博文
Evolution of Individual and Global Artificial Consciousness
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Traditional Invention and Innovation Theory 1946-TRIZ Does Not Adapt to the Digital Era
-Innovative problem-solving methods combining DIKWP model and classic TRIZ
Purpose driven Integration of data, information, knowledge, and wisdom Invention and creation methods: DIKWP-TRIZ
(Chinese people's own original invention and creation methods:DIKWP - TRIZ)
The Evolution of Individual and Global Artificial Consciousness
Yucong Duan, 
Shiming Gong
DIKWP-AC Artificial Consciousness Laboratory
AGI-AIGC-GPT Evaluation DIKWP (Global) Laboratory
World Association of Artificial Consciousness
(Email：duanyucong@hotmail.com)
Catalogue
2 Changes in scientific research paradigm under Brain-Machine Interface technology
2.1 Direct communication of ideas
2.2 Enhanced cognitive ability
3 Evolution of individual consciousness and global consciousness
3.1 Enhancement of individual consciousness
3.2 Redefinition of the relationship between individuals and groups
3.3 The formation of a global awareness network
3.4 Diversity of individual identity
4 Challenges and coping strategies
4.1 Social inequality and individual consciousness enhancement
4.2 Formation of global awareness network and data security
4.3 Cultural diversity and individual identity
This report deeply discusses the great impact of the development of Artificial Consciousness technology on the evolution of individual consciousness and global consciousness. Firstly, the subversive impact of Brain-Machine Interface technology is reviewed, and then the enhancement of individual consciousness, the redefinition of the relationship between individuals and groups, the formation of global consciousness network and the diversification of individual identity are discussed. Then, the possible challenges and risks are analyzed and discussed. Finally, the strategies to meet the challenges and the prospect of future development are put forward.
With the continuous progress of Artificial Intelligence technology, Artificial Consciousness has become one of the ultimate goals in the field of Artificial Intelligence. The development of Artificial Consciousness technology will not only affect individual cognitive ability and subjective experience, but also have a far-reaching impact on global consciousness. This report will deeply discuss the impact of Artificial Consciousness technology on future civilization from the aspects of Brain-Machine Interface technology, the enhancement of individual consciousness, the redefinition of the relationship between individuals and groups, the formation of global consciousness network and the diversification of individual identity.
2 Changes in scientific research paradigm under Brain-Machine Interface technology
The development of Brain-Machine Interface technology has brought subversive changes to scientific research and academic exchanges. This technology enables scientists to study ideas and achievements directly through thinking exchange, and also raises a series of new challenges and ethical issues.
2.1 Direct communication of ideas
Brain-Machine Interface technology enables scientists to directly study ideas and achievements through thinking exchange, and is no longer limited by traditional language or writing forms. This way of communication improves the efficiency and accuracy of academic communication and provides new possibilities for interdisciplinary research.
2.2 Enhanced cognitive ability
Using Brain-Machine Interface technology, researchers can expand their cognitive ability and improve their ability to process information and solve problems. This will help to accelerate the process of scientific discovery and promote interdisciplinary integration and innovation.
With the development of Brain-Machine Interface technology, personal thinking and cognitive data may become available, which leads to new challenges to data privacy and security. It is necessary to establish a strict legal and ethical framework to protect the security and privacy of personal data.
3 Evolution of individual consciousness and global consciousness
The development of Artificial Consciousness technology will have a great impact on the evolution of individual consciousness and global consciousness. The enhancement of individual consciousness, the redefinition of the relationship between individuals and groups, the formation of global consciousness network and the diversification of individual identity will present new characteristics.
3.1 Enhancement of individual consciousness
Through Artificial Consciousness technology, individual's cognitive ability and subjective experience may be enhanced. The enhancement of individual consciousness may lead individuals to pay more attention to the changes and development of their inner world, and to explore self-cognition and self-understanding more deeply.
3.2 Redefinition of the relationship between individuals and groups
Artificial Consciousness technology may redefine the relationship between individuals and groups. Through Brain-Machine Interface technology, individuals can realize direct thinking exchange and sharing, and strengthen the contact and interaction between individuals. This may lead to the change of human social structure and organizational form, and redefine the boundaries and interaction modes between individuals and groups.
