Artificial Empathy
How does artificial empathy compare with human empathy and morality in the decision-making process? What are the early business use cases in the artificial hole?
Summary:
Companies with humanitarian and ethical principles at their core can benefit from the approach of establishing such organizations. People are prone to various cognitive biases.
The sympathetic AI system will inject more sympathy into the operation mode. The consensus in AI systems will enable us to take the first step towards functional AI, which will empower human beings. This paper aims to explore the comparison between empathy AI and human empathy and morality, and whether empathy in AI systems can achieve better decision-making. This article will also explore some early use cases of empathy AI.
keyword:
Emotion, artificial emotion, empathy, emotional intelligence, Maslow dimension, human emotion, body, characteristics, synthesis.
brief introduction
Most of us want to see ourselves as rational people. In fact, our emotions control many parts of our cognitive abilities. Humans are highly social animals. Resonance is important to our survival. Neuroscientists have confirmed in a study that emotional intelligence and cognitive intelligence share many brain systems, which participate in the integration of cognitive, social and emotional processes.(Aron 2021) This study supports the cross and dependence of emotional intelligence and general intelligence that psychologists have known for decades.
When we talk about people who have lived a moral life, we usually mean a life that expresses a high degree of compassion. We can use empathy to interact with the environment and reach consensus with others.
Similarly, when it comes to AI, in order to improve our enterprises, the use of empathy in AI can greatly improve our opportunities to engage in ethical business practices. Therefore, the resonance of the whole enterprise may increase.
Human resonance and Moral and Artificial Empathy
If we want to move towards AI, resonance will be very important in AI systems. Artificial empathy is different from human empathy. Just as human intelligence is different from artificial intelligence.
Artificial emotion transfer is defined as encoding emotion as robot. He defines artificial empathy(sometimes called psychological empathy) as personal, situational, and dependent on the acceptable motivation of the person who displays such empathy.
Because empathy can be taught, AI will almost certainly deploy it in the near future.
Resonance is the process of looking at the world slowly and truly from the perspective of others. This is not something that schools can learn; on the contrary, we should develop for life.(Minter, 2018). The problem is to determine the exact composition and chemical composition of the mechanical auxiliary agent, so that the mechanical auxiliary agent can provide more compassionate and effective services. ▲ Through the understanding of acceptable artificial resonance use cases, companies can integrate more resonance into their operations and services for consumers.
Whether it resonates with AI systems is also related to moral issues. Some people believe that integrating human emotions into AI will lead to oneness. It is reasonable for us to worry about the singularity. Because artificial intelligence will replace human one day(Jayshree, 2019).
In recent years, artificial intelligence systems have become an increasingly large part of work and family. We are increasingly worried about the ethical issues of artificial intelligence. The progress of artificial intelligence has brought about the best of mankind and improved the quality of human life.
When it comes to people living a moral life, we are likely to interact with our environment with our compassion and reach consensus in society.(Charles, 2015) Those who work for compassionate organizations are more likely to lead a moral life than their colleagues. Similarly, in terms of AI, in order to improve our enterprises, the purpose of using AI consensus in specific business cases is to greatly improve our opportunities to engage in ethical business practices.
Initial Use of Artificial Empathy
In order to obtain AI, AI must judge based on resonance. That is, the system must be integrated into. “Artificial brain”; it also affects cognitive and emotional processes.(Andy, 2020) In order to design a successful AI system and provide value for operations, enterprises must determine the correct use case of emotion.
An early example is customer care. The customer care chat robot can talk with customers in the same way as people. This WeChat robot can speak programming problems in a natural tone. After completion, the compassionate chat robot can detect complex emotions, such as depression, according to the customer’s answers.
When consumers show abnormally high frustration, WeChat robots can decide whether to transfer consumers to human support personnel according to the quality of consumers’ emotional experience. When the compassionate chat robot feels the happiness and joy of consumers, the chat robot has been truly confirmed by the satisfaction of consumers.
In other words, rather than giving people the feeling of talking with a machine, it is better to talk with a sympathetic robot to make people feel closer.
Another example of using AI resonance more effectively to help others is in the medical field. Nursing and medical professionals who care for patients with dementia face serious emotional challenges. The application of AI robot in the treatment of dementia patients can prevent doctors and nurses from being “neglected”. “Burn”; this will improve the quality of service. Their duty is to cooperate with nurses, monitor patients and provide daily care. In addition, dementia patients who received regular empathy therapy reported better results.
Can AI make better decisions?
One of the most common complaints about AI systems is that they cannot be “used”. Explain “; how they came to a conclusion or judgment.
Because the emotion processing unit EPU is integrated into the artificial intelligence system, these systems will be able to convey emotions used to make compassionate judgments.(Adam, 2020). The system defines the black box “; the training set and data generalization of various data are designed to meet the specific emotional requirements of each consumer. By using the compassionate AI system, we can detect the customer’s emotional state that drives the conclusion of the AI system, and improve the transparency of AI decision-making.
Sympathetic AI systems will have higher opportunities if they include more openness in the decision-making process of the system.
conclusion
With the development of our AI system towards AI, understanding the application cases of emotion transfer may be beneficial to our AI system, which will help to the moral realization of AI.
People are prone to various cognitive biases. After specifying real world use cases and applications, emotional intelligence AI can start to focus on eliminating common human cognitive biases, such as fear and anger.
AI in AI system, with the support of empathy, can let us take the first step towards functional AI, which will empower human beings.
Companies that use sympathetic AI systems may bring more compassion to the way they operate. Therefore, companies with humanitarian and ethical principles at their core can benefit from the way such organizations are established.
reference
Minter Dial, Homologous(November 2018)
Jayshree Pandya, Technical Advantages(February 2019)
Chip Conley, Peak – How Great Companies Get Magic Revisions from Maslow(December 2017)
Aron K. Barbey, Intelligence and Cognitive Neuroscience(July 2021)
Christine Lisetti, Emotional Synthesis(November 2008)
Adam Torres, emotion synthesis chip of artificial intelligence and robot(September 2020)
Charles Holm, 25 cognitive biases(January 2015)
Andy Williams, Artificial Intelligence Model(July 2020)