流動的錨點——AI 發展史年表

There are many different accounts of the history of AI development, but most agree that it began after World War II. In 1956, John MCCARTHY coined the term “Artificial Intelligence” at a conference at Dartmouth College, marking the birth of AI research. In the 1960s, early AI like ELIZA, which simulated a psychotherapist’s conversation, demonstrated the potential of AI. However, in the 1970s, due to technological limitations and reduced funding, AI entered a period known as the “AI Winter.”

With IBM’s Deep Blue supercomputer defeating chess champion Garry KASPAROV in 1997, AI returned to the public eye. In the 2010s, deep learning technology drove significant progress in AI. In 2016, AlphaGo defeated Go world champion LEE Sedol, marking the maturity of deep learning. Entering the 2020s, AI technology has made significant breakthroughs in natural language processing and image generation, giving rise to large language models like GPT-3. Generative AI (GAI) can generate realistic images, videos, music, and other text. GAI is expected to play a role in more fields, from creative industries to scientific research, continuing to change the way we live and work.

In this project, we have translated extensive scientific research and technological history, focusing on key technological breakthroughs and related events. We present the evolution of AI in parallel with the global political, economic, and cultural state during each period, from three perspectives: “AI Development” (primarily software and algorithms), “World History” (including mass production of graphics chips, wars, etc.), and “Culture and Art” (involving AI imagery in literature, art, and popular culture). We invite viewers to discover a starting point for exploration based on their familiarity with these aspects.