Will AI-Generated Content Rule The World? (Roundtable Interview)

Will AI-Generated Content Rule The World? (Roundtable Interview)

The (rapid) emergence of AI models has created a gap between human-generated content and new rivals: AI-generated content and deepfakes. While we have become fascinated with the (futuristic) depictions AI LLMs have given humanity, concerns over originality have emerged.

Human-generated content (has) served as a basis for training the LLMs. Now, the content generated by these models has proven to appear realistic, creating a divide between the two despite seeming similarities.

On the lower end of the scale, anyone with a few prompts can (now) create content and deepfakes. However, on the higher end of things, originality provides a connection people relate too easily. These biases create value for both forms of content.

Human-generated content still serves one (critical) purpose- to train new LLMs. How they get valued depends on many factors. Chief of which is personal preference.

Consequently, no one (really) knows what will come next.

Our experts provide insights into what to expect and opportunities for everyone on both sides of the spectrum (whatever their preferences).

Reactance is Occurring

The previous response to the LLM launches is dissipating. There is a new model every other day. That said, AI tools have other issues.

“We should not talk about AI taking over jobs. There are still many professions (in the world) where human interaction and emotional support are indispensable. AI can act as an assistant in content creation, but according to one Hootsuite study, companies plan to double the use of AI in various activities. That said, according to the same report, 62% of users respond that they are less willing to interact with AI content”, says Ilya Smirnov, Head of AI/ML Department at Usetech.

AI LLMs have done a quick job of generating text, saving time and energy for many. That ease of use comes at a price. Mistakes are (often) made.

“Yes, many companies are using AI to generate text, but at the same time, many media outlets are not accepting AI-generated text or images for fear of fake information. Therein lies the problem of data security and ethical use. Many also believe that LLMs (large language models) will make a breakthrough or (actually) replace programmer labor. Yes, I agree that in a couple of years, LLM models can learn to build code without errors for a typical order to develop a small entrepreneur’s online store, etc. I think they can cope with page layout from a sketch layout and a fairly templated one (at that). But unique research projects-developments will be created by us, humans, and in no other way for a long time to come, but this is already the philosophy of AI”, Smirnov continues.

“I think the right thing to do is to (clearly) define the areas of AI adoption. Publish necessary studies and articles in the media, and educate schools, universities, and workplaces about what AI is and where it can be used. Then people will not be afraid of AI development. We can take the example of the recent epidemic: (until) 2020, humanity was not seriously frightened by the story of the spread of viruses and random mutations, which is a much more frightening phenomenon than the spread of AI”, Smirnov concludes.

Darian Shimy CEO at FutureFund

Integrity is Critical

In a world with trust issues, technology must, in principle, create situations where honesty reigns.

“As the CEO of Future Fund, where we harness technology to enrich educational fundraising, I’ve witnessed AI’s transformative potential firsthand. This experience (enables) me to offer a distinct viewpoint on the evolving landscape of AI-generated content and its broader implications”, says Darian Shimy, Founder & CEO at FutureFund.

He also pointed out a few facts.

Will AI Models Take Over Jobs?

“The discourse around AI and employment often veers towards a dystopian view where machines render human efforts obsolete. However, my vantage point reveals a more nuanced reality. AI is a tool for amplification of human potential. In education and beyond, AI’s role emerges not as a usurper but as a catalyst, automating operational tasks to liberate human intellect and creativity for higher pursuits. The future of work with AI is not about replacement but collaboration and elevation, fostering a synergy where each entity plays to its strengths.”

How Can We Regulate Deepfake Images, Videos, and AI-Generated Content?

“Navigating the challenges posed by deepfake technologies and AI-generated content demands a multifaceted strategy, blending innovation with integrity. The solution lies in developing advanced detection technologies and fostering a culture of ethical AI use underpinned by robust regulatory frameworks that protect against misuse while encouraging positive advancements.”

“In this context, transparency becomes paramount—a commitment to clearly labeling AI-generated content, ensuring the audience is informed and trust is preserved. This approach mirrors our commitment at Future Fund, where transparency and ethical use of technology form the cornerstone of our operations.”

Will AI Replace Content Creators?

“The fear that AI might replace human creativity overlooks the essence of creativity itself—its deeply human roots, infused with emotional depth, cultural nuance, and personal insight. AI tools and algorithms, for all their capabilities, cannot replicate the soulful nuances that define human artistry. Instead, AI presents an opportunity to redefine creativity, offering tools that extend the canvas of imagination, allowing creators to explore new horizons. As I see it, the future is not about replacement but a renaissance—a new era of creative collaboration between humans and AI, unlocking untold possibilities.”

