Font Size: a A A

Research On Intelligentization Of Lie Recognition Technology In Interrogation And Its Legal Regulation

Posted on:2021-06-10Degree:MasterType:Thesis
Country:ChinaCandidate:T Q YangFull Text:PDF
GTID:2506306224993929Subject:Investigation
Abstract/Summary:PDF Full Text Request
The Criminal Procedure Law establishes the rules for the exclusion of illegal evidence.Although it protects the human rights of the person prosecuted,it increases the difficulty of investigation and interrogation and brings challenges to traditional interrogation.Promoted by artificial intelligence technology,the application of intelligence of lies recognition in interrogation has entered a new era.Emotion recognition is performed through the combination of human and machine,so as to determine whether the suspect is aware of the facts of the case and whether he has lied to the relevant issues.Lie recognition intelligence originates from psychological testing technology,which plays a significant role in determining the direction of investigation,finding clues,and identifying testimony,but it has the limitation of higher test conditions.In recent years,artificial intelligence,especially computer vision technology,has been applied to the recognition of micro-expressions,eliminating the problem of difficult and inaccurate recognition by naked eyes.The intelligent recognition technology represented by micro-expressions integrates a variety of physiological data to comprehensively analyze the emotional changes of a criminal suspect to determine whether he is lying,which is more convenient and efficient than traditional psychological tests.In the future,virtual robots may become an important auxiliary system for lie recognition in the interrogation process.Human-computer interaction and emotion recognition technology are its two pillars."External stimulus-psychological change-physiological response" indicates that intelligent lie recognition has a theoretical basis of physiology and psychology,and statistical theory helps to understand the accuracy of the lie recognition conclusion.Right now,there are technical deficiencies and legal risks in the intelligent identification of lies.Multi-channel test and micro-expression recognition have limitations.Multi-modal emotion recognition has technical problems of low integration,insufficient database ecology,and fuzzy weight ratio.Virtual robots have sensitive emotion recognition technology,but it is difficult Learn human non-logical thinking.In terms of personal rights protection,the use of artificial intelligence technology to collect physiological data violates citizens’ right to privacy.At the same time,it violates the principle of "no forced self-incrimination".Algorithmic black boxes and algorithmic discrimination challenge the fairness andtransparency of judicial procedures.Therefore,the technical level should standardize the application,enhance the integration of the identification path,optimize the ecology of the data,and determine the weight ratio;the legal level should clarify the legal boundary of the intelligent lie recognition technology in the interrogation,and take the consent of the criminal suspect as the The premise of technology application,adhere to its auxiliary positioning in the interrogation,strengthen the supervision of data for legal regulation.The full text is divided into four chapters.The first chapter studies the theoretical basis of the intelligence of lie recognition technology.The purpose of the interrogation is to obtain the confession and justification of the suspect.Lie identification is an important method.Lie recognition intelligence refers to the combination of science and technology and interrogation,identifying the suspect’s emotions,judging the suspect’s psychological information,and identifying lies.The theoretical basis for the intelligence of lies recognition involves physiology,psychology,and statistics.The second chapter is the application and development of intelligent lie recognition technology in interrogation.It discusses the role of psychological test technology and micro-expression recognition technology in interrogation.the study.Psychological testing technology provides important help for investigators to determine the direction of investigation,find clues,distinguish testimony,etc.Micro-expression recognition technology helps to quickly sort out,verify evidence,and adjust interrogation strategies.Multi-modal emotion recognition technology is mainly based on micro-expression recognition.It integrates a variety of physiological data such as heart rate,sound intensity,eye movement,etc.to comprehensively judge emotion changes.It has non-contact characteristics,and emotion recognition is efficient and convenient.Virtual robots still exist in theoretical research,and their autonomous interrogation and lies recognition capabilities will surpass humans.The third chapter analyzes the technical problems and legal risks faced by the intelligent development of lies recognition technology in the interrogation.Multi-channel test and micro-expression recognition have certain limitations;multi-modal design has the problems of weak modal representation and insufficient data training;machine thinking cannot replace human thinking,and subjective experience of interrogators cannot be replaced.In addition to technical and ethical issues,intelligent lie recognition technology poses a risk of infringing upon the legitimate rights of criminal suspects,the right of individual privacy protected by the Constitution,and the "principle of no self-incrimination" protected by the Criminal Procedure Law will be challenged.At the same time,algorithm black boxes and algorithm discrimination have an impact on the principle of fairness and openness in the legal industry.The fourth chapter puts forward specific solutions and legal regulation suggestions for the problems and risks.At the technical level,standardize the application programs of Multi-channel Instrument Testing and micro expression,enhance the integration of multi-modal emotion recognition technology,improve and enhance the ecological nature of the database,and determine the optimal value of the proportion of various modes;at the legal level,it is necessary to set up a "consent" exemption pre program,adhere to the auxiliary positioning of intelligent lie recognition technology,strengthen the sufficiency and safety of data collection,and strictly standard technical procedures.
Keywords/Search Tags:Lie recognition, Polygraph, Artificial intelligence, Multimodal emotion recognition, Legal regulation
PDF Full Text Request
Related items