The Dartmouth Workshop, held in the summer of 1956 at Dartmouth College in New Hampshire, is recognized as the foundational conference that established artificial intelligence (AI) as a scientific discipline. Spearheaded by John McCarthy, Marvin Minsky, Nathaniel Rochester, and Claude Shannon, the workshop was attended by a group of leading computer scientists, mathematicians, and cognitive scientists who aimed to explore the possibilities of machine intelligence. The organizers proposed that 'every aspect of learning or any other feature of intelligence can in principle be so precisely described that a machine can be made to simulate it.' This bold proposition set the stage for what would become a transformative area of study.The workshop consisted of lectures, discussions, and collaborative work that focused on various aspects of cognitive processes, problem-solving, and machine learning. Researchers demonstrated early AI programs, such as checkers and mathematical theorem provers, reflecting the aspirations of the field. The discussions also highlighted the interdisciplinary nature of AI, combining insights from psychology, neurobiology, and computer science. The legacy of the workshop is evident in the continued growth of AI research and its applications across numerous fields, laying the groundwork for advancements in machine learning, natural language processing, and robotics.The lasting influence of the Dartmouth Workshop is notable in the way it created a formal community of AI researchers and sparked interest in the potential applications of intelligent systems. Subsequent decades would witness both unprecedented successes and challenges, including the development of expert systems, neural networks, and deep learning techniques. However, the workshop set the tone for future inquiries into machine intelligence and helped garner funding and public interest in AI.