In recent years, artificial intelligence (AI) has been making significant strides in various fields, revolutionizing industries and reshaping the way we approach tasks and challenges. One area where AI’s impact is becoming increasingly evident is in the realm of art, where it is playing a pivotal role in making artistic expression and cultural experiences more accessible to people from diverse backgrounds and abilities. ZD Net brought this interesting subject to our attention in their article, “Can AI make art more accessible? One museum models a safe way forward.”

Traditionally, the art world has been perceived as exclusive, with barriers to entry based on factors such as socioeconomic status, physical limitations and geographic location. However, AI is dismantling these barriers by offering solutions that cater to a wider audience.

AI-driven tools like generative adversarial networks enable artists to collaborate with AI systems to co-create artworks. These systems can generate images, textures and patterns based on input from the artist, allowing for a dynamic interplay between human creativity and machine intelligence.

As we embrace the possibilities offered by AI, we have the opportunity to foster a more inclusive and equitable art ecosystem that celebrates the richness of human creativity and cultural expression.

The real challenge is that most organizations have little knowledge on how AI systems make decisions. Explainable AI allows users to comprehend and trust the results and output created by machine learning algorithms.

Melody K. Smith

Data Harmony is an award-winning semantic suite that leverages explainable AI.

Sponsored by Access Innovations, the intelligence and the technology behind world-class explainable AI solutions.