The true risks of generative AI, which should be more worrisome than the extinction of mankind

人工進化研究所（AERI）

Jul 3, 20235 min read

Professor Kamuro's near-future science predictions:

The true risks of generative AI, which should be more worrisome than the extinction of mankind

Quantum Physicist and Brain Scientist

Visiting Professor of Quantum Physics,

California Institute of Technology

IEEE-USA Fellow

American Physical Society-USA Fellow

PhD. & Dr. Kazuto Kamuro

AERI：Artificial Evolution Research Institute

Pasadena, California

HP: https://www.aeri-japan.com/

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In this session, prof. KAMURO would like to discuss a topic of great significance and concern: the true risks of generative artificial intelligence (AI). While popular discussions often revolve around doomsday scenarios like the "extinction of mankind," it is important to delve deeper and examine the risks from various perspectives, including the academic, engineering, industrial, legal, economic, and military angles.

1. Academic:

In academia, generative AI poses the risk of eroding the fundamental principles of research and scholarship. With AI capable of generating convincing content, distinguishing between original human work and AI-generated work becomes increasingly difficult. This raises concerns about plagiarism, academic integrity, and the credibility of scholarly publications. Maintaining academic rigor and ensuring transparent authorship become critical challenges in this era of generative AI.

From an academic standpoint, the risks of generative AI lie in the potential misuse or unintended consequences of these systems. As AI algorithms become more sophisticated, they may exhibit biases, reinforce stereotypes, or generate content that is misleading, unethical, or harmful. Maintaining transparency, accountability, and ethical guidelines in AI research and development becomes crucial to mitigate these risks.

2. Engineering:

From an engineering standpoint, there are several risks associated with generative AI. These systems learn from vast amounts of data, and if the training data is biased, the AI algorithms may perpetuate and amplify those biases. This can lead to discriminatory outcomes in areas such as hiring, lending, or criminal justice. Engineers must be vigilant in identifying and addressing biases to prevent the perpetuation of unfair and discriminatory practices through AI systems.

Generative AI systems are designed to generate content autonomously, often based on training data. However, there is a concern that such systems may produce fraudulent or manipulated information, leading to the spread of disinformation and deepfakes. It becomes imperative for engineers to develop robust mechanisms to detect and counteract these manipulations to preserve trust in digital media and information sources.

3. Industrial:

Generative AI has significant implications for various industries, including creative sectors. While AI can enhance creativity and productivity, it also presents risks such as copyright infringement and intellectual property violations. The ease with which AI systems can replicate existing works raises concerns about originality, ownership, and fair compensation for artists, writers, and creators. Striking a balance between innovation and protecting intellectual property becomes a crucial challenge.

In industrial settings, generative AI has the potential to disrupt various sectors, including creative industries. While this can bring about innovation and efficiency, there is a risk of job displacement and economic inequality. The automation of tasks traditionally performed by humans could lead to unemployment and social upheaval, necessitating measures such as reskilling programs and social safety nets to address these concerns.

4. Legal:

The legal landscape surrounding generative AI is intricate and evolving. Determining liability for AI-generated content, establishing ownership rights, and regulating the use of AI systems are pressing concerns. AI-generated deepfakes, for instance, can cause reputational damage, privacy violations, and even incite social unrest. Legal frameworks must adapt to address these risks, ensuring accountability, protecting individual rights, and safeguarding societal well-being.

The legal implications of generative AI are complex. Intellectual property rights and copyright infringement become major challenges when AI-generated content blurs the lines of authorship. Determining liability and accountability for AI-generated actions or decisions also raises legal questions. Legislation and regulations must be adapted to address these novel challenges and protect the rights and interests of individuals and businesses.

5. Economic:

The rise of generative AI can have significant economic ramifications. While it can streamline processes, improve productivity, and create new opportunities, it may also lead to job displacement and exacerbate income inequality. Industries that successfully adopt AI may consolidate power and wealth, leaving certain individuals or communities behind. Ensuring equitable distribution of benefits, providing reskilling opportunities, and addressing potential job losses are critical aspects to consider.

The rise of generative AI may contribute to economic disparities. Industries that can harness the power of AI may consolidate power and wealth, leaving smaller businesses and marginalized communities at a disadvantage. Furthermore, the economic implications of widespread job automation can disrupt labor markets, exacerbating inequality and posing challenges for social welfare systems.

6. Military:

Generative AI in military applications introduces a range of risks. Autonomous weapons powered by AI can act independently, leading to the potential for unintended casualties and the erosion of ethical boundaries in warfare. Additionally, the arms race in AI technologies among nations raises concerns about the destabilization of global security and the potential for misuse or escalation of conflicts. International cooperation, ethical guidelines, and responsible use of AI in military contexts become imperative.

From a military standpoint, generative AI presents both opportunities and risks. AI-powered autonomous weapons could revolutionize warfare, but the lack of human control raises ethical concerns and the potential for unintended consequences. There is a need for international agreements and regulations to prevent the escalation of conflicts and ensure responsible use of AI in military contexts.

In conclusion, while the notion of the "extinction of humanity" garners attention, it is vital to focus on the real risks of generative AI. By examining the academic, engineering, industrial, legal, economic, and military dimensions, we can address these challenges proactively. It is through responsible development, robust regulations, and ethical frameworks that we can harness the potential of generative AI while mitigating the risks and ensuring a safer and more equitable future for humanity.

While the "extinction of mankind" may be an extreme and sensationalized narrative surrounding AI, it is crucial to focus on the true risks of generative AI from various perspectives. By considering the academic, engineering, industrial, legal, economic, and military aspects, we can foster responsible development, deployment, and governance of AI technologies, mitigating potential harms and maximizing the benefits for humanity.

END

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Quantum Brain Chipset & Bio Processor (BioVLSI)

Prof. PhD. Dr. Kamuro

Quantum Physicist and Brain Scientist involved in Caltech & AERI Associate Professor and Brain Scientist in Artificial Evolution Research Institute（ AERI: https://www.aeri-japan.com/ ）

IEEE-USA Fellow

American Physical Society Fellow

PhD. & Dr. Kazuto Kamuro

https://www.aeri-japan.com

email: info@aeri-japan.com

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【Keywords】　Artificial Evolution Research Institute：AERI

HP： https://www.aeri-japan.com/

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