In part one of this two-part series, we discussed five predictions on how generative AI was going to make an impact in 2023. We looked at how AI content would be used, jobs that might be lost and created, and examined how AI-generated music would be perceived.
We have a few more insights on how generative AI is going to change the status quo this year. Keep reading to find out our final five predictions for generative AI in 2023.
6. Your digital rights will depend on being part of the trained dataset
In the same way that Google indexes websites in order to display them in its search, websites and businesses that want to continue ranking on SERPs will need to agree to be added to generative AI training datasets. AI works by training machines with data, whether that’s images, text, or audio that comes from existing sources. To continue training these AI tools so that they remain relevant, there needs to be a constant flow of new information.
Digital rights were heavily discussed with the Lensa AI trend where users uploaded photos and the generative AI app produced avatars in their likeness. The criticism against Lensa was that its AI was trained on works of artists who didn’t provide rights to their work. These types of rights will need to be further clarified, but the current trends point to the fact that most governing bodies want to further AI development, with the EU already presenting legislation to allow text and data mining exceptions for machine learning purposes.
7. Human – AI alliances will enable us to exceed expectations
AI enables us to optimize manual tasks so that they’re taken care of a lot quicker, allowing us to focus on the work that matters. Previously, what was only achievable by a team can be done by one person using generative AI tools. This increased use of AI to produce work in a shorter period of time will lead to a growing alliance between humans and machines.
With AI, individuals will be able to outperform expectations and accomplish tasks with greater accuracy and fewer resources. In 2023, we will see individuals take on more tasks than before with the presumption that they will work with generative AI tools on projects to deliver a cohesive product.
8. Authentication will be necessary to distinguish humans from AI
In order for AI to be more accepted globally for everyday use and attain widespread commercialization, it needs to be distinguishable from human-produced content. This type of authentication already exists, but it will need to be expanded to AI tools in the coming years.
Currently, authentication is used on social networks to differentiate real users from fake bot accounts. In order to combat the issue of spammy bots, some social channels have implemented human authentication processes, such as taking a photo of your face or your ID to prove you’re who you say you are. In the near future, we’ll see AI-generated content take on a similar approach so that it can be set apart from the content that humans create.
9. Video will be where generative AI mediums converge
It’s hard to imagine where else different types of generative AI might converge better than in videos. With AI video creation tools that can generate anything from scripts to voiceovers and even avatars that look and sound like real people, video is a prime medium for AI-generated content.
Video content is more in demand than any other type of content, with 54% of audiences saying that they’d prefer to see videos above all else from brands they’re interested in. As such, marketers are always trying to find new ways to create more video content with fewer resources. AI-generated videos is one of the most affordable solutions to the challenge of this increasing demand.
10. Creating content will be a conversational process
While some AI tools, like Dall-E, prefer detailed prompts to produce an image, others rely on conversation to deliver the end product. ChatGPT has gained a lot of popularity recently, and for good reason. As a chatbot that can have human-like conversation and respond to virtually any request, it has started to get tech giants like Google to worry. When a user has a query, typing it into ChatGPT provides an immediate answer rather than a list of links like Google does.
In the future, we’re likely to see more AI tools with this conversational format. Conversational AI mimics natural language, making it a lot more accessible and user-friendly for people who are searching for quick and immediate answers. Of course, the technology is not yet perfect, but as it continues to evolve in 2023 and beyond, we can expect to see the emergence of newer, stronger AI chat tools, with a rumored GPT-4 model in the works to outshine the current GPT-3 that ChatGPT is based on.
Where will generative AI take us?
While we remain confident in our generative AI predictions, time will be the only deciding factor of what AI trends stick. What’s for certain, however, is that generative AI is a technology that will continue to reach new heights and help businesses attain their goals with a reduced reliance on additional resources.
For Hour One, we’re excited to see how AI-generated videos progresses in 2023. We expect that current AI-generated audio, imagery, and avatars will become more fine-tuned so that the distinction between human and AI-generated videos will eventually be seamless. If you haven’t yet tried our AI video generating tool, you can try Hour One’s AI video generator for free to see how it can help you deliver your video projects quickly, easily, and affordably.