Abstract
While artificial intelligence (AI) research brings challenges, the resulting systems are no accident. In fact, academics, researchers, and industry professionals have been developing AI systems since the early 1900s. AI is a field uniquely positioned at the intersection of several scientific disciplines including computer science, applied mathematics, and neuroscience. The AI design process is meticulous, deliberate, and time-consuming – involving intensive mathematical theory, data processing, and computer programming. All the while, AI’s economic value is accelerating. As such, protecting the intellectual property (IP) springing from this work is a keystone for technology firms acting in competitive markets.
Recommended Citation
Brian S. Haney,
AI Patents: A Data Driven Approach,
19
Chi.-Kent J. Intell. Prop.
407
(2020).
Available at:
https://scholarship.kentlaw.iit.edu/ckjip/vol19/iss3/6