How no-code, reusable AI will bridge the AI divide
In 1960, J.C.R. Licklider, an MIT professor and an early pioneer of artificial intelligence, already envisioned our future world in his seminal article, “Man-Computer Symbiosis”: In the anticipated symbiotic partnership, men will set the goals, formulate the hypotheses, determine the criteria, and perform the evaluations. Computing machines will do the routinizable work that must be done to prepare the way for insights and decisions in technical and scientific thinking. In today’s world, such “computing machines” are known as AI assistants. However, developing AI assistants is a complex, time-consuming process, requiring deep AI expertise and sophisticated programming skills, not to mention the efforts for collecting, cleaning, and annotating large amounts of data needed to train such AI assistants. It is thus highly desirable to reuse the whole or parts of an AI assistant across different applications and domains.To read this article in full, please click here
In 1960, J.C.R. Licklider, an MIT professor and an early pioneer of artificial intelligence, already envisioned our future world in his seminal article, “Man-Computer Symbiosis”:
In the anticipated symbiotic partnership, men will set the goals, formulate the hypotheses, determine the criteria, and perform the evaluations. Computing machines will do the routinizable work that must be done to prepare the way for insights and decisions in technical and scientific thinking.
In today’s world, such “computing machines” are known as AI assistants. However, developing AI assistants is a complex, time-consuming process, requiring deep AI expertise and sophisticated programming skills, not to mention the efforts for collecting, cleaning, and annotating large amounts of data needed to train such AI assistants. It is thus highly desirable to reuse the whole or parts of an AI assistant across different applications and domains.
