AI Generates Article with ‘Serious’ YMYL Content Issues
The emergence of artificial intelligence (AI) as a content creator has revolutionized the way businesses and organizations create and distribute content. Artificial intelligence has been utilized to quickly generate articles, research papers, and more that are high in quality, often indistinguishable from human-written work.
However, with the rise of AI content generation, concerns arise that certain kinds of content, such as content related to Your Money or Your Life (YMYL) topics, may fall through the cracks in quality control and create ‘serious’ YMYL content issues.
What is YMYL Content?
YMYL content is generally defined as any type of content related to financial, legal, or health information which could potentially influence somebody’s future actions or decisions. Examples of frequently discussed YMYL topics include:
• Investment advice
• Taxation laws
• Medical advice
• Education loan policies
Due to the potential for YMYL content to have serious effects on a person’s life, Google is placing more emphasis on this content’s quality. Quality standards for YMYL content include accuracy and objectivity, as well as proper references, citations, and sources.
Issues with AI-Generated YMYL Content
Because artificial intelligence is only capable of producing content that is ‘programmed’, AI-generated YMYL content poses a number of potential issues.
• Accuracy – AI-generated YMYL content can be rife with inaccuracies due to the algorithm’s inability to fully comprehend the nuances of a particular topic or issue.
• Objectivity – AI-generated content runs the risk of being overly biased or one-sided. AI algorithms are only capable of producing content based on the data they are given, and therefore can lead to content that is overly skewed to one side of an issue.
• Legality – Due to the complexity of certain laws and regulations related to certain YMYL topics, AI-generated content has the potential to be in violation of certain laws or regulations, leading to potential legal issues.
• Source Credibility – In general, AI-generated content will not include any sources that lend further credibility to the article. This can be problematic when an article is discussing a particularly complex YMYL-related topic, as references and citations to academic studies or other reliable sources can help to further enhance the accuracy of the information presented.
• Quality Control – Due to the lack of human oversight, AI-generated content can slip through the cracks in quality control, leading to content with serious YMYL issues.
How to Minimize YMYL Issues with AI-Generated Content
Though AI-generated content can potentially lead to serious YMYL issues, there are certain steps organizations and businesses can take to minimize these issues.
• Fact–Checking – Organizations or businesses should fact-check AI-generated content before it is published to ensure its accuracy and objectivity.
• Quality Assurance – Quality assurance protocols should be established for any AI-generated content, such as a review process for any content that is generated.
• Citing Sources – If the AI-generated content is discussing a complex YMYL topic, sources should be included to lend credibility to the article and solidify the accuracy of the information being presented.
• Human Oversight – Humans should still be involved in the content creation process, ensuring that quality standards are met and that any content that is generated is of the highest quality.
Conclusion
The emergence of artificial intelligence as a content creator has revolutionized the way businesses and organizations create content quickly. Though this technology can be beneficial, organizations and businesses should be aware of the potential YMYL issues that can arise with AI-generated content. By following certain steps such as fact-checking, quality assurance, and human oversight, organizations and businesses can minimize the chances of these issues arising and ensure that the content they are providing is of the highest quality.
