Experts suggest the creators of artificial intelligence must study “consciousness.”

Numerous academics from around the world have signed an open letter urging AI developers to research consciousness as AI systems evolve. The letter, written by the “Association for Mathematical Consciousness Science (AMCS),” calls for a deeper scientific knowledge of consciousness, its potential applications to “artificial intelligence (AI)”, and how society might coexist with it. Although most researchers concur that AI is far from having human-level consciousness, some believe that progress should be halted because AI is developing quickly.

The letter’s signatories include professors from universities in the United States, Europe, and the United Kingdom, as well as Dr. Susan Schneider, the former chair of the US space agency NASA.

According to the most recent research presented in an open letter signed by dozens of academics from around the globe, as “artificial intelligence (AI) systems get more sophisticated, developers need to acquire more knowledge about consciousness.” “Imagining AI systems having emotions and even human-level awareness is no longer the stuff of science fiction,” the letter claims.

While the majority of researchers concur that AI is not near this level of intelligence, it is advancing quickly, and some argue that advancements should be stopped.

Long-term, the quick advancement of AI has made it clear that it is important to speed up the study of consciousness. AI systems are far from having consciousness on the same level as humans, but they are nevertheless advancing quickly, and some people believe that progress should be halted. Consciousness study and scientific knowledge of consciousness, as well as its potential applications to AI and how society might coexist with it, must be part of the agenda for the responsible development of AI.

The emotional consequences of AI language models may be more persuasive and risky as a result. There is a need for research into the origins of consciousness, its measurement, and its incorporation into AI systems.