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脑机交互技术在飞速发展的同时带来了亟待关注的伦理风险。脑机交互过程中将会收集的大量脑神经数据，引发了隐私安全性问题。将计算机设备与大脑直接相连的技术图景引发了学界对于自主性风险的担忧。从脑机交互的技术原理和发展现状出发，可以具体分析评估两类风险的潜在危害程度，给出可能的解决对策，以期对相应伦理问题进行理性的分析和反思，为进一步完善相关技术伦理监管的具体措施提供理论参考。
Abstract：The rapid development of brain-computer interface(BCI) technology raises pressing ethical issues. Large amounts of neural data will be produced and collected during brain-computer interaction, raising concerns about the security of privacy. Meanwhile, the idea of connecting computing devices directly to the human brain has also triggered worries regarding the risk of autonomy loss. Investigations into the mechanisms and status of state-of-the-art BCI technologies help to analyse and assess the potential degree of harm of both types of risk. Possible countermeasures and theoretical advices for further ethical regulation are suggested with a rational reflection on the ethical issues involved.
[1] Yuste R,Goering S,Arcas B,et al.Four Ethical Priorities for Neurotechnologies and AI[J].Nature,2017,551:159-163.
[2] 王雪芹，孟丽君.涉及脑机接口临床研究的多学科伦理审查专家共识[J].中国医学伦理学，2024,37(9):1119-1125.
[3] 肖峰.脑机接口技术的发展现状、难题与前景[J].人民论坛，2023(16):37.
[4] Bernal S L,Celdrán A L,Pérez G M,et al.Security in Brain-Computer Interfaces:State-of-the-Art,Opportunities,and Future Challenges[J].ACM Computing Surveys,2020,54(1):1-35.
[5] Finn E S,Shen X,Scheinost D,et al.Functional Connectome Fingerprinting:Identifying Individuals Using Patterns of Brain Connectivity[J].Nature Neuroscience,2015,18(11):1664-1671.
[6] Choi G Y,Choi S I,Hwang H J.Individual Identification Based on Resting-State EEG[C]// 2018 6th International Conference on Brain-Computer Interface (BCI).Gangwon,Korea (South):IEEE,2018:1-4.
[7] Bellman C,Martin M V,MacDonald S.(WKSP) On the Potential of Data Extraction by Detecting Unaware Facial Recognition With Brain-Computer Interfaces[C]// Proceedings of IEEE International Conference on Cognitive Computing (ICCC).San Francisco,CA,USA:IEEE,2018:99-105.
[8] Martín G A,Fernández-Isabel A,Martín de Diego I,et al.A Survey for User Behavior Analysis Based on Machine Learning Techniques:Current Models and Applications[J].Applied Intelligence,2021,51:6029-6055.
[9] Giancardo L,Sánchez-Ferro A,Butterworth I,et al.Psychomotor Impairment Detection Via Finger Interactions with a Computer Keyboard During Natural Typing[J].Scientific Reports,2015,5:9678.
[10] Duque R,Nieto-Reyes A,Martínez C,et al.Detecting Human Movement Patterns Through Data Provided by Accelerometers.A Case Study Regarding Alzheimer’s Disease[C]//García C,Caballero-Gil P,Burmester M,et al.(eds.) Ubiquitous Computing and Ambient Intelligence.Cham:Springer,2016:56-66.
[11] Tan S Y,Sumner J,Wang Y,et al.A Systematic Review of The Impacts of Remote Patient Monitoring (RPM) Interventions on Safety,Adherence,Quality-of-Life and Cost-Related Outcomes[J].npj Digital Medicine,2024,7:192.
[12] Neupane A K,Satvat M,Hosseini M,et al.Brain Hemorrhage:When Brainwaves Leak Sensitive Medical Conditions and Personal Information[C]// 2019 17th International Conference on Privacy,Security and Trust (PST).Fredericton,NB,Canada:IEEE,2019:1-10.
[13] 李佩瑄，薛贵.脑机接口的伦理问题及对策[J].科技导报，2018,36(12):38-45.
[14] Pandarinath C,Nuyujukian P,Blabe C H,et al.High Performance Communication by People with Paralysis Using an Intracortical Brain-Computer Interface[J].Elife,2017,6:e18554.
