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Even if current goal-based AI programs are not intelligent enough to think of resisting programmer attempts to modify their goal structures, a sufficiently advanced AI might resist any attempts to change its goal structure, just as a pacifist would not want to take a pill that makes them want to kill people. If the AI were superintelligent, it ...
Specifically, an AI model trained on 10 to the 26th floating-point operations must now be reported to the U.S. government and could soon trigger even stricter requirements in California.
The letter highlights both the positive and negative effects of artificial intelligence. [7] According to Bloomberg Business, Professor Max Tegmark of MIT circulated the letter in order to find common ground between signatories who consider super intelligent AI a significant existential risk, and signatories such as Professor Oren Etzioni, who believe the AI field was being "impugned" by a one ...
The dangers of AI algorithms can manifest themselves in algorithmic bias and dangerous feedback loops, and they can expand to all sectors of daily life, from the economy to social interactions, to ...
T he Biden Administration’s move on Jan. 13 to curb exports on the advanced computer chips used to power artificial intelligence (AI) arrived in the wake of two major events over the Christmas ...
It is unknown whether human-level artificial intelligence will arrive in a matter of years, later this century, or not until future centuries. Regardless of the initial timescale, once human-level machine intelligence is developed, a "superintelligent" system that "greatly exceeds the cognitive performance of humans in virtually all domains of interest" would most likely follow surprisingly ...
California adds a second metric to the equation: regulated AI models must also cost at least $100 million to build. Following Biden’s footsteps, the European Union’s sweeping AI Act also measures floating-point operations, but sets the bar 10 times lower at 10 to the 25th power. That covers some AI systems already in operation.
AI safety is an interdisciplinary field focused on preventing accidents, misuse, or other harmful consequences arising from artificial intelligence (AI) systems. It encompasses machine ethics and AI alignment, which aim to ensure AI systems are moral and beneficial, as well as monitoring AI systems for risks and enhancing their reliability.