Generative artificial intelligence, or AI, has drastically changed the digital landscape in the areas of digital content creation. It is now incredibly simple to produce impressive content such as blog posts, marketing pieces, and even whole books with a few clicks of a button. This gives content creators an unfair advantage in producing content in the digital race to grab attention.
Cutting-edge AI tool writing solutions such as ChatGPT can save time and simplify content creation processes, but they still have some considerable downsides that businesses and content creators need to consider.
While AI can generate text, images, and analytics, they are not a universal solution that automatically delivers flawless results. They are merely tools that operate based on trained data and given instructions.
Risks exist in using AI. In this article, we will explain the AI-generated risks that bloggers face and how to resolve such issues.
1. Misleading Information
Advanced AI is capable of producing impressive work. However, they cannot verify data in real-time, which means that generative AI models can produce misleading information such as incorrect statistics and outdated and unverifiable data.
If these inaccuracies are not dealt with, they could potentially harm a brand’s credibility as well as do some severe damage. This could lead to a publicity crisis, which will not end well for the brand.
To avoid this issue, ensure that AI-generated content is double-checked against credible databases. Consider AI-generated text as rough work that needs proofreading. It is best to avoid using AI for technical and sensitive subjects that need more attention to detail.
2. Fabricated Data
Generative AI works off monumental datasets. Drawing from databases, their work is largely based on predicting probabilities. Should some relevant data be absent from the training material or just plain wrong, AI has no problem inventing fictitious fillers to resolve the issue, delivering nonsense with confidence. A term is even given to such fabricated data: hallucination.
AI hallucinations are a significant challenge in the field of artificial intelligence, particularly with large language models (LLMs) and generative AI systems. These hallucinations occur when AI models produce outputs that are factually incorrect or nonsensical, yet presented as if they were true. These hallucinations can lead to misinformation, incorrect decision-making, and potential security risks.
Thus, it is dangerous to rely 100% on AI-generated content; human oversight and alterations are required.
3. Failing to Achieve Originality
AI-driven content creation sources information from uploaded data to generate content, which means the output almost always suffers from originality. This makes the AI content generated lose its spark and engagement, making it bland and repetitive.
While AI can assist in generating content, inputs from an actual person can add depth and insights to the content piece.
Adding real-life examples or citing case studies along with personal narratives can help in creating original content.
4. Brand Voice and Authenticity
Every brand is distinct, and they have a specific way of communicating, whether through their choice of words or tone.
Content generated through the use of AI lacks the essence of such distinction. Such content can appear mechanical, posing challenges to the brand’s identity and failing to cut through the noise.
Brands typically try to reach out to people’s emotions through storytelling or even lighthearted jokes.
5. SEO and Ranking Issues
Google, as with other search engines, emphasizes user-friendly searchable content.
Keywords are the foundation of a search engine optimization (SEO) strategy. They are necessary if you wish for your blog article to be picked up by search engines.
AI has no clue about strategic keywords, and your blog post will never see organic traffic if relevant keywords are not included. Once again, human involvement is thus necessary.
Proper on-page SEO needs to be done for blog posts to be ranked. AI content simply being regurgitated and used will not cut it. Make sure that the content from AI is blended with human interventions to ensure the right keywords are incorporated.
6. Moral and Prejudice Issues
AI models are reliant on vast amounts of accessible data online. Some of these data have biases, which when reproduced by AI can be harmful. AI’s outputs might marginalize certain demographics or portray skewed depictions. This will create negative sentiments towards your post and eventually your brand if they exist in your blog writeup.
Always make sure to verify the AI content for biases and that the article is inclusive and ethical. There should be a balance between AI enablement and human control for unbiased and ethical content.
7. Legal and Copyright Risks
Lastly, with with AI content creation, copyright infringement are becoming common issues. For example, AI could write text for which ownership is already claimed and labeled, thus producing IP issues.
In some areas, content generated by an AI cannot be copyrighted, implying that there is no ownership of the created content. Exploration of ownership in such cases remains a gray area.
Always, before publishing any content, run AI-generated content through a plagiarism checker and edit it to make sure the content is uniquely yours. As a business owner or content creator, it is important to keep tabs on everything regarding AI copyright policies. Reach out to professionals when needed.
Final Remark
While generative AI empowers us with powerful tools to produce content, it does come with several caveats. Issues such as misinformation, ethics, brand voice, SEO, and plagiarism should always be moderated by humans.
To make the most of AI technology without exposing yourself to potential threats, use AI as a content assistant, creating a draft rather than a final version. Optimize and validate the content produced with the help of AI. Retain human involvement for content authenticity. Remember legal and ethical boundaries.
Fusing AI language models with human intelligence and oversight allows businesses to produce better, more authentic blogs that connect with their audience. What are your thoughts? Do you work with AI in content marketing for business growth? Join the discussion in the comment section below.