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What will the world look like when AI intervenes in human emotions?
What will the world look like when AI intervenes in human emotions?
What will the world look like when AI intervenes in human emotions?
It is generally believed that by 2050, we will be able to make progress in other areas beyond these specific areas, and ultimately achieve universal artificial intelligence (AGI). AGI is part of the new concept operating system Singularity released by Microsoft. The idea is that computers can transcend human beings on any cognitive task, and human computer fusion is becoming very common. What happens after that, no one can tell.
Do you have an artificial intelligence strategy? Do you want it?
One interesting idea is to install computer parts in the human body so that humans can process data faster. Some people think of the "neural grid" in the field of artificial intelligence can act as an extra cortex outside the brain, connecting us with electronic equipment, its speed and efficiency are very high. This will be a major innovation in machine parts, that is, electronic pacemakers and titanium alloy joints in the "cyborg" body. The future of artificial intelligence will focus on military and national defense applications, the concept of fully autonomous weapons is very controversial. This weapon system can search, identify, select and destroy an algorithm based goal, and draw lessons from past security threats, but without human participation. It's a pretty scary concept.
These ideas about artificial intelligence dominate the future of mankind, almost sci-fi anti Utopia, reminiscent of the terminator scene.
Accidental discrimination
There may still be a way out of human destruction, but now the warnings about the ethics of artificial intelligence have sounded the alarm. Just last month, a machine learning algorithm has been criticized because it offered the Amazon users bomb components, gender inequality and hatred spread through social media information in the advertisement. Much of this error is due to the quality and nature of data in machine learning. Machines will draw less perfect conclusions from human data. Today, this result raises serious questions about the management of algorithms and the mechanisms of artificial intelligence in everyday life.
Recently, a young American man with a history of mental illness has been refused a job because his attitude to algorithmic personality testing is not appropriate. He believes he has been unfair and illegal discrimination, but because the company did not understand this algorithm works, and the "labor law" is also not clear covering machine making classes, so he didn't have to resort to the law. China's "social credit" program also raises similar concerns. Last year, the project collected data from social media (including friends' postings) to assess the quality of a person's citizenship and use it for decision-making, such as providing loans to the person.
Ethical and legal needs for artificial intelligence
It is necessary to develop a clear moral system for artificial intelligence operations and regulation, especially when governments and enterprises have priority in some areas, such as access to and maintenance of electricity. Yuval Grali, a historian of Israel, discusses the paradox of driverless cars and trams. Innovative projects like the moral machine at the Massachusetts Institute of Technology try to collect data about human machine ethics.
Ethics, however, is not the only field that deals with artificial intelligence and human health. Artificial intelligence has had a great emotional impact on human beings. Nevertheless, as a topic of artificial intelligence research, emotion is still ignored.
You can browse through 3542 peer-reviewed articles on artificial intelligence published on the web page of the scientific scholarly database over the last two years. There are only 43, that is, 1.2%, including the word "emotion". There are fewer articles that really describe the emotional research of artificial intelligence. When considering the Singularity system, emotion should be incorporated into the scope of the cognitive structure of the artificial machine. However, 99% of artificial intelligence research does not seem to recognize this.
Artificial intelligence to understand human feelings
When we talk about emotions in artificial intelligence, we mean a couple of different things. One is that machines can recognize our emotional state and act accordingly. The field of affective computing is developing rapidly, measuring skin responses, brain waves, facial expressions, and other emotional data through biometric sensors. Most of the time, the calculations are accurate.
The application of this technology can be either good or evil. Companies can get feedback based on your emotional response to a movie and sell it to you in real time through smartphones. Politicians may carefully create information that can attract a particular audience. Social robots may adjust their responses and help patients better in a medical or nursing environment. Digital assistants may use a song to help boost your mood. Market forces will promote the development of this field, expand its coverage, and improve its capabilities.
How do we treat it?