3.3 The formation of a global awareness network
With the development of Artificial Consciousness technology, a global consciousness network may be gradually formed. This network will connect individual consciousness around the world, so that individuals can participate in global affairs and community building more directly. The formation of global awareness network may accelerate the solution of global problems and promote global cooperation and sharing.
3.4 Diversity of individual identity
Artificial Consciousness technology may lead to the diversification and complexity of individual identity. Through Brain-Machine Interface technology, individuals can communicate and share experiences with others more directly, and deepen their understanding and recognition of others and other cultures. This may promote cross-cultural communication and understanding and promote the development of human society in a more inclusive and diversified direction.
4 Challenges and coping strategies
Although the development of Artificial Consciousness technology brings great opportunities, it also faces a series of challenges and risks. First of all, the enhancement of individual consciousness may lead to inequality among individuals and aggravate social differentiation and inequality. Secondly, the formation of global consciousness network may lead to concealment.
4.1 Social inequality and individual consciousness enhancement
With the enhancement of individual consciousness, Artificial Consciousness technology may aggravate the inequality existing in society. Those individuals who can acquire and master this technology may have great advantages in cognitive ability and subjective experience, and form a gap with those who cannot obtain technical support. This gap may further aggravate social differentiation and cause unequal distribution of cognitive ability and resources.
In response to this challenge, society should adopt various coping strategies. First of all, the government and relevant institutions should formulate policies and regulations to ensure the fair access and use of Artificial Consciousness technology. This includes promoting the popularization and opening up of technology, lowering the threshold for technology acquisition, and ensuring that technology will not become a tool for social differentiation. Secondly, the society should strengthen the supervision and control of technology development to prevent technology from being abused or used to exploit and oppress individuals. At the same time, the society should strengthen the education and training of individuals, improve their cognitive ability and scientific literacy, and fundamentally narrow the cognitive gap between individuals.
4.2 Formation of global awareness network and data security
With the formation of global consciousness network, the exchange of ideas and information among individuals will become more direct and frequent. However, it also brings new challenges to data security and privacy protection. Personal thinking and cognitive data may be stolen or abused by criminals, resulting in serious personal privacy disclosure and information security problems.
In order to solve this challenge, society needs to strengthen the protection and management of individual data. First of all, the government and relevant institutions should establish sound data security laws and systems to regulate the collection, storage and use of personal data. This includes strengthening the research and development and application of data security technology to ensure that personal data will not be illegally obtained or tampered with. Secondly, the society should strengthen the cultivation of data security awareness, improve the vigilance of individuals against data leakage and abuse, and actively participate in the protection and management of personal data.
4.3 Cultural diversity and individual identity
The development of Artificial Consciousness technology may promote the thinking exchange and cultural exchange between individuals and deepen the understanding and recognition of others and other cultures. However, it may also lead to the diversification and complexity of individual identity and challenge the traditional cultural identity and social cohesion.
In order to meet this challenge, society needs to advocate inclusive and diversified cultural concepts and encourage individuals to actively participate in cross-cultural communication and understanding. At the same time, the society should strengthen the protection and promotion of cultural diversity and prevent the homogenization and dissolution of cultural identity. The government and relevant institutions should formulate policies and measures to protect the cultural rights and interests of ethnic minorities and vulnerable groups, and promote equal exchanges and symbiosis between different cultures.
The development of Artificial Consciousness technology will have a far-reaching impact on individual consciousness and global consciousness, and shape the development direction of future civilization. With the continuous progress and application of technology, human society will face more challenges and opportunities and need to work together to deal with and solve them.
In the future, we can foresee that Artificial Consciousness technology will be further developed and improved, and become an important extension and enhancement of human cognitive ability. The enhancement of individual consciousness will enable human beings to explore self-cognition and self-understanding more deeply and promote the development of human society in a more inclusive and diversified direction. The formation of global consciousness network will accelerate the solution of global problems, promote global cooperation and sharing, and push human society towards a more harmonious and prosperous future.
