos, illuminating articles, guided meditations, and even connect with certified therapists—all easily available on the go.

Our rollout starts with our colleagues in the UK and the US before going worldwide. We are available to help if you have any questions.

Download the app right away to start your road to a happier, healthier you!

Sincere regards,
The App Group

Formal Tone:

Dear Colleagues,

We are thrilled to announce the release of our meditation app, which now provides facilitated sessions, succinct instructional videos, educational articles, and expert therapist consultations.

With a later global rollout, the initial release will serve our colleagues in the US and the UK. Please do not hesitate to contact us if you need help or have questions.

Download the app right away to start your journey to wellbeing.

Regards, The App Team

Even while many AI content generators have choices for tone tweaking, it is crucial to use caution and carefully analyze AI-generated material to make sure it matches your brand’s distinct voice and messaging.

3. The risk of unintentional plagiarism:

The possibility of plagiarism should be addressed as another important issue. 2,278 instances of plagiarism were found between 2016 and 2017, according to a report by The Guardian. These figures could increase as a result of the spread of AI content writing tools since many of them advertise as 100% original content sources. Companies who provide these technologies must be proactive in educating users about the hazards and ethical issues involved if they want to build a long-lasting business.

Unspoken Risks Of AI Content Writing

It is crucial to remember that depending on the individual AI model being used, the risk of plagiarism can change. Language models like GPT-3 and ChatGPT typically provide original content. There have been occasions where they unintentionally copy data straight off the internet, though.

Users must be aware of this risk and take steps to prevent it, even though rare instances of plagiarism might not make the tool completely useless.

4. Risk of brand reputation:

The intriguing idea of Moravec’s Paradox asserts that AI is superior at learning complex skills that are difficult for humans, including logic and arithmetic. On the other hand, AI finds it challenging to understand human traits like empathy and emotions because they don’t have a clear set of logical procedures for justification. Being elusive and abstract, emotions present a special teaching problem.

AI-generated content may frequently lack the sensitivity and contextual awareness necessary in many settings due to AI’s weak ability to understand empathy. Therefore, using AI technologies in circumstances that call for sophisticated empathy carries a lot of danger.

In his book “Heartificial Empathy,” Minter Dial explores the exciting idea of incorporating empathy into AI. Although this idea has promise for the future, it is still a challenging task. Empathy is a complex concept that even humans have not fully grasped, suggesting that developing it in AI is a long way off.

5. Risk of Google penalties:

Google has made it clear that once automated content has been found, the webspam team may take appropriate action. Although John Mueller, a Google spokesperson, did not specifically address Google’s ability to detect AI-generated material, it is clear that using AI to create SEO content will become an ongoing difficulty, especially in light of Google’s continual content upgrades.

Unspoken Risks Of AI Content Writing

6. Risk of factual errors:

Whether you use AI or not, fact-checking is still an essential component of any content workflow. But because one of the biggest dangers associated with AI-generated information is the potential for it to fake facts, harnessing AI is all the more important. Even the best language models, like GPT-3, are susceptible to mistakes, which can be sneakily incorporated into sentences that appear to be factual.

As an example, I asked an AI tool to create a biography of Abraham Lincoln, and the result was as follows:

“A farmer and carpenter, Abraham Lincoln’s father was born in Virginia in 1778. Nancy Hanks Lincoln, his mother, was of English and Scots-Irish ancestry. When Abraham was nine years old, she passed away.

Lincoln’s father wed Sarah Bush Johnston in 1816. Sarah was a widow with her own three children. She assisted her husband in raising Thomas Jr. and Abraham.

While some facts are consistent, false information is frequently ignored. In reality, Nancy Hanks Lincoln was an American when her parents wed in 1819.

  • In a similar vein, it claimed in a blog post produced by AI:
  • “By 2030, machines will hold 50% of all human knowledge.”

These data, however, were not supported by any reliable sources, raising questions about their veracity. Therefore, accuracy testing must always be vigilant, especially when using AI to create content.

7. Risk of bias:

The caliber of AI’s training data determines how effective it is. The AI model will acquire any biases present in the data. Although AI systems usually have safeguards in place, biases can creep in. For instance, the model will reflect any biases inherent in the training data, such as an underrepresentation of some groups. This emphasizes the need for human review before publishing anything produced by AI.

In this sense, Amazon is a cautionary tale. Their AI-powered recruitment tool was scrapped because of bias that machine learning experts discovered. The algorithm showed a bias in favor of male candidates, which was caused by the training data’s predominance of resumes written by men.

Amazon’s experience serves as an example of how AI bias might have negative effects on society. Therefore, it’s crucial to have bias prevention measures in place when using AI content generation tools to ensure accuracy and fairness.

8. Lack of original ideas:

AI can’t come up with fresh notions or ideas; it can only imitate patterns in training data, which could result in a lack of creativity if used primarily to create content.

You need the following for strong thought leadership content:

  • Analysis and Argument
  • Review of existing norms using new information
  • Individual experiences
  • Storytelling Viewpoints

At least in its current state, these factors continue to be difficult for AI. AI might not be the best option if your goal is to create thought-provoking content that challenges norms.

The future of AI-assisted content writing

When AI is used exclusively to create content, verbose yet shallow writing is frequently the output. However, AI can be a powerful ally for content marketers when combined with human knowledge. If you can master this synergy, you can create material that is genuinely unique.


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