The threats to Humanity from Artificial Intelligence
What are the major threats to humanity? A number of other issues that have caused a number of countries and communities to lose the trust of their citizens have also created the conditions for the rise of AI.
In the past, the AI-based technologies such as the internet, smartphones, and the Internet of Things have been used to destroy our civil rights, our privacy, our security, our safety, and our future.
Examples of this include the National Security Agency (NSA) collection of all e-mails on a large scale, the Edward Snowden leaks about the mass collection of phone records, and the NSA’s targeting of citizens based on their political views and affiliations.
The AI-based technologies that run the Google search engine, as well as the digital assistants we use to do searches on the internet, have also caused a lot of harm to our privacy and our civil rights.
The recent advances of AI have included the ability to create digital images of you with an AI-powered camera, making it possible for a person to create a digital image of themself and run an image recognition system to determine if the image is one of them
The idea of an AI takeover has been around for a long time. Early on, AI researcher James B. Conant proposed an AI takeover in The New York Times in 1976, where he stated that “we will soon see the first human-dominated civilization,” to which the paper’s editors responded by asking him to explain what he meant by such a civilization.
Conant, who was also the executive editor of the Times, responded by stating that a civilization controlled by machine intelligence has already been formed, and that this is “a logical outcome for us to expect as computers progress toward intelligence.”
In the 1980s, the idea was first publicly presented by MIT AI researcher Tom H. Cover in his book The Coming Collapse of Complex Societies, where he made the case for an “AI takeover” in the near future.
Cover presented the idea as a way for humanity to survive as a race of machines without the need for human beings, and a way for the human species to maintain its uniqueness as a species.
Cover predicted that “the collapse of the economic and industrial complex is imminent, and its catastrophic consequences will be global.”
Cover also noted the “unprecedented speed” at which AI systems had developed. The pace at which AI systems have developed would be “faster by orders of magnitude than anything that has occurred in human history.”
Cover argued that the “human race” would no longer be the same, and that the only way for humanity to avoid the same fate as it had experienced in the past was for AI systems to develop the same level of AI that humans themselves had developed.
Cover suggested that an AI takeover could be prevented by achieving AI alignment, or by developing AI capabilities that could prevent a takeover.
Cover’s idea was controversial at the time and received widespread criticism from social scientists and AI researchers. The criticism claimed that an AI takeover would lead to the loss of the human species, which would cause the extinction of the human race.
The idea of an AI takeover is not new, although no real examples were known prior to the time of the 1950s. In 1951, an article written by the US Air Force’s Air Research and Development Command warned that the development of an artificial intelligence (AI) “would be the most serious matter that humanity has to confront in years.
The article recommended that the United States “keep abreast of the field” of AI research in order to implement adequate defense measures to counter the “danger to the civilian population and to the security of the United States.”
The article noted that the “development of an intelligent machine will involve a very serious menace to the society” and that “the most serious effort will have to be made to prevent the development of such a machine.
“It was not until the 1960s that the idea of AI was considered to be real due to the existence of a few AI research projects, and the “Projects for Advanced Research in Artificial Intelligence” (P-ARAI), which was a project sponsored by the National Science Foundation.
The P-ARAI is a project tasked with creating AI systems capable of learning. The P-ARAI’s goal was to create systems capable of simulating human cognitive processes, and were also tasked with developing an AI system that was able to learn, and eventually become a “mind reader.”
The P-ARAI researchers were tasked with developing Artificial Intelligence (AI) systems capable of learning, as well as an environment that would allow them to “learn” without being conscious of what they were learning. According to the PRAI program, these systems were tasked with creating “artificial learning machines.”
They were also tasked with implementing a “programming environment” and “a programming language” necessary to “program” these artificial learning machines.
In 1975, researchers at the SRI International and Carnegie Mellon University conducted research that created a new technique for creating a computer system capable of learning and developing. They created the world’s first Artificial Neural Network (ANN) system, which they referred to as “neural net.”
These researchers were tasked with developing ANN systems that were capable of learning and developing, and they were also tasked with implementing a system that was capable of learning without being conscious of what it was learning.
In 1976, the US government conducted a study called Project Bluebook, which was a project that was funded by the National Science Foundation. The Bluebook study aimed to create an AI system that would be able to “learn” and eventually “develop” a “mind.
The project was tasked with creating an AI system that was capable of learning, and it was also tasked with developing a “programming environment” and a “programming language” necessary to “program” this intelligence system.
The Bluebook researchers were tasked with creating an AI system capable of learning and developing, which was also tasked with creating an AI system capable of learning without being conscious of what it was learning.
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