However, the development of Artificial Consciousness technology will also face many challenges and risks, which need the joint efforts of all sectors of society to solve. We need to formulate a sound legal and ethical framework to protect individual data security and privacy rights; Strengthen the supervision and control of technology development to prevent technology from being abused or used to exploit individuals; Advocate inclusive and diversified cultural concepts and promote cultural exchange and understanding among individuals. Only through joint efforts can we better cope with the challenges and opportunities brought by Artificial Consciousness technology and push human society towards a better future.
本报告深入探讨了人工意识技术的发展对个体意识与全球意识的演变所产生的重大影响。首先，回顾了脑机接口技术的颠覆性影响，然后探讨了个体意识的增强、个体与群体关系的重新定义、全球意识网络的形成以及个体认同的多样化等方面。然后，对可能面临的挑战和风险进行了分析和讨论。最后，提出了应对挑战的策略和未来发展的展望。
随着人工智能技术的不断进步，人工意识成为了人工智能领域的终极目标之一。人工意识技术的发展不仅会影响个体的认知能力和主观体验，还可能对全球意识产生深远影响。本报告将从脑机接口技术、个体意识的增强、个体与群体关系的重新定义、全球意识网络的形成以及个体认同的多样化等方面，深入探讨人工意识技术对未来文明的影响。
脑机接口技术的发展为科学研究和学术交流带来了颠覆性的变化。这项技术使得科学家能够直接通过思维交流研究想法和成果，同时也提出了一系列新的挑战和伦理问题。
脑机接口技术使科学家能够通过思维交流直接研究想法和成果，不再受限于传统的语言或书写形式。这种交流方式提高了学术交流的效率和精确性，为跨学科研究提供了新的可能性。
利用脑机接口技术，研究人员可以扩展自己的认知能力，提高处理信息和解决问题的能力。这有助于加速科学发现的过程，促进跨学科的融合和创新。
随着脑机接口技术的发展，个人的思维和认知数据可能会变得可获取，引发了对数据隐私和安全的新挑战。需要建立严格的法律和伦理框架来保护个人数据的安全和隐私。
人工意识技术的发展将对个体意识和全球意识的演变产生重大影响。个体意识的增强、个体与群体关系的重新定义、全球意识网络的形成以及个体认同的多样化等方面将呈现出新的特征。
通过人工意识技术，个体的认知能力和主观体验可能会得到增强。个体意识的增强可能会导致个体更加关注自身内在世界的变化和发展，以及更加深入地探索自我认知和自我理解。
人工意识技术可能重新定义个体与群体之间的关系。通过脑机接口技术，个体之间可以实现直接的思维交流和共享，加强个体之间的联系和互动。这可能导致人类社会结构和组织形式的变革，重新定义个体与群体之间的界限和互动模式。
随着人工意识技术的发展，全球意识网络可能会逐渐形成。这个网络将连接全球各地的个体意识，使得个体能够更直接地参与全球事务和共同体的建设。全球意识网络的形成可能会加速全球问题的解决，促进全球合作和共享。
人工意识技术可能会导致个体认同的多样化和复杂化。通过脑机接口技术，个体可以更直接地与他人交流和共享经验，深化对他人和其他文化的理解和认同。这可能会促进跨文化交流和理解，推动人类社会向着更加包容和多样化的方向发展。
人工意识技术的发展虽然带来了巨大的机遇，但也面临着一系列挑战和风险。首先，个体意识的增强可能导致个体之间的不平等，加剧社会分化和不平等现象。其次，全球意识网络的形成可能会引发隐
随着个体意识的增强，人工意识技术可能会加剧社会中存在的不平等现象。那些能够获得并掌握这项技术的个体可能会在认知能力和主观体验上拥有巨大优势，与那些无法获得技术支持的人形成差距。这种差距可能会进一步加剧社会的分化，造成认知能力和资源的不平等分配。
