top of page

The AI Era: The Rise or Erosion of Personal Consciousness?

With the rapid development of artificial intelligence (AI), we have entered a new era characterized by machines that can simulate and even surpass human cognitive abilities. The proliferation of AI has profoundly impacted various aspects of society, from changing the way we work to influencing interpersonal interactions. However, behind these changes, we must address a deeper question: Is the development of AI gradually eroding our personal consciousness?


The origin of artificial intelligence (AI) can be traced back to the mid-20th century, though the dream of creating intelligent machines dates back to ancient civilizations. The formal foundation for AI as a scientific discipline, however, was laid in the 1940s and 1950s through the work of pioneers who explored the potential of machines to simulate human intelligence.

Early Concepts and Theoretical Work

Alan Turing

  • Alan Turing (1950): Alan Turing, a British mathematician and logician, is often considered the father of computer science and AI. In 1950, he published a seminal paper titled "Computing Machinery and Intelligence," introducing the Turing Test as a criterion of intelligence. This test evaluates a machine's ability to exhibit intelligent behavior equivalent to, or indistinguishable from, that of a human.

John McCarthy

  • John McCarthy (1956): John McCarthy, an American computer scientist, is credited with coining the term "Artificial Intelligence" in 1956. He, along with Marvin Minsky, Claude Shannon, and Nathan Rochester, organized the Dartmouth Conference in the summer of 1956. This conference is widely considered the birth of AI as an independent field of study. The proposal for the conference stated their belief that "every aspect of learning or any other feature of intelligence can in principle be so precisely described that a machine can be made to simulate it."

Early Developments and Research

In 1956, John McCarthy, Marvin Minsky, and Claude Shannon jointly initiated and organized a specialized seminar on simulating human intelligence with machines, marking the birth of the discipline of artificial intelligence.

Subsequently, the world's first artificial intelligence laboratory—the MIT Artificial Intelligence Lab—was created at the Massachusetts Institute of Technology, propelling AI research into a substantial phase.

The Dartmouth Conference kicked off a wave of optimism and funding for AI research. Early efforts focused on symbolic approaches, such as logic and search algorithms, to solve problems and simulate human intelligence. Key achievements from this era include:

  • Logic Theorist (1955-1956): Developed by Allen Newell, Cliff Shaw, and Herbert A. Simon, this was the first AI program, which proved mathematical theorems.

  • ELIZA (1964-1966): Created by Joseph Weizenbaum, ELIZA was an early natural language processing computer program that demonstrated the superficiality of communication between humans and machines.

  • Shakey the Robot (late 1960s): Developed by researchers at the Stanford Research Institute, Shakey was the first general-purpose mobile robot to be able to reason about its own actions.

Expansion and Evolution

Throughout the 1970s and 1980s, AI research expanded into areas such as knowledge-based systems, which led to the development of expert systems designed to mimic the decision-making abilities of human experts. However, the field also experienced periods of reduced funding and interest, known as "AI winters," due to overly optimistic predictions that failed to materialize.

After years of development, artificial intelligence has gradually become a generic term used to describe a variety of different technologies and algorithms, such as machine learning, natural language processing, data mining, and neural networks, with its application scope also expanding increasingly.

In recent decades, the advent of machine learning and deep learning, along with exponential increases in computational power and data availability, has led to significant advancements in AI. These technologies have enabled breakthroughs in areas such as computer vision, natural language processing, and autonomous vehicles, marking a new era of AI applications and research.


The imperative for intelligentization in the evolution of modern society and the mechanisms of governance is becoming increasingly apparent. As societies grapple with the complexities of the 21st century, the integration of advanced intelligent technologies—such as artificial intelligence, the Internet of Things, and machine learning—plays a pivotal role in enhancing efficiency, spurring economic growth, and improving the quality of life for citizens.

In the realm of governance, these technologies offer unprecedented opportunities for more informed policy-making, streamlined public services, and effective social management. However, this transition towards an intelligently integrated society also necessitates careful consideration of ethical, privacy, and social equity issues to ensure that the benefits of intelligentization are accessible to all and that they foster a sustainable, inclusive future. The journey towards intelligentization, therefore, is not just a technological endeavor but a comprehensive societal shift that requires thoughtful governance and a commitment to overcoming the global challenges of our times.


In modern society, the rapid development of artificial intelligence (AI) has ushered in an era of unprecedented technological advancement, bringing about profound changes in various sectors. However, this progress also poses significant challenges to human self-cognition, leading to what can be described as a crisis of self-awareness. This crisis is characterized by a growing dichotomy between human cognitive capabilities and the increasingly sophisticated abilities of AI systems.

As AI technologies become more integrated into our daily lives, from smart assistants to decision-making algorithms, they begin to influence and reshape our perceptions, decisions, and interactions. One of the core aspects of this crisis is the diminishing autonomy in human decision-making. As we increasingly rely on AI for recommendations and choices, there's a blurring of the lines between human-driven decisions and those influenced or made by machines. This raises fundamental questions about the nature of free will and individuality in the age of AI.

Moreover, the crisis extends to our understanding of identity and the uniqueness of human intelligence. As AI systems demonstrate capabilities that rival or even surpass human skills in certain areas, it challenges our perception of what it means to be human. This scenario is further complicated by issues such as data privacy, algorithmic biases, and the ethical implications of AI, which impact our moral and ethical frameworks.

The loss of human self-awareness in the era of artificial intelligence can be manifested in several aspects:

1. Diminished Autonomy in Decision-Making: As artificial intelligence permeates daily life through recommendation systems, automated decision-making tools, etc., people may become overly dependent on technology for making choices, thus reducing personal decision-making processes and independent thinking.

