Technical Differences Between Artificial Intelligence and Superintelligence
Donald Trump's suggestion that the federal government use the term superintelligence instead of artificial intelligence has brought the technical and academic meaning differences of the two concepts to the agenda.
US President Donald Trump's argument that the word artificial makes the technology appear fake and his suggestion to use the phrase 'superintelligence' has opened up the conceptual confusion in the technical literature and the fundamental differences between the terms for discussion.
Definition and Scope of Artificial Intelligence
Artificial intelligence is a broad term referring to computer systems designed to perform tasks associated with human intelligence. These systems can perform functions such as text generation, visual recognition, question answering, and data analysis.
The scope of artificial intelligence includes a wide range of technologies, from systems that recommend videos to speech recognition tools and generative AI tools that produce text, visuals, and code.
What is the Concept of Superintelligence
Superintelligence has a much more specific meaning in academic and technological debates, referring to a hypothetical level of machine intelligence that vastly exceeds human cognitive abilities in almost all fields.
This definition, discussed by philosopher Nick Bostrom in his 2014 book, examines the possibility of machines reaching intellectual capacities far superior to those of humans.
Rationale for the Name Change Proposal
Donald Trump argued that the word artificial creates the impression that the technology is fake, putting forward the phrase superintelligence as an alternative.
In a technical context, the word artificial denotes intelligence produced by a machine rather than a biological brain and does not mean that the capabilities of the technology are fake.
Impact of the Terminology Change
A terminology change does not automatically alter what existing systems are actually capable of doing, and artificial intelligence systems become more capable as new models are developed.
In order for a system to be characterized as superintelligent, its actual capabilities must be examined rather than its name tag.