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Artificial intelligence-enhanced technology is being used as an aid in the screening of eye disease and prevention of blindness. [89] In 2018, the U.S. Food and Drug Administration authorized the marketing of the first medical device to diagnose a specific type of eye disease, diabetic retinopathy using an artificial intelligence algorithm. [90]
The purpose is to reduce the risk of death and suffering, [1] that is, the disease burden, even when eradication of the disease is not possible. Vaccination is the chief type of such immunization, greatly reducing the burden of vaccine-preventable diseases. Immunity against infections that can cause serious illness is beneficial.
Widespread non-communicable diseases such as cardiovascular disease and cancer are not included. An epidemic is the rapid spread of disease to a large number of people in a given population within a short period of time; in meningococcal infections , an attack rate in excess of 15 cases per 100,000 people for two consecutive weeks is considered ...
The second thesis is that advances in artificial intelligence will render humans unnecessary for the functioning of the economy: human labor declines in relative economic value if robots are easier to cheaply mass-produce then humans, more customizable than humans, and if they become more intelligent and capable than humans.
Elon Musk predicted an 80% chance of prosperity and 20% risk of annihilation in the future. Musk shared his views on the "All In" podcast, highlighting AI's potential and risks.
The impact of artificial intelligence on workers includes both applications to improve worker safety and health, and potential hazards that must be controlled. One potential application is using AI to eliminate hazards by removing humans from hazardous situations that involve risk of stress, overwork, or musculoskeletal injuries.
Mr Clifford said that AI, if harnessed in the right way, could be a force for good. “You can imagine AI curing diseases, making the economy more productive, helping us get to a carbon neutral ...
Confidential work or business info: Proprietary data, client details and trade secrets are all no-nos. Security question answers: Sharing them is like opening the front door to all your accounts ...