Can AI Write an Article? The Future of Fact-Checking and AI Collaboration

Unraveling the Role of AI and Human Interaction in Crafting Accurate, Fact-Checked Content

As artificial intelligence (AI) evolves, its potential applications expand into fields such as journalism and content creation. This article explores the relationship between AI and human collaboration, current AI limitations, and the future roles of humans and AI in fact-checking.

The Human-AI Synergy in Fact-Checking

AI, like ChatGPT-4, can write articles, but the quality depends on user instructions and other factors. Currently, AI is most effective as a powerful tool that assists humans in the writing process, providing suggestions, automating tasks, and generating content. Improving AI’s capabilities is an ongoing process, involving regular data updates, customized training, and fostering a critical mindset.

Addressing AI Sticking Points

One of the primary sticking points with current AI systems is the limitations in their training data. For instance, ChatGPT-4’s knowledge is only up-to-date until September 2021. As a result, it might not be aware of the latest developments or facts, which could hinder its ability to write accurate and current fact-checking articles.

Another limitation is the AI’s dependence on user input for summarizing information. For AI to function optimally, it requires the user to provide concise and accurate information, which can be a challenging task. If the user input is inaccurate or ambiguous, the AI-generated content might not be reliable.

An additional concern with AI-generated content is the potential for bias. Since AI systems are trained on large datasets containing human-generated text, they may inadvertently learn and perpetuate the biases present in their training data. This could impact the objectivity and accuracy of the AI-generated content in the fact-checking process.

The Future: Overcoming AI Sticking Points, Human Roles, and Ethical Considerations

As AI continues to advance, it’s likely that many of the current limitations will be addressed. Improved training data and faster update cycles could allow AI to generate more accurate and up-to-date content independently. Moreover, future AI might be better at interpreting ambiguous instructions and summarizing information without human intervention.

However, even with these advancements, the human element is unlikely to become obsolete. Human involvement will continue to play a significant role in the content creation process. The role of humans might shift from active writing and research to curating directions, providing prompts, or supervising the AI’s work.

In the world of fact-checking, human intuition, judgment, and ethical considerations remain vital aspects that are difficult to replicate with AI. Consequently, the most promising approach for the future would involve humans and AI working together, leveraging their unique strengths to create high-quality, accurate, and fact-checked content.

How Humans and AI Can Work Together to Find Truth

Here is a list of ways in which a fact-checker AI and a human can work together to uncover truths and fact-check various types of content:

  1. Collaborative research: The human provides research topics or questions, and the AI generates relevant information, sources, and references from its vast knowledge base. The human can then verify and cross-check this information to ensure its accuracy and reliability.
  2. Fact verification: The human flags specific statements or claims for verification, and the AI conducts a thorough analysis of its knowledge base to confirm or refute these claims. The AI can provide evidence, sources, or additional context to support its findings.
  3. Hypothesis generation and testing: The human and AI can work together to generate hypotheses on fundamental truths, mathematical concepts, or theories. The AI can provide alternative perspectives, possible explanations, or counterarguments that the human might not have considered, while the human can apply critical thinking and intuition to assess the validity of these hypotheses.
  4. Real-time analysis: During live events, such as debates or interviews, the human can provide contextual knowledge and understanding, while the AI can quickly verify statements or facts, offering instant feedback and helping to prevent the spread of misinformation.
  5. Argument structuring: The AI can help the human construct logical and coherent arguments by suggesting improvements in structure, clarity, and coherence. The human can apply their judgment and intuition to assess the persuasiveness and validity of the argument.
  6. Identifying potential biases: The human can evaluate AI-generated content for possible biases or inaccuracies, while the AI can help identify and mitigate these biases by providing alternative perspectives or additional information.
  7. Drafting and editing: The AI can assist in drafting fact-checked content by providing suggestions, generating relevant sections or paragraphs, and improving language and clarity. The human can refine the content further, ensuring accuracy, readability, and relevance.
  8. Expanding the knowledge base: The human can identify gaps in the AI’s knowledge and provide new data or sources for the AI to learn from, ensuring the AI’s knowledge base remains up-to-date and comprehensive.
  9. Mathematical proofs and problem-solving: The AI can aid the human in solving complex mathematical problems, providing potential solutions or proofs based on its knowledge of existing theorems and mathematical techniques. The human can apply their expertise to assess the validity and rigor of the AI’s solutions.
  10. Ethical considerations: The human can evaluate the ethical implications of AI-generated content, addressing any concerns or potential issues that may arise. The AI can assist by providing relevant ethical frameworks or guidelines for the human to consider.

