Title: Exploring the World of AI Art: Mechanisms, Impact, and Future

Art has been a fundamental pillar of human civilization, serving as an expression of our deepest feelings, experiences, and ideas about the world. Today, it draws upon the positively disruptive power of Artificial Intelligence (AI), birthing an exhilarating frontier: AI Art. This revolutionary direction harnesses machine learning, algorithms, and robotics to create visually gripping artwork. But how exactly does AI contribute to the world of art?

Artificial Intelligence: A Basic Overview

Artificial Intelligence pertains to computer systems capable of performing tasks that traditionally would require human intelligence. These tasks range from interpreting visual input, recognizing speech, to decision-making. Primarily, AI in art leans towards Machine Learning – a subset of AI that applies algorithms to parse data, learn from it, and make a prediction or decision.

How AI Produces Art

The production of AI art fundamentally involves two key phases: the training phase and the generation phase.

In the Training Phase, the creators feed hundreds or even thousands of pieces of art into an AI system or a neural network. The system undergoes learning by identifying patterns and features in this vast pool of input. This learning process facilitates the AI system's ability to output its "own creations."

In the Generation Phase, the AI uses the learned data to create new art pieces. One popular method is through generative adversarial networks (GANs). GANs consist of two parts: the Generator, producing the images, and the Discriminator, determining their authenticity compared to the trained data. This rivalry aids the system to enhance the authenticity of newly created works.

The Impact of AI Art

AI art has undeniably expanded our understanding of creativity and artistic expression. It has given rise to masterpieces like "Portrait of Edmond de Belamy," produced by Paris-based collective Obvious using GAN, and was auctioned at Christie’s for a staggering $432,500.

Moreover, AI artists – AI systems or robots that create art – like AARON, by Harold Cohen, and The Painting Fool, by Simon Colton, have stirred considerations of whether creativity could be a property of machines too. These developments have ignited productive debates broadening our perspectives on technology's role in creative fields.

The Future of AI Art

AI art is only in its infancy but promises a sea of possibilities for artists and technologists. As AI platforms become more sophisticated, they could potentially take on a more collaborative role with human artists.

Artists may harness AI algorithms to push their creativity further, exploring new techniques or ideas inspired by the AI. On the other hand, AI could serve as a valuable tool in bridging the gap between artists and people who don't usually engage with art, thus making art more accessible and inclusive.

In conclusion, AI in art heralds an exciting junction of technology and creativity. While it raises important philosophical and identity questions, it lavishes the art world with refreshed vigor and a cornucopia of possibilities. As AI continues to evolve, it will draw a new face of art with each stroke, shaping an artistic experience previously unimagined. This makes AI Art not just a subject of admiration but a catalyst for change and evolution in the serene, exquisite, and thoughtful realm of Art.