针对这一挑战，社会应该采取多方面的应对策略。首先，政府和相关机构应该制定政策和法规，确保人工意识技术的公平获取和使用。这包括推动技术的普及和开放，降低技术获取的门槛，确保技术不会成为社会分化的工具。其次，社会应该加强对技术发展的监管和控制，防止技术被滥用或用于剥削和压迫个体。同时，社会应该加强对个体的教育和培训，提高个体的认知能力和科学素养，从根本上缩小个体之间的认知差距。
随着全球意识网络的形成，个体之间的思维交流和信息共享将变得更加直接和频繁。然而，这也带来了数据安全和隐私保护的新挑战。个人的思维和认知数据可能会被不法分子窃取或滥用，造成严重的个人隐私泄露和信息安全问题。
为了解决这一挑战，社会需要加强对个体数据的保护和管理。首先，政府和相关机构应该建立健全的数据安全法律和制度，规范个人数据的收集、存储和使用。这包括加强对数据安全技术的研发和应用，确保个人数据不会被非法获取或篡改。其次，社会应该加强对数据安全意识的培养，提高个体对数据泄露和滥用的警惕性，积极参与个人数据的保护和管理。
人工意识技术的发展可能会促进个体之间的思维交流和文化交流，加深对他人和其他文化的理解和认同。然而，这也可能导致个体认同的多样化和复杂化，挑战传统的文化认同和社会凝聚力。
为了应对这一挑战，社会需要倡导包容性和多元化的文化观念，鼓励个体积极参与跨文化交流和理解。同时，社会应该加强对文化多样性的保护和促进，防止文化认同的同质化和消解。政府和相关机构应该制定政策和措施，保护少数民族和弱势群体的文化权益，促进不同文化之间的平等交流和共生共荣。
人工意识技术的发展将对个体意识和全球意识产生深远影响，塑造未来文明的发展方向。随着技术的不断进步和应用，人类社会将面临更多挑战和机遇，需要共同努力应对和解决。
未来，我们可以预见人工意识技术将进一步发展和完善，成为人类认知能力的重要延伸和增强。个体意识的增强将使人类更加深入地探索自我认知和自我理解，推动人类社会向着更加包容和多样化的方向发展。全球意识网络的形成将加速全球问题的解决，促进全球合作和共享，推动人类社会迈向更加和谐与繁荣的未来。
然而，人工意识技术的发展也将面临诸多挑战和风险，需要社会各界共同努力加以解决。我们需要制定健全的法律和伦理框架，保护个体的数据安全和隐私权益；加强对技术发展的监管和控制，防止技术被滥用或用于剥削个体；倡导包容性和多元化的文化观念，促进个体之间的文化交流和理解。只有通过共同努力，我们才能更好地应对人工意识技术带来的挑战和机遇，推动人类社会迈向更加美好的未来。
[1] Duan Y. Which characteristic does GPT-4 belong to? An analysis through DIKWP model. DOI: 10.13140/RG.2.2.25042.53447. https://www.researchgate.net/publication/375597900_Which_characteristic_does_GPT-4_belong_to_An_analysis_through_DIKWP_model_GPT-4_shishenmexinggeDIKWP_moxingfenxibaogao. 2023.
[2] Duan Y. DIKWP Processing Report on Five Personality Traits. DOI: 10.13140/RG.2.2.35738.00965. https://www.researchgate.net/publication/375597092_wudaxinggetezhide_DIKWP_chulibaogao_duanyucongYucong_Duan. 2023.
[3] Duan Y. Research on the Application of DIKWP Model in Automatic Classification of Five Personality Traits. DOI: 10.13140/RG.2.2.15605.35047. https://www.researchgate.net/publication/375597087_DIKWP_moxingzaiwudaxinggetezhizidongfenleizhongdeyingyongyanjiu_duanyucongYucong_Duan. 2023.
[4] Duan Y, Gong S. DIKWP-TRIZ method: an innovative problem-solving method that combines the DIKWP model and classic TRIZ. DOI: 10.13140/RG.2.2.12020.53120. https://www.researchgate.net/publication/375380084_DIKWP-TRIZfangfazongheDIKWPmoxinghejingdianTRIZdechuangxinwentijiejuefangfa. 2023.
