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AI Art

AI art tools have made it easier for anyone, even those without formal training, to create their own artwork. These tools are user-friendly and use automated features that assist users in making their work both interesting and visually appealing.

People can now explore their creativity and express themselves artistically without needing extensive skills. But of course, these new tools are not without controversy. Let’s take a look at both sides of the coin…

The Appeal of AI Art

AI has become a “creative companion” for some artists, helping them in their artistic process. It can be used to generate new ideas, and explore innovative techniques.

This collaboration between humans and AI has resulted in the emergence of new art forms and styles–many of which are surprising and unique.

AI art has also allowed artists to venture into more unconventional territory, too. Some people have started delving into what’s called generative art, in which AI helps to create their artwork.

It uses computer programs that learn from existing art and then generate new art based on what they've learned. The AI algorithms can create things like pictures, music, or even poems. 

This has led to thought-provoking pieces which challenge our traditional notions of creativity. Ultimately, these new tools push the boundaries of what is considered “art.”

Controversy

The popularity of AI art has also raised some ethical concerns. For example, who owns AI-generated artwork? What if AI tools are used to create deceptive or malicious content?

The impact of AI art has cultural and societal implications as well. AI-generated art can now be seen in exhibitions, museums, and galleries, attracting public attention and fostering discussions about the intersection of technology and creativity. For example, one artist used Midjourney to create a piece that won a major contest–to the dismay of his fellow contestants. Here’s a link to the New York Times article. 

AI art tools are definitely making art more accessible to the masses. Since we can’t ignore its positive and negative implications, hopefully we can have discussions in the years to come about copyright, intellectual property, and user responsibility.

Try it out!

DALL-E is a “large language model” (LLM) created by OpenAI that can generate images from text descriptions. It uses a type of machine learning algorithm called a “diffusion model” to gradually create an image by adding “noise,” and then ultimately removing it.

In 2022, OpenAI announced DALL-E 2, a successor designed to generate more realistic images at higher resolutions that "can combine concepts, attributes, and styles.” Check out the video below to learn about DALL-E 2.

1. In order to try out DALL-E 2, go to https://openai.com/product/dall-e-2. Then click the button that says Try DALL-E. 
2. Log in using an email associated with your Microsoft account, Google account, or Apple ID.
3. If you weren’t an “early adopter,” you will need to buy some credits before using DALL-E (the minimum is $15). To read about other AI art generators, check out this article. 

Next up, we’ll cover some major moments in AI history. 

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