By combining the unique strengths and capabilities of both AI and humans, this collaborative approach enables a more effective and comprehensive fact-checking process, helping to uncover truths and maintain accuracy in various fields.

Examples Using ChatGPT-4

Here are some examples of a human and AI working together.

Fact-Checking Concepts that are Still Just Philosophical


“Nikola Tesla was said to have said “everything is light.” That is potentially correct, after all, the energy of a system is equivalent (but not exactly the same) as the mass of a system, and we are hard-pressed to find anything in the universe not explained by mass-energy (either directly or as an effect of it or in relation to it.) Likewise, the standard model can largely be explained in terms of photons, and photons, like electromagnetic energy, like light, are all just different names for the same thing. Further, “grand unification” theory (the idea that strong, weak, and electromagnetic force existed as one at some point) and other theories and phenomena (like the Higgs boson, quantum field theory, and quantum electrodynamics) understood correctly all strongly point to a single idea, which can be expressed in laymen’s terms as “everything is the light” (where to be clear “light” is electromagnetic radiation within a certain portion of the electromagnetic spectrum; thus “light,” photons, electromagnetic energy, vibrations in the electromagnetic field, etc all fundamentally the same thing and all fundamentally equivalent to, although not exactly the same as, mass.)”.


Section: Human-AI Collaboration in Fact-Checking: The “Everything is Light” Concept

When a human philosopher and an AI work together to fact-check a concept, they can combine their unique strengths to provide a more accurate and well-rounded analysis. In the example provided, the human philosopher asserts that “everything is light,” basing their argument on various scientific concepts and theories.

The human philosopher can begin by outlining their argument and presenting the key points to the AI. In this case, they mention mass-energy equivalence, the standard model, grand unification theory, Higgs boson, quantum field theory, and quantum electrodynamics.

To collaborate effectively, the AI can then:

  1. Verify the accuracy of the philosopher’s understanding and representation of each scientific concept or theory.
  2. Research and present additional supporting evidence or counter-arguments from the realms of physics and philosophy.
  3. Suggest refinements to the argument for greater clarity, coherence, and impact.
  4. Provide supplementary proofs or insights to strengthen the argument or address potential counter-arguments.

Here’s an example of what the AI might say in response:

“Your argument that ‘everything is light’ is intriguing and presents a compelling perspective on the interconnectedness of various scientific concepts. However, I would like to offer some suggestions for clarification and improvement:

  1. Mass-energy equivalence, as described by Einstein’s famous equation E=mc², indeed shows that mass and energy are interchangeable. However, it doesn’t directly imply that everything is fundamentally ‘light.’ Instead, it shows that mass can be converted into energy and vice versa.
  2. While the standard model of particle physics does rely heavily on the concept of photons, it also includes other fundamental particles, such as quarks and leptons. It would be helpful to mention how these particles fit into your argument.
  3. The grand unification theory is an ongoing area of research, and although it may point to a single force governing the universe, it does not necessarily equate to everything being ‘light.’ You may want to emphasize the speculative nature of this idea.
  4. Quantum field theory and quantum electrodynamics provide insights into the behavior of particles and fields, but they don’t explicitly confirm that ‘everything is light.’ You could discuss their implications for the argument in more detail.

