
Amy Webb
An in-depth analysis of AI's development by major tech giants and governments, its societal risks, and a call for global cooperation to shape a humane AI future.
The term 'Artificial Intelligence' was coined in 1956 at the Dartmouth Workshop.
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Section 1
9 Sections
Imagine a time when the very notion of a machine thinking was the domain of philosophers and dreamers. Centuries before the term artificial intelligence was coined, great minds grappled with the essence of thought itself.
In the 16th century, a remarkable creation—a tiny mechanical monk—walked, prayed, and moved its lips in contrition, astonishing onlookers and blurring the line between man and machine. This automaton was not just a toy but a symbol of humanity’s quest to replicate life’s complexity. Alongside this, the ingenious 'digesting duck' further challenged perceptions by mimicking biological processes.
Meanwhile, the mathematical world was witnessing revolutions of its own. George Boole’s development of Boolean algebra provided the language of logic that would become the backbone of digital circuits. His symbolic expressions of 'and,' 'or,' and 'not' allowed physical systems to emulate human reasoning in a tangible way.
Fast forward to the 20th century, and the visionary work of Alan Turing introduced the concept of a universal machine capable of computation and decision-making. This laid the groundwork for programmable computers, where data, programs, and hardware converged into a single entity—an idea mirroring the intertwined nature of the human body, mind, and experience.
The journey from philosophical musing to mechanical innovation and finally to computational theory reveals a fascinating tapestry of human curiosity and ingenuity.
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