Michael Babatunde Founder at Automation Switch

Fears are Overrated

As human civilization evolved from one technology to the next, several scenarios ensued, from those who evangelized the innovations to those who prophesied about the end of days.

There have (always) been those in the middle who adapted to new situations.

“Interestingly, we are now in a strange timeline that we had speculated decades ago, but never at that time thought the experience would be like this. AI is relentlessly causing new changes, no doubt, the effects are evident. I can tell you AI now has a new catalog across the spheres of the entertainment industry. Music, video creation, and art inclusive. (Lots and lots of) people are beginning to take advantage of this innovation, creating content through various AI models and making money from it”, says Michael Babatunde, Founder at Automation Switch.

He also had a few (other) considerations.

Will AI Models Take Over Jobs?

“Not all jobs will be lost to AI models. We should magnify the truth more than the fear being circulated by the media. AI has indeed created more jobs than it has taken away from people. I tell people the person using AI will have the edge over the person who has yet to adopt AI as a powerful creative tool because AI is the future. The efficiency it offers (coupled with) the fact that it helps you cut costs is just brilliant. Jobs like nursing, veterinary, teaching, and handy jobs like plumbing, and carpentry will be spared because they not only require soft skills but also require profound eye-hand coordination.”

How Can We Regulate Deepfake Images, Videos, and AI-Generated Content?

“I believe the big tech companies have a part to play. I will commend Microsoft for coming up with 11 access principles aimed at facilitating ethical AI innovation evolving in this present time. Gone are the days when few Tech companies decide what technology or software we can (have) access (to). Now the competition is wide, and access to various AI models is so easy (these days), giving everyone the autonomy to create whatever they wish.”

“There are detection algorithms and digital forensics tools that can fish out and pinpoint deepfake content. Reducing the harm that deepfakes can cause (is possible) when we invest in detection algorithm technologies. It will go a long way to establish safety. Also, when tech companies join forces with researchers and law enforcement agencies, effective solutions that can curb the continuous creation of deepfakes can be arrived at.”

Will AI Replace Content Creators?

“We will continue to wonder about the (impact) AI will have on content creators, even (while) it is becoming more prevalent. I do not share in the belief that it will completely replace human content creators. AI shall continue to fetch its possibilities from the existing patterns we humans create. It will imitate our originality, but true creativity, originality, and emotional depth will be lacking. Content that resonates deeply with us most of the time requires human creativity.”

Mansoor Ahmed-Rengers Co-Founder at OpenOrgins

Proof of Origin Offers Distinctions

The big question surrounding creativity will provide a basis for the ongoing “human vs. AI” discourse. Origin will open doors for content creators.

“With advancements in generative AI technologies, we are approaching a tipping point at which we will (no longer) be able to distinguish between real and fake. Fabricated content is threatening our understanding of reality and is a threat to democracy, as synthetic imagery drives disinformation campaigns around the world. This is a serious problem, with AI-generated misinformation and disinformation presenting the most severe risk to society over the next 2 years, according to the World Economic Forum”, says Mansoor Ahmed-Rengers, Co-Founder at OpenOrigins.

“While detection is an attractive defense, detection tools only serve to (better) train the AI models to evade detection. A more robust approach is to prove the origins of a piece of content – this is provenance. What is critically important is that the provenance follows the content in an unbreakable chain throughout its lifecycle, from the moment of capture to viewing”, Ahmed-Rengers continues.

“For example, OpenOrigins provides an end-to-end provenance solution. In this approach, as an image or video is captured, its metadata and surrounding contextual information (the “proof”) (is) instantly secured in a tamper-proof blockchain.

The benefit of using blockchain for this(purpose) is that it creates a decentralized, incorruptible trust infrastructure. When the viewer comes across that content, they can (then) trace it back to its origin point and have total certainty that it is a real, unedited, non-synthetic image. Taking this a step further, securing depth information also allows the viewer to prove scene liveliness and detect 2-dimensional fakes (“picture of picture” attacks),” Ahmed-Rengers explains.

“An immutable chain of provenance is important across industries – for newsrooms assessing photographs for publication, insurers checking claims evidence, preventing fraud in e-commerce, and verifying identities in financial services. As this approach becomes common practice, we will shift to a zero-trust mindset and only lend our trust to media that can prove itself”, Ahmed-Rengers predicts.

What Does the Future Hold?

Though chaotic, the past decade has given the world many new technologies that will define humanity for centuries. AI solutions are the new darlings of the world. The arts and humanities will continue to provide windows to the soul with the help of technology. 

That said, nothing can replace human creativity. There is no Turing test for the invisible ideas that move us to the emotions that define our humanity.

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