[5] Duan Y. The Technological Prospects of Natural Language Programming in Large-scale AI Models: Implementation Based on DIKWP. DOI: 10.13140/RG.2.2.19207.57762. https://www.researchgate.net/publication/374585374_The_Technological_Prospects_of_Natural_Language_Programming_in_Large-scale_AI_Models_Implementation_Based_on_DIKWP_duanyucongYucong_Duan. 2023.
[6] Duan Y. The Technological Prospects of Natural Language Programming in Large-scale AI Models: Implementation Based on DIKWP. DOI: 10.13140/RG.2.2.19207.57762. https://www.researchgate.net/publication/374585374_The_Technological_Prospects_of_Natural_Language_Programming_in_Large-scale_AI_Models_Implementation_Based_on_DIKWP_duanyucongYucong_Duan. 2023.
[7] Duan Y. Exploring GPT-4, Bias, and its Association with the DIKWP Model. DOI: 10.13140/RG.2.2.11687.32161. https://www.researchgate.net/publication/374420003_tantaoGPT-4pianjianjiqiyuDIKWPmoxingdeguanlian_Exploring_GPT-4_Bias_and_its_Association_with_the_DIKWP_Model. 2023.
[8] Duan Y. DIKWP language: a semantic bridge connecting humans and AI. DOI: 10.13140/RG.2.2.16464.89602. https://www.researchgate.net/publication/374385889_DIKWP_yuyanlianjierenleiyu_AI_deyuyiqiaoliang. 2023.
[9] Duan Y. The DIKWP artificial consciousness of the DIKWP automaton method displays the corresponding processing process at the level of word and word granularity. DOI: 10.13140/RG.2.2.13773.00483. https://www.researchgate.net/publication/374267176_DIKWP_rengongyishide_DIKWP_zidongjifangshiyiziciliducengjizhanxianduiyingdechuliguocheng. 2023.
[10] Duan Y. Implementation and Application of Artificial wisdom in DIKWP Model: Exploring a Deep Framework from Data to Decision Making. DOI: 10.13140/RG.2.2.33276.51847. https://www.researchgate.net/publication/374266065_rengongzhinengzai_DIKWP_moxingzhongdeshixianyuyingyongtansuocongshujudaojuecedeshendukuangjia_duanyucongYucong_Duan. 2023.
Data can be regarded as a concrete manifestation of the same semantics in our cognition. Often, Data represents the semantic confirmation of the existence of a specific fact or observation, and is recognised as the same object or concept by corresponding to some of the same semantic correspondences contained in the existential nature of the cognitive subject's pre-existing cognitive objects. When dealing with data, we often seek and extract the particular identical semantics that labels that data, and then unify them as an identical concept based on the corresponding identical semantics. For example, when we see a flock of sheep, although each sheep may be slightly different in terms of size, colour, gender, etc., we will classify them into the concept of "sheep" because they share our semantic understanding of the concept of "sheep". The same semantics can be specific, for example, when identifying an arm, we can confirm that a silicone arm is an arm based on the same semantics as a human arm, such as the same number of fingers, the same colour, the same arm shape, etc., or we can determine that the silicone arm is not an arm because it doesn't have the same semantics as a real arm, which is defined by the definition of "can be rotated". It is also possible to determine that the silicone arm is not an arm because it does not have the same semantics as a real arm, such as "rotatable".
Information, on the other hand, corresponds to the expression of different semantics in cognition. Typically, Information refers to the creation of new semantic associations by linking cognitive DIKWP objects with data, information, knowledge, wisdom, or purposes already cognised by the cognising subject through a specific purpose. When processing information, we identify the differences in the DIKWP objects they are cognised with, corresponding to different semantics, and classify the information according to the input data, information, knowledge, wisdom or purpose. For example, in a car park, although all cars can be classified under the notion of 'car', each car's parking location, time of parking, wear and tear, owner, functionality, payment history and experience all represent different semantics in the information. The different semantics of the information are often present in the cognition of the cognitive subject and are often not explicitly expressed. For example, a depressed person may use the term "depressed" to express the decline of his current mood relative to his previous mood, but this "depressed" is not the same as the corresponding information because its contrasting state is not the same as the corresponding information. However, the corresponding information cannot be objectively perceived by the listener because the contrasting state is not known to the listener, and thus becomes the patient's own subjective cognitive information.