2. Weakened Individuality and Independence: AI's big data analysis often focuses on group behavior patterns, which can lead to the neglect of individual uniqueness and personalized needs, diminishing the space for personal expression.

3. Blurred Self-Perception: Advances in AI's ability to mimic and extend human behaviors and thought patterns may lead people to question what constitutes “genuine” human actions, blurring the boundaries of self-awareness.

4. Changes in Social Interactions: The prevalence of social media and online communication platforms, along with AI-driven virtual interactions, may alter human social habits and communication methods, affecting the depth and quality of interpersonal relationships.

5. Overreliance on Technology: Under the guidance of AI, people might place excessive trust in the information and solutions provided by technology, leading to a reduction in critical analysis of information and consequently impacting the ability to think and judge independently.

6. Moral and Ethical Challenges: The application of AI poses new challenges in morals and ethics, such as machine bias and data privacy issues. These challenges can affect people's understanding and judgment of right and wrong.

In summary, in the era of artificial intelligence, the loss of human self-awareness is primarily reflected in the diminished autonomy in decision-making, weakened individuality and independence, blurred self-perception, changes in social interactions, overreliance on technology, and moral and ethical challenges. These changes require us to be aware of the profound impacts that can come with the conveniences provided by AI.


In the age of artificial intelligence (AI), the human self-crisis represents a complex challenge, encompassing issues of identity, autonomy, and ethical dilemmas. This crisis is driven by the rapid advancement of AI technologies that are reshaping the fabric of society, altering how we interact, make decisions, and perceive our role in the world. The ways to respond to this crisis involve a multi-dimensional approach that balances technological integration with human-centric values and practices.

Here are some key strategies:

  • Education and Critical Thinking: Promoting education that emphasizes critical thinking is fundamental. This enables individuals to analyze information critically, make informed decisions, and understand the consequences of their actions. Education should not only focus on technical skills but also on humanities and social sciences to provide a well-rounded perspective.

  • Ethical Frameworks and Moral Education: Developing and adhering to strong ethical frameworks is crucial. This includes understanding and respecting human rights, promoting values like fairness, justice, and respect for others. Moral education can help individuals navigate complex ethical dilemmas, especially those arising from technological advancements.

  • Promoting Open Dialogue and Inclusivity: Encouraging open and inclusive dialogues on issues affecting society allows for diverse perspectives and fosters a culture of understanding and tolerance. This approach helps in addressing biases and ensuring that decisions are made considering the wider societal impact.

  • Regulatory Oversight and Legal Frameworks: Implementing effective regulatory frameworks that balance innovation with public interest is essential. Regulations should protect individual rights, ensure privacy, and prevent abuses, while also encouraging positive technological advancements.

  • Fostering Autonomy and Personal Responsibility: Encouraging individuals to take responsibility for their actions and to understand the impact of their decisions on others and the environment is key. Autonomy should be coupled with an awareness of the broader social context and one's responsibilities within it.

  • Encouraging Technological Literacy: In a world increasingly driven by technology, understanding the basics of how technologies like AI work and their societal implications is important. This literacy empowers individuals to participate actively and responsibly in a technologically advanced society.

  • Support for Mental and Emotional Well-being: Rational liberty also involves the ability to make decisions free from undue stress, anxiety, or other mental health challenges. Supporting mental and emotional well-being through healthcare, community support, and healthy work-life balance is vital.

  • Sustainable Development and Environmental Stewardship: Rational liberty must also consider the long-term impact of decisions on the environment. Sustainable development practices ensure that the pursuit of liberty today does not compromise the ability of future generations to achieve their own liberty.

In summary, achieving rational liberty is about balancing individual freedoms with social responsibility, ethical considerations, and sustainable practices. It requires a collaborative effort from educational institutions, governments, communities, and individuals to create an environment that fosters informed, ethical, and responsible decision-making.

In the opening of Laozi's "Tao Te Ching," there is a phrase, "常有欲以观其徼" which instructs learners to observe the world's operational laws with their own thoughts and perspectives. It emphasizes the importance of bringing one's knowledge and thoughts, and observing from a specific position how "Tao" drives the operation of all things.

In the face of the cultural diversity and temporal freedom brought by the era of artificial intelligence, the human subject's response to this era's technological imperative - the necessary value rationality - is a manifestation of an action philosophy formed after critical thinking and rational choices. It also represents a control and utilization of one's energy with intention, a step towards a higher state of existence for "humans".


Disclaimer: The information provided on this website is offered strictly on an “as is” and “as available” basis. By accessing and using this information, you acknowledge and agree that such use is entirely at your own risk. Monisight explicitly disclaims any warranties, either express or implied, regarding the website's information accuracy, reliability, or completeness. We assume no responsibility or liability for any errors or omissions in the content of this website.

Monisight will not be liable for any form of loss or damage arising out of or in connection with the use of this website. This includes, but is not limited to, any direct or indirect financial loss, business interruption, loss of data, or any other loss resulting from your use of, or inability to use, this website, any linked websites, or reliance on any information or materials provided herein. This limitation of liability applies even if Monisight has been expressly advised of the potential loss.

Users should exercise caution and look at the privacy statement applicable to the website in question. Remember that no internet transmission is ever completely secure or error-free. Therefore, while we strive to protect your personal information, Monisight cannot guarantee the security of any information you transmit to us, and you do so at your own risk.


Rated 0 out of 5 stars.
No ratings yet

Add a rating
bottom of page