WW2, originally called the Imitation Game, used to test if a machine is as intelligent as a human) is not accurate or appropriate for testing strong AI. Terminology “Weak AI” is sometimes called “narrow AI”, but the latter is usually interpreted as subfields within the former. Hypothesis testing about minds or part of minds are typically not part of narrow AI, but rather implementation of some superficial lookalike feature. Many currently existing systems that claim to use “artificial intelligence” are likely operating as a narrow AI focused on a specific problem, and are not weak AI in the traditional sense. Siri, Cortana, and Google Assistant are all examples of narrow AI, but they are not good examples of a weak AI, as they operate within a limited pre-defined range of functions. They do not implement parts of minds, they use natural language processing together with predefined rules. They are in particular not examples of strong AI as there are no genuine intelligence nor self-awareness. AI researcher Ben Goertzel, on his blog in 2010, stated Siri was "VERY narrow and brittle" evidenced by annoying results if you ask questions outside the limits of the application. Weak vs. strong A.I. The differences between weak vs. strong AI is not widely catalogued out there at the moment. Weak AI is commonly associated with basic technology like voice-recognition software such as Siri or Alexa as mentioned in Terminology. Whereas strong AI is not fully implemented or testable yet, so it is only really fantasized about in movies or popular culture media. It seems that one approach to AI moving forward is one of an assisting or aiding role to humans. There are some sets of data or numbers that even we humans cannot fully process or understand as quickly as computers can, so this is where AI will play a helping role for us. Impact Some commentators think weak AI could be dangerous because of this "brittleness" and fail in unpredictable ways. Weak AI could cause disruptions in the electric grid, damage nuclear power plants, cause global economic problems, and misdirect autonomous vehicles. Examples Some examples of weak AI are self-driving cars, robot systems used in the medical field, and diagnostic doctors. The reason all of these are weak AI systems, self-driving cars can cause deadly accidents similarly to how humans normally can. Medicines could be incorrectly sorted and distributed to people. Also medical