Artificial intelligence is gaining momentum around us. Do targeted advertising on social media, screening applicants, determine the ticket prices, through the speech recognition control of central heating system, the creation of cultural output, or adjust the traffic flow, the task of artificial intelligence more and more in human life.
It is generally believed that by 2050, we will be able to make progress in other areas beyond these specific areas, and ultimately achieve universal artificial intelligence (AGI). AGI is part of the new concept operating system Singularity released by Microsoft. The idea is that computers can transcend human beings on any cognitive task, and human computer fusion is becoming very common. What happens after that, no one can tell.
Do you have an artificial intelligence strategy? Do you want it?
One interesting idea is to install computer parts in the human body so that humans can process data faster. Some people think of the "neural grid" in the field of artificial intelligence can act as an extra cortex outside the brain, connecting us with electronic equipment, its speed and efficiency are very high. This will be a major innovation in machine parts, that is, electronic pacemakers and titanium alloy joints in the "cyborg" body. The future of artificial intelligence will focus on military and national defense applications, the concept of fully autonomous weapons is very controversial. This weapon system can search, identify, select and destroy an algorithm based goal, and draw lessons from past security threats, but without human participation. It's a pretty scary concept.
These ideas about artificial intelligence dominate the future of mankind, almost sci-fi anti Utopia, reminiscent of the terminator scene.
Accidental discrimination
There may still be a way out of human destruction, but now the warnings about the ethics of artificial intelligence have sounded the alarm. Just last month, a machine learning algorithm has been criticized because it offered the Amazon users bomb components, gender inequality and hatred spread through social media information in the advertisement. Much of this error is due to the quality and nature of data in machine learning. Machines will draw less perfect conclusions from human data. Today, this result raises serious questions about the management of algorithms and the mechanisms of artificial intelligence in everyday life.
Recently, a young American man with a history of mental illness has been refused a job because his attitude to algorithmic personality testing is not appropriate. He believes he has been unfair and illegal discrimination, but because the company did not understand this algorithm works, and the "labor law" is also not clear covering machine making classes, so he didn't have to resort to the law. China's "social credit" program also raises similar concerns. Last year, the project collected data from social media (including friends' postings) to assess the quality of a person's citizenship and use it for decision-making, such as providing loans to the person.
Ethical and legal needs for artificial intelligence
It is necessary to develop a clear moral system for artificial intelligence operations and regulation, especially when governments and enterprises have priority in some areas, such as access to and maintenance of electricity. Yuval Grali, a historian of Israel, discusses the paradox of driverless cars and trams. Innovative projects like the moral machine at the Massachusetts Institute of Technology try to collect data about human machine ethics.
Ethics, however, is not the only field that deals with artificial intelligence and human health. Artificial intelligence has had a great emotional impact on human beings. Nevertheless, as a topic of artificial intelligence research, emotion is still ignored.
You can browse through 3542 peer-reviewed articles on artificial intelligence published on the web page of the scientific scholarly database over the last two years. There are only 43, that is, 1.2%, including the word "emotion". There are fewer articles that really describe the emotional research of artificial intelligence. When considering the Singularity system, emotion should be incorporated into the scope of the cognitive structure of the artificial machine. However, 99% of artificial intelligence research does not seem to recognize this.
Artificial intelligence to understand human feelings
When we talk about emotions in artificial intelligence, we mean a couple of different things. One is that machines can recognize our emotional state and act accordingly. The field of affective computing is developing rapidly, measuring skin responses, brain waves, facial expressions, and other emotional data through biometric sensors. Most of the time, the calculations are accurate.
The application of this technology can be either good or evil. Companies can get feedback based on your emotional response to a movie and sell it to you in real time through smartphones. Politicians may carefully create information that can attract a particular audience. Social robots may adjust their responses and help patients better in a medical or nursing environment. Digital assistants may use a song to help boost your mood. Market forces will promote the development of this field, expand its coverage, and improve its capabilities.
How do we treat it?