By addressing these points, you can present a more comprehensive and balanced analysis of the ‘everything is light’ concept. Additionally, I would suggest exploring the philosophical perspectives on this idea, such as metaphysical and ontological debates, to provide a richer context for your argument.”

In summary, the human-AI collaboration process involves the human presenting their argument and the AI fact-checking, refining, and enhancing the discussion by verifying, researching, and offering suggestions. This synergy allows for a more accurate and well-rounded exploration of the concept in question.

Fact-Checking Scientific Facts


Claim: The sky is blue Truth: the sky is not blue. AI can you please tell me why the sky is not blue?


Certainly! The perception that the sky is blue stems from a phenomenon called Rayleigh scattering. In reality, the sky is not inherently blue, but rather appears so due to the way sunlight interacts with the Earth’s atmosphere.

Sunlight contains a range of colors within its spectrum, each associated with a specific wavelength. When sunlight passes through the Earth’s atmosphere, molecules and particles in the air scatter the shorter wavelengths of light more efficiently, particularly the blue and violet colors. Since blue wavelengths are scattered more than others, our eyes perceive the sky as predominantly blue.

However, it’s important to note that the color of the sky can change depending on factors such as the time of day, atmospheric conditions, and the presence of particles in the air. For example, during sunrise and sunset, the sky may appear red or orange due to a phenomenon known as Mie scattering. This occurs when the sun is lower in the sky, causing its light to travel through a thicker layer of the atmosphere, scattering longer wavelengths of light, like reds and oranges.

In summary, while the sky appears blue under normal conditions, it’s not inherently blue. The perceived color results from the scattering of sunlight by molecules and particles in the Earth’s atmosphere, which can vary depending on multiple factors.

Fact-Checking Current Cultural Truths


Fact-check: Beyoncé was nominated for a Grammy in 2023 for her song Break My Soul.


I’m unable to verify whether Beyoncé was nominated for a Grammy in 2023 for her song “Break My Soul,” as my knowledge is limited to information available up until September 2021. To determine the truth, I would recommend checking reputable sources or the official Grammy Awards website for the list of nominees in 2023.

ME: *Copy and pastes Grammy nominees*


Thank you for providing the information. Based on the data you’ve shared, Beyoncé was indeed nominated for a Grammy in 2023 for her song “Break My Soul” in the Record of the Year category. The song’s producers were Beyoncé, Terius “The-Dream” Gesteelde-Diamant, Jens Christian Isaksen, and Christopher “Tricky” Stewart. The engineers/mixers were Brandon Harding, Chris McLaughlin, and Stuart White, and the mastering engineer was Colin Leonard.

Real-Time Fact-Checking and AI

Another potential application of AI in fact-checking is real-time analysis during live events, such as political debates or interviews. AI could potentially be used to quickly verify statements and facts, providing instant feedback to viewers and helping to prevent the spread of misinformation.

For example, AI could be utilized to:

  1. Monitor live video feeds and transcribe spoken words.
  2. Identify and flag potentially false or misleading claims.
  3. Search a vast database of verified information to confirm or refute the claim.
  4. Provide real-time annotations, overlays, or corrections to viewers during the broadcast.

While this application is still in its early stages, it could be a valuable tool in the fight against misinformation, providing a new level of transparency and accuracy in live events.


AI’s role in writing fact-checking articles depends on the evolving relationship between AI and humans. Although AI-generated content has limitations, human intervention ensures accuracy and reliability. As technology advances, collaboration remains crucial in maintaining the integrity of fact-checking efforts. By enhancing AI capabilities, updating training data, and nurturing a critical and inquisitive mindset, we can create a future where AI and humans join forces to produce accurate, insightful, and fact-checked content.

Author: Thomas DeMichele

Thomas DeMichele is the content creator behind,,, and other and Massive Dog properties. He also contributes to MakerDAO and other cryptocurrency-based projects. Tom's focus in all...

Leave a comment

We'll never share your email with anyone else.