How Will AI Affect the Content Creation Process?

How Will AI Affect the Content Creation Process?

Thoughts From the Viral AI Bot… 

While attending a panel titled boldly, “The Death of Social Platforms,” I heard an interesting take on AI’s effect on content creation. Instead of the usual, “tech will replace us” cries, one of the speakers claimed that tools like ChatGPT, Midjourney, and Dall-E 2 would raise the bar for “mediocre content.” This angle left me wondering, is AI really changing our appreciation for original content as well as the standard of content as a whole? 

I turned to the co-founder of Guruz, the community-owned network powered by blockchain and AI,Gal Mor, who gave me some great insights to consider. “AI tools can change the standard for content by setting higher standards for content creators and allowing them to focus on human creativity, something that AI tools cannot replicate.” Mor’s analysis described AI tools as enhancements to human-generated content creation and efficiency aids, not as replacements. “Whenever you send 10 bloggers to unbeaten tracks, and they return with great original stories and visuals, no AI can match that,” Mor explained.

If AI cannot yet produce the nuanced storytelling that human expression can offer, where does it stand in the world of content creation? I decided to go straight to the source and ask Open AI’s bot what it thinks about the topic, and about the future of content creation for publishers and creators.

Here are the highlights from our conversation:

OP: I'm writing an article about how AI tools will affect the creation of content for publishers and creators on social platforms. It's intended for a business audience, mostly in the publishing industry and the ad-tech space.

ChatGPT: AI tools have the potential to greatly impact the way content is created. Some specific ways in which AI is currently being used or could be used in the future include:

  1. Content generation: AI-powered tools can be used to automatically generate written articles, video scripts, and even entire videos. These tools use natural language processing (NLP) and machine learning (ML) algorithms to understand the style and tone of a particular publication or creator and generate new content that is similar in nature.

  2. Content curation: AI can also be used to sort through vast amounts of content and select the most relevant pieces for a particular audience. This can help publishers and creators save time by identifying the content that is likely to be the most engaging or successful.

  3. Content optimization: AI can be used to analyze data on how users interact with a particular piece of content, such as how long they spend reading an article or watching a video. This information can then be used to optimize future content for better engagement, retention, and conversion.

  4. Video editing and production: AI-powered tools can help with video editing and production tasks such as object tracking, video stabilization, and background replacement. With these tools, video creators can edit and produce content more efficiently, resulting in higher-quality outputs.

Overall, AI tools have the potential to streamline the content creation process and help publishers and creators produce higher-quality content more quickly and efficiently. However, it's worth noting that AI writing and video generation are still in the development stages and not yet as polished as a human's. And it's important that the industry have a healthy dose of skepticism as well as hope.



OP: Some people claim these tools will raise the bar for mediocre content while making original content more appreciated and coveted. Do you agree? 

ChatGPT: It's possible that AI-generated content could raise the bar for mediocre content by making it easier to produce high-quality, well-written, or produced pieces. As AI-generated content becomes more common, audiences may come to expect a certain level of quality from publishers and creators, which could make it more difficult for low-quality content to gain traction. Additionally, since AI-generated content could be less costly to produce than human-generated content, publishers and creators may be able to produce more content overall. However, it's worth noting that the quality of AI-generated content could vary widely depending on the specific algorithms and data sets that are used to generate it.

On the other hand, it's also possible that the widespread use of AI-generated content could make it more difficult for original, human-generated content to stand out. Audiences may become so accustomed to the "perfection" of AI-generated content that they may have a hard time distinguishing it from human-generated content, and original, creative content may be less valued as a result.

However, it's worth noting that AI-generated content can be used as a way to augment human-generated content, it can help to save time and resources, it can even be used as an inspiration source to generate new ideas, but it's not meant to replace the human touch on content creation. Additionally, human creativity and individuality should still be valued and original content can be more unique, heartfelt, and trustworthy. Therefore, It's important for publishers and content creators to be transparent about the use of AI-generated content and to use it in ways that complement rather than replace human effort and creativity.

OP: What ethical issues could arise due to the growing use of AI tools for content creation?

ChatGPT: There are several ethical issues that could arise.

Transparency: It's important for publishers and creators to be transparent about the use of AI-generated content, so that audiences understand the nature of the content they are consuming. Failing to disclose the use of AI-generated content could lead to audiences being deceived or misled, which would be unethical.

Bias: AI-generated content is only as unbiased as the data sets it is trained on. If the data used to train an AI model contains biases, the resulting content may also contain biases. This can be particularly problematic for sensitive topics such as race, gender, and politics, where bias can lead to harm and marginalization.

Labor and job displacement: AI-generated content has the potential to automate many tasks currently performed by human content creators, which could lead to job losses. Publishers need to consider the ethical implications of replacing human workers with AI tools and ensure they are being used in a way that complements rather than replacements for human effort and creativity.

Privacy: AI-generated content could be used for targeted advertising and personalization, which raises concerns about privacy and data protection. It's important for publishers and creators to be mindful of the data they collect, how it is stored and used, and ensure they are following the law and protecting users' rights.

OP: I want to focus on biases from a more general point of view. If content creation by AI is widespread, wouldn't that limit the data sets AI tools can rely on? Will it create a cycle, a closed garden of AI-created content used to create more AI content? 

ChatGPT: This can lead to a situation where AI models are only trained on a narrow range of data, and the resulting content is less diverse and less creative.

A closed garden of AI-generated content can also perpetuate existing biases present in the training data, instead of challenging or breaking them, which could be harmful to society and to certain groups of people. 

The industry should foster an environment that encourages, rewards, and remunerates creativity and originality to ensure the human touch on the content will be maintained and creativity will be a key trait in the future of online content.