In 1966, a Bell Labs engineer named Kenneth C. Knowlton transformed a photograph into computer pixels and produced what became one of the first widely recognized digital artworks — a piece called Young Nude, built entirely from machine-processed light. Not paint. Not stone. Pixels. That single act quietly announced that the artist's toolbox had just expanded to include light, sound, and data as primary materials, and nothing in art history would be organized the same way again. While Conceptual art shifted the focus to the questions art asks, digital art further transforms this by integrating technology into the creative process. The digital age began between 1950 and 1970, when artists first adopted computers and television as creative instruments. By the 1970s, the Apple II enabled color graphics on personal computers, opening new visual possibilities. That same decade, Harold Cohen built AARON — the first AI system designed specifically to generate drawings through programmed code. Cohen didn't just make art with a machine. He asked whether a machine could author it. The internet revolutionized art distribution, making digital art interactive and multimedia, transcending traditional gallery spaces. Olia Lialina's 1996 net artwork My Boyfriend Came Back from the War placed viewers inside an emotional narrative navigated through hyperlinks — the viewer's choices shaped the experience. The artwork lived in the network, not on a canvas. Then the COVID-19 pandemic forced a second acceleration: virtual exhibitions, immersive VR and AR environments, and NFTs moved from experimental to mainstream almost overnight, reshaping both access and the art market simultaneously. Artificial intelligence is at the forefront of this transformation. In the 2020s, tools like DALL-E generate images from text prompts, exploring styles throughout art history. Refik Anadol's Unsupervised, shown at MoMA from 2021 to 2023, trained machine learning models on MoMA's own collection to produce morphic, data-driven images that rework historical artworks in real time. Anadol calls this the aesthetics of machine intelligence. It is not imitation. It is a new form of authorship — one that raises a genuinely unresolved question: if the machine generates the image, who is the artist? That question, Bashir, is not rhetorical. AI art generators are already reshaping demand for illustration and commercial art, and the philosophical debate about machine creativity remains wide open. The perception that digital art is less authentic than traditional work misreads what authenticity means — the challenge of selecting, filtering, and shaping data is as rigorous as stretching a canvas. What this course has traced from cave walls to pixels is a single continuous impulse: humans finding new materials to carry meaning. The definition of art keeps expanding because human creativity keeps outrunning every boundary placed around it. That is not a crisis. That is the pattern.