With all the hoopla about Artificial Intelligence and the benefits of enlisting this wondrous technology: There are many levels of Artificial Intelligence (AI) that may have big benefits but focuses on helping the human counterparts instead of replacing:
According to TechTarget’s WhatIs page:
AI involves the simulation of human intelligence processes by software systems. These processes include acquiring information and rules for using the information, applying the rules to reach conclusions and applying self-corrective measures to adapt to variations in outcomes. An expert system, for example, incorporates a knowledge base for a given area, such as medicine or the law, and rules for applying the information to guide its responses to user input. Through machine learning, an expert system can improve its performance by analyzing its experience, similarly to the way that humans learn.
ROSS Intelligence, a legal expert system (see: AI attorney) uses data mining, pattern recognition and natural language processing and a specialized knowledge base to perform the tasks of a research assistant. Unlike a human assistant, however, the AI system can mine data from about a billion text documents, analyze that information and provide precise responses to complicated questions, in natural language, in less than three seconds. Furthermore, a software system can work unlimited hours and doesn’t require a salary or a vacation. Because of the efficiencies of AI, such systems are increasingly replacing human labor and are likely to continue to do so. Nevertheless, the purpose of these systems is to support humans and that is the point that promoters want to emphasize.
An alternative term for artificial intelligence might also better reflect the current state of technology and research. According to Andrew Moore, Dean of Computer Science at Carnegie Mellon, the vast majority of AI researchers are exploring systems that support human endeavors rather than systems that simulate human intelligence.
Alternative terms for augmented intelligence include intelligence amplification, cognitive augmentation and machine-augmented intelligence. IBM, which has invested heavily in artificial intelligence, suggests the term intelligence augmentation (IA), not only to emphasize the supportive role of the technology but also to avoid confusion caused by using AI as an abbreviation.
Additional Resources about Augmented AI: