From doodles to PRO
with the help of AI

AI hand in hand with creativity:

How does generative AI work in art?

AI models are trained on thousands or millions of existing works, learning to recognise and replicate artistic techniques, styles and visual elements. When given an input such as a sketch or partial image, AI can use its acquired knowledge to complete, improve or creatively transform the image.

It is important to note that AI does not simply copy or reproduce existing artwork; it combines and reinterprets learned patterns to create something new and unique. This opens a world of possibilities for students, allowing them to explore new creative directions and experiment with styles and techniques that would otherwise be difficult or impossible to achieve.

The power of AI in the arts classroom

Incorporating Artificial Intelligence into arts education has shown extraordinary potential. This disruptive technology is not only transforming the learning experience, but also redefining traditional concepts of creativity and artistic expression.

As mentioned before, thanks to AI, students can explore new techniques and styles to make their doodles easier to understand. Artificial-Intelligence-based tools can generate unique images, designs and compositions from simple sketches or even seemingly random lines.

Possible tools for turning your doodles into works of art

If you want to introduce a touch of basic exploration of Artificial Intelligence in art, we recommend following these steps with your class.

Choose a suitable AI tool: There are several AI-based tools and applications designed specifically to generate art from sketches or images. Popular options include Copilot, Canva, DALL-E, Midjourney, Stable Diffusion and Deep Dream Generator. Explore the alternatives and choose the one that best suits the doodles you want to decipher.

Prepare your doodle or sketch: Before using the AI tool, you need to have a doodle or sketch ready. Students can create one freehand or use a digital tool such as a stylus or graphics tablet. Make sure the sketch has enough elements for the AI to interpret it correctly.

Upload your doodle to the AI tool: Once your doodle is ready, upload it to the chosen AI tool. Some tools let you upload images directly, while others ask you to enter a text description of what you want to generate.

Configure the parameters: Most AI tools allow you to adjust various parameters to customise the final result, such as the desired artistic style, colour palette and level of detail. Experiment with different settings to find the result that best fits your creative vision.

Generate the final image: Once you have uploaded your doodle and set the parameters, it is time to let the AI work. Depending on the tool and the complexity of the image, generation can take from a few seconds to several minutes.

Refine and adjust: It is unlikely that the AI's first generation will capture exactly what the group had in mind. Do not be discouraged: the beauty of working with AI lies in its iterative refinement capability.

Explore and experiment: Do not limit yourself to a single iteration. AI offers a range of creative possibilities. Experiment with different styles, techniques and parameters to discover new forms of artistic expression. Each doodle can lead to multiple interpretations.

Remember that the key to making the most of AI in art is to keep an open mind and an experimental attitude. Do not be afraid to explore and play with the available tools. Every step is an opportunity to discover new ways to channel your creativity and take your ideas to new heights.

Limitations and challenges of Artificial Intelligence in art

Although generative Artificial Intelligence in art has proved to be a powerful tool, it also presents challenges that we must address. As we explore AI's possibilities in artistic creation, it is important to maintain a balanced perspective.

Bias and lack of diversity:

One of AI's main challenges in art is the possibility of inherent bias in the datasets used to train models. If training data are not sufficiently diverse or representative, AI may perpetuate stereotypes or a lack of inclusion in generated artwork.

Lack of originality and authenticity:

AI-generated art lacks the authenticity and originality inherent in art created by human beings. Today, there is an ongoing debate about whether AI-generated work can truly be considered "art" in the traditional sense.

Copyright and intellectual-property issues:

As AI becomes more integrated into the creative process, questions arise about copyright and intellectual property in generated artwork. Who is the legal owner of a work of art created by AI?

There is an answer to this, as the European Commission published a final version of the "AI Act", which:

· Requires AI developers to obtain permission from copyright holders before using copyrighted material in their AI models.
· Requires AI developers to carry out due diligence to ensure their AI systems are used responsibly and ethically.

Technical limitations:

Despite progress in AI, technical limitations remain regarding the resolution, detail and consistency of generated images. Some AI tools can produce blurry results or undesirable visual artefacts.

Despite these limitations and challenges, Artificial Intelligence remains a promising tool for art and accessibility. As technology advances and these issues are addressed, AI can become an increasingly valuable collaborator for education in different creative processes.

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