[15] 陈小刚，陈菁菁，刘冰川，等.2022年脑机接口研究进展[J].信号处理，2023,39(8):1355-1366.
[16] Wang J,Cherkassky V L,Just M A.Predicting the Brain Activation Pattern Associated with the Propositional Content of a Sentence:Modeling Neural Representations of Events and States[J].Human Brain Mapping,2017,38(10):4865-4881.
[17] Maiseli B,Abdalla A T,Massawe L V,et al.Brain-Computer Interface:Trend,Challenges,and Threats[J].Brain Informatics,2023,10:20.
[18] Frank M,Hwu T,Jain S,et al.Using EEG-Based BCI Devices to Subliminally Probe for Private Information[C]// WPES’17:Proceedings of the 2017 on Workshop on Privacy in the Electronic Society.New York:Association for Computing Machinery,2017:133-136.
[19] Spapé M,Davis K M,Kangassalo L,et al.Brain-Computer Interface for Generating Personally Attractive Images[J].IEEE Transactions on Affective Computing,2023,14(1):637-649.
[20] Steinert S,Friedrich O.Wired Emotions:Ethical Issues of Affective Brain Computer Interfaces[J].Science and Engineering Ethics,2020,26:351-367.
[21] 万礼洋，易显飞.脑机接口技术的伦理问题及治理对策探析[J].佛山科学技术学院学报(社会科学版),2021,39(3):46-52.
[22] Lavazza A.Freedom of Thought and Mental Integrity:The Moral Requirements for Any Neural Prosthesis[J].Frontiers in Neuroscience,2018,12:82.
[23] 王瑶，李雨涵，崔红岩，等.基于脑机接口的功能性电刺激研究综述[J].生物医学工程学杂志，2024,41(4):650-655.
[24] Scangos K W,Khambhati A N,Daly P M,et al.Closed-Loop Neuromodulation in an Individual with Treatment-Resistant Depression[J].Nature Medicine,2021,27:1696-1700.
[25] Nierhaus T,Vidaurre C,Sannelli C,et al.Immediate Brain Plasticity After One Hour of Brain-Computer Interface (BCI)[J].The Journal of Physiology,2021,599:2435-2451.
[26] 顾心怡.脑机融合下的交互自治与伦理影响研究[J].自然辩证法通讯，2023,45(7):111-119.
[27] Zhang S,Yuan S,Huang L,et al.Human Mind Control of Rat Cyborg’s Continuous Locomotion with Wireless Brain-to-Brain Interface[J].Scientific Reports,2019,9:1321.
[28] Richter C P,La Faire P,Tan X,et al.Listening to Speech with a Guinea Pig-to-Human Brain-to-Brain Interface[J].Scientific Reports,2021,11:12231.
[29] Chen X,Wang Y,Gao S,et al.Filter Bank Canonical Correlation Analysis for Implementing a High-Speed SSVEP-Based Brain-Computer Interface[J].Journal of Neural Engineering,2015,12(4):046008.
[30] Nakanishi M,Wang Y,Chen X,et al.Enhancing Detection of SSVEPS For a High-Speed Brain Speller Using Task-Related Component Analysis[J].IEEE Transactions on Biomedical Engineering,2018,65(1):104-112.
[31] 孔佳仪，魏屹东.自然和人工感知概念的界定与反思[J].自然辩证法研究，2024,40(1):59-65.
[32] 张学义，潘平平，庄桂山.脑机融合技术的哲学审思[J].科学技术哲学研究，2020,37(6):76-82.
[33] 周程.脑机接口领域中的伦理问题研究[J].人民论坛·学术前沿，2024(16):44-55.
基本信息:
DOI：10.19484/j.cnki.1000-8934.2025.08.005
中图分类号:R318;N02
引用信息:
[1]任思腾,周程.脑机交互中的隐私问题和自主性风险[J].自然辩证法研究,2025,41(08):53-59.DOI:10.19484/j.cnki.1000-8934.2025.08.005.
基金信息:
教育部人文社会科学重点研究基地重大项目“当代认知哲学基础理论问题研究”(22JJD720007)