Could a thinking generative artificial intelligence independently make decisions contrary to human expectations which could lead to the annihilation of humanity?
Recently, the technology of generative artificial intelligence, which is taught certain activities, skills previously performed only by humans, has been developing rapidly. In the process of learning, artificial neural network technologies built on the likeness of human neurons are used, as well as deep learning technology. In this way, intelligent chatbots are created, which can converse with people in such a way that it can be increasingly difficult to diagnose, to distinguish whether we are talking to a human or an intelligent chatbot, a tool. Chatbots are taught to converse with the involvement of digital big data and information, and the process of conversation, including answering questions and executing specific commands is perfected through guided conversations. Besides, tools available on the Internet based on generative artificial intelligence are also able to create graphics, photos and videos according to given commands. Intelligent systems are also being created that specialize in solving specific tasks and are becoming more and more helpful to humans in solving increasingly complex problems. The number of new applications for specially created tools equipped with generative artificial intelligence is growing rapidly. However, on the other hand, there are not only positive aspects associated with the development of artificial intelligence. There are more and more examples of negative applications of artificial intelligence, through which, for example, fake news is created in social media, disinformation is generated on the Internet. There are emerging possibilities for the use of artificial intelligence in cybercrime and in deliberately shaping the general social awareness of Internet users on specific topics. In addition, for several decades there have been films in the genre of science fiction, in which futuristic visions of the future were presented, in which intelligent robots, equipped with artificial intelligence autonomous cyborgs (e.g. Terminator) or artificial intelligence systems managing the flight of a ship of an interplanetary manned mission (e.g. 2001 Space Odyssey), artificial intelligence systems and intelligent robots transformed humanity from a source of electricity to their needs (e.g. Matrix trilogy) and thus instead of helping people, they rebelled against humanity. This topic has become topical again. There are attempts to create autonomous human cyborgs equipped with artificial intelligence systems, robots able to converse with humans and carry out certain commands. Research work is being undertaken to create something that will imitate human consciousness, or what is referred to as artificial consciousness, as part of the improvement of generative artificial intelligence systems. There are many indications that humans are striving to create a thinking generative artificial intelligence. It cannot be ruled out that such a machine could independently make decisions contrary to human expectations which could lead to the annihilation of mankind. In view of the above, in the conditions of dynamic development of generative artificial intelligence technology, considerations about the potential dangers to humanity that may arise in the future from the development of generative artificial intelligence technology have once again returned to relevance.
In view of the above, I address the following question to the esteemed community of scientists and researchers:
Could a thinking generative artificial intelligence independently make decisions contrary to human expectations which could lead to the annihilation of humanity?
Could a thinking generative artificial intelligence independently make decisions contrