The development of AI has become a disruptive and transformative force that alters all forms of creative expression, including visual art, music, literature, and performance. Artistic content generation through AI technology expands authorship constraints by enabling machines to produce art in various ways, enhancing existing works, and executing simulations. This paper presents a comprehensive assessment of AI implementation across various art fields before examining how AI impacts human creative capabilities and identifying the ethical and conceptual issues that arise from machine-generated artworks. This paper synthesises contemporary research from 2019 to 2025 on AI technology in creative applications. The creative field currently experiences major changes because machine-produced artwork becomes more sophisticated thanks to AI tools, including DALL-E, Stable Diffusion, GPT-4 and AI-generated content. AI technology introduces new artistic territory but raises debates on copyright rules, sparks authorship debates, affects employment conditions and disrupts human-machine professional interactions. The investigation highlights both the benefits and challenges that arise from artificial intelligence applications in creativity. With AI tools, humans can enhance their artistic quality by leveraging AI as a collaborative tool and venture into new artistic domains that surpass human capabilities. Prior regulatory action must be taken urgently to address significant ethical concerns, including copyright conflicts, data bias, and the erosion of artistic authenticity. The review emphasizes the importance of integrating knowledge from artistic disciplines with both legal frameworks and ethical AI regulations to strike a balance between technological progress and artistic quality.