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What is Generative AI

Generative AI describe algorithms(chatGPT) that can be used to create new content, including audio, code, images, text, simulations, and videos.

Generative AI is distinct from other forms of AI as it does not depend on rules or pre-defined structures; instead, it produces outcomes tailored to the requirements of each user. This makes it highly adaptive and able to analyze a wide range of inputs and scenarios, even in rapidly changing environments.

How it can apply to content creation

Dall-E

ChatGPT

How is’t AIGC applying to Fashion

Inspiration

Graphics generation

E-commerce marketing image

AIGC Creative Product

What’s the Benefit of AIGC

For organizations hoping to reduce the cost of content production, generative AI may be the missing piece. By combining prompt analysis with open access to the Internet, these generative models can learn and write much faster than humans can. Using an AI resource can make a number of content production processes much more efficient:

• Research
• Outlining
• Drafting
• Revisions (to a limited extent)

Instead of spending hours writing a first draft, you can prompt the AI to create one in a matter of minutes. This can be a game-changer for organizations with short production deadlines. 

Using generative AI for the grunt work of production can ease the burden on your content team. This can free up your marketers and creators to focus on higher-level things like:

• Tying content to relevant topic clusters.
• Finding opportunities for information gain.
• Expanding your internal linking strategy.
• Aligning existing content with your new content plan.
• Mapping out your content calendar to align with a marketing campaign.
• Improving your content quality to beat the competition.

While generative AI can’t take the place of human writers, it can seriously reduce their workload. When used intelligently, it can help your organization produce more and better-coordinated content at a lower price.

Any downside of AIGC

When your eyes deceive you

The most obvious risk with this technology is deep fakes. Generative AI can theoretically be used to create images, videos, text and voiceovers that never actually existed, but look, feel and sound real. Taken to an extreme, you could create a video of President Biden declaring nuclear war on Russia – and you can imagine the implications. On a less global scale, jilted partners could create fake revenge pornography or kids could create fake media to bully their classmates.

Arguably, this is just accelerating a situation that is already the case. Mankind has been faking news since the earliest written and drawn records. But, even today, creating fake news requires quite a high level of skill. Generative AI technology could mean that anyone could do it. Imagine a world where you literally can no longer believe your eyes. It’s not a pleasant thought.

Built-in bias

Another risk of this technology is that it will reinforce built-in biases in society. The models train off existing images. So, for example, if you ask for an image of a doctor or CEO, you’re most likely to get a visual of a white man. Some countries and their peoples are much more photographed than others, so they lack representation in the data set. Should the AI reflect the world that we want to see (and who gets to decide what world we want to see?) or the world as it is?

Whose rights?

All creatives rely on having their work protected by copyright law – otherwise, they can’t monetize it to make a living. Most of these generative models – whether they’re creating text, music, images or video – are trained off publicly available data. Is it legitimate for commercial companies to train their models off artists’ work that happens to be online – without licensing it for commercial use?

The technology companies argue that it is legitimate – and that arranging the licensing for the billions of pieces of data they train off just isn’t practical. But many artists don’t agree. But this innovation has moved faster than national legal systems – there’s no clear answer in the law. In the next few years, we should expect several test cases going through the law courts. Until the legal position is clear, some argue that using generated media for commercial purposes leaves you, the user, open to being sued.

It still isn’t reliable

While many of the results published in the media from these platforms are truly incredible, they’re still far from foolproof. Image generators often stray into the “uncanny valley”. This term refers to human likenesses that are very close to being realistic but something is just a little bit off – and they evoke a strong negative reaction in people.

Also, finding the best way to write your text prompt to get the results you want can take time. Even then the results may not work for you. Having said that, with the pace of improvement in these technologies, these issues probably won’t exist in a few years’ time.

Case study / Key Prompt