Colorful, colorful world. Living on the beautiful earth, everyone is eager to be understood and paid attention to. With the continuous progress of AI technology, its application potential in human expression recognition, emotion interpretation, semantic analysis and posture tracking has been continuously developed, which seems to provide strong technical support for criminal suspect locking and mental case research.
Based on its broad application space and diversified application value, countries all over the world are increasing their research on AI, and some countries have made breakthroughs in some fields in the framework of AI system. Exploring the relationship between AI and people, AI and the world has also become a common topic of multinational research.
Recently, the journal Nature published a paper using artificial intelligence to study the relationship between personality and facial features. The research team collected more than 12000 volunteers, used artificial intelligence technology to learn 128 kinds of face features through more than 31000 self photos, and divided the personality characteristics of volunteers into five categories, namely, sense of responsibility, neuroticism, extroversion, affinity and openness. The results show that the accuracy of AI in predicting personality based on static facial images reaches 58%, and the accuracy of responsibility is higher than the other four personality characteristics.
Using AI to identify character sounds both novel and mysterious. The “Ai face”, which was very popular on the network some time ago, although it integrates elements such as face recognition, it is mostly entertainment and has low reliability. At first glance, it seems impossible for AI to understand a person’s personality type and psychological characteristics from recognizing his face to “reading his mind”, from simple facial expression recognition. Next, let’s smooth out the relationship.
Understanding people’s minds and acquiring people’s thoughts has always been a field and direction of AI research. In recent years, AI has been given the important task of advanced “mind reading”, that is, without understanding people’s words, facial expressions and body language, it can detect what people are thinking, what they want to say and what kind of activities they want to carry out by detecting the brain waves of their brain Language Center and other functional centers (such as motor center).
In essence, AI’s “mind reading” function is mainly realized through emotional computing. By giving the computer the ability to recognize, understand and express people’s emotions, the computer has higher intelligence, and then more accurately and vividly reflect people’s emotional state and emotional changes, which is the goal of emotional computing. The level of emotion calculation greatly affects the accuracy of AI in identifying personality, psychology and emotion.
At present, with the joint promotion of many countries, the primary “Ai mind reading” has been basically realized, and the ability of AI to interpret brain waves has also been well demonstrated in the subject research of Britain, Russia and other countries. However, at present, the reduction degree of AI video restored by brain wave is still relatively low, and can only judge and restore known types, and the reduction effect needs to be improved.
The continuous development of AI mind reading technology not only makes people happy, but also causes the concern of many scientists. People’s emotions are always changing. It seems hasty and not objective to judge someone’s future personality only by relying on the emotional characteristics of the past period of time. Face based character recognition often prejudices the character’s character and temper, which leads to some ethical problems, such as character discrimination and prejudice.
In addition, how to delimit a reasonable application scope for AI “mind reading” and guide users to use the technology scientifically and safely is still a barrier for AI “mind reading” to move towards commercial application. Accelerating ethical norms and legislation is undoubtedly the two guarantees for the smooth application of AI “mind reading”. Only by strengthening supervision can AI “mind reading” really benefit the people, rather than being abused by criminals.
A typical application of AI “mind reading” is intelligent customer service. Behind the performance of “mind reading” by AI customer service is an intelligent customer service system driven by a series of capabilities such as AI, big data, cloud computing, Internet of things and front-end algorithms. At present, the financial industry with large demand for customer service and high quality requirements has become a big stage for intelligent customer service with AI “mind reading” ability to show wisdom.
It has become the consensus of people in the industry to carry out AI “mind reading” technology R & D and commercial application with a skeptical, rational and cautious attitude. Taking safety as the criterion, law as the constraint, innovation as the driving force and supervision as the means may enable people to obtain more sense of security and trust when referring to AI “mind reading”. Let’s wait for the further development of AI “mind reading”!
Editor in charge: Tzh