Knowledge corresponds to the complete semantics in cognition. Knowledge is the understanding and explanation of the world acquired through observation and learning. In processing knowledge, we abstract at least one concept or schema that corresponds to a complete semantics through observation and learning. For example, we learn that all swans are white through observation, which is a complete knowledge of the concept "all swans are white" that we have gathered through a large amount of information.
Wisdom corresponds to information in the perspective of ethics, social morality, human nature, etc., a kind of extreme values from the culture, human social groups relative to the current era fixed or individual cognitive values. When dealing with Wisdom, we integrate this data, information, knowledge, and wisdom and use them to guide decision-making. For example, when faced with a decision-making problem, we integrate various perspectives such as ethics, morality, and feasibility, not just technology or efficiency.
Purpose can be viewed as a dichotomy (input, output), where both input and output are elements of data, information, knowledge, wisdom, or purpose. Purpose represents our understanding of a phenomenon or problem (input) and the goal we wish to achieve by processing and solving that phenomenon or problem (output). When processing purposes, the AI system processes the inputs according to its predefined goals (outputs), and gradually brings the outputs closer to the predefined goals by learning and adapting.
Yucong Duan, male, currently serves as a member of the Academic Committee of the School of Computer Science and Technology at Hainan University. He is a professor and doctoral supervisor and is one of the first batch of talents selected into the South China Sea Masters Program of Hainan Province and the leading talents in Hainan Province. He graduated from the Software Research Institute of the Chinese Academy of Sciences in 2006, and has successively worked and visited Tsinghua University, Capital Medical University, POSCO University of Technology in South Korea, National Academy of Sciences of France, Charles University in Prague, Czech Republic, Milan Bicka University in Italy, Missouri State University in the United States, etc. He is currently a member of the Academic Committee of the School of Computer Science and Technology at Hainan University and he is the leader of the DIKWP (Data, Information, Knowledge, Wisdom, Purpose) Innovation Team at Hainan University, Distinguished Researcher at Chongqing Police College, Leader of Hainan Provincial Committee's "Double Hundred Talent" Team, Vice President of Hainan Invention Association, Vice President of Hainan Intellectual Property Association, Vice President of Hainan Low Carbon Economy Development Promotion Association, Vice President of Hainan Agricultural Products Processing Enterprises Association, Director of Network Security and Informatization Association of Hainan Province, Director of Artificial Intelligence Society of Hainan Province, Visiting Fellow, Central Michigan University, Member of the Doctoral Steering Committee of the University of Modena. Since being introduced to Hainan University as a D-class talent in 2012, He has published over 260 papers, included more than 120 SCI citations, and 11 ESI citations, with a citation count of over 4300. He has designed 241 serialized Chinese national and international invention patents (including 15 PCT invention patents) for multiple industries and fields and has been granted 85 Chinese national and international invention patents as the first inventor. Received the third prize for Wu Wenjun's artificial intelligence technology invention in 2020; In 2021, as the Chairman of the Program Committee, independently initiated the first International Conference on Data, Information, Knowledge and Wisdom - IEEE DIKW 2021; Served as the Chairman of the IEEE DIKW 2022 Conference Steering Committee in 2022; Served as the Chairman of the IEEE DIKW 2023 Conference in 2023. He was named the most beautiful technology worker in Hainan Province in 2022 (and was promoted nationwide); In 2022 and 2023, he was consecutively selected for the "Lifetime Scientific Influence Ranking" of the top 2% of global scientists released by Stanford University in the United States. Participated in the development of 2 international standards for IEEE financial knowledge graph and 4 industry knowledge graph standards. Initiated and co hosted the first International Congress on Artificial Consciousness (AC2023) in 2023.
Prof. Yucong Duan
DIKWP-AC Artificial Consciousness Laboratory
AGI-AIGC-GPT Evaluation DIKWP (Global) Laboratory
DIKWP research group, Hainan University
duanyucong@hotmail.com
https://blog.sciencenet.cn/blog-3429562-1422018.html
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