Article

The arrival of artificial intelligence (AI) in the artistic field is not merely a technical evolution, but a profound transformation in how we perceive the creation, authorship, and value of art. With algorithms capable of learning styles, patterns, and emotions, AI has become both a tool and a collaborator in the creative process.

In recent years, artists and programmers have explored neural networks and deep learning to generate images, music, and poems that challenge the boundaries between the human and the digital. Projects like GAN (Generative Adversarial Network) allow the creation of visual works with original styles or inspired by classical masters, leading to philosophical questions: who is the author of a work generated by AI? The algorithm's coder? The software itself? Or the user who chooses parameters?

Furthermore, AI is democratizing access to artistic creation. Tools like DALL-E, Midjourney, or Stable Diffusion allow anyone to generate high-quality images from text descriptions. This creates a new form of expression, but also raises debates about copyright and ethics in art, especially when models train with existing works without the explicit consent of the artists.

Ultimately, AI does not replace human creativity—on the contrary—it expands our capabilities. Collaboration between artist and machine can result in unprecedented sensory experiences, interactive performances, and works that evolve in real time. Modern art, therefore, enters a new era where creativity is co-created between man and algorithm.

Latamarte

• Tags
• #artificial intelligence
• #modern art
• #digital creativity
• #neural networks
• #artistic authorship
• #generative art