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Artificial intelligence and human cecision-making

In 20 years 45% of the jobs will be developed by the artificial intelligence


Carl Benedikt Frey team examined how susceptible they are certain jobs to be made ​​by computers, robots or artificial intelligence.

Researchers accessed 702  jobs, which can be faced with technological advances and the impact these will have on the labor market and education. The results show that in 20 years, about 45 percent of the work will be developed by the artificial intelligence (AI). The study also shows that the higher the education and income, the lower the chance of this happening.

According to the researchers, the replacement of human work will occur in two phases. In the first computers will begin to replace people in particularly vulnerable areas: transportation, logistics and administration. The second stage will begin a second wave driven by major advances in artificial intelegence  and quantum computing related to science, art, engineering and marketing.

Recent developments in artificial intelligence are allowing an increasing number of decisions to be passed from human to machine. Most of these to date are operational decisions – such as algorithms on the financial markets deciding what trades to make and how. However, the range of such decisions that can be computerisable are increasing, and as many operational decisions have moral consequences, they could be considered to have a moral component.

One area in which this is causing growing concern is military robotics. The degree of autonomy with which uninhabited aerial vehicles and ground robots are capable of functioning is steadily increasing. 

For a non-military example, consider the adaptation of IBM’s Jeopardy-winning “Watson” for use in medicine.  Soon we will have systems that will enter use as doctor’s aides – able to analyse the world’s medical literature to diagnose a medical problem and provide recommendations to the doctor.

Moral Outsourcing

“Would you allow another person to make a moral decision on your behalf?  Even if we are outperformed 99.99% of the time, the unpredictability of the 0.01% failures may be a good reason to consider carefully what and how we morally outsource to the machine.

Of interest