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As AI-generated art becomes more prevalent, it may be necessary to incorporate new forms of artistic training into traditional art education programs. A basic understanding of AI technology will be fundamental for artists should they wish to incorporate this technology into their practice. This includes knowledge of machine learning algorithms, programming languages, and data analysis.

A step further, artists will also need to develop skills in collaborating with AI systems in order to create new forms of art. This includes working with AI algorithms to generate new ideas, using AI tools to enhance traditional art techniques, and incorporating AI-generated content into their work.

However, artists will also need to continue to think critically when working with AI tools. As we discussed, biases, stereotypes, misinformation and factual inaccuracies can seep into AI generated information based on inaccurate public information that it pulls from. While AI can assist in the creative process, it cannot replace the unique perspective and creativity of human artists. Artists will need to continue to develop their critical thinking and creativity skills in order to create art that is distinctive and meaningful.

An openness to experiment, adaptability, and agility with AI tools will be a necessity for artists to develop their practices in the world of AI art.

With the rise of online marketplaces and social media, artists will need to develop business and marketing skills in order to promote and sell their work in an increasingly competitive marketplace. Particularly in more volatile markets of new technologies in the art world, taking risks with new platforms and transactional methods to learn from will also be realities for artists in the (near) future.

• Tags
• #Impact
• #Art Education
• #Artistic
• #Artificial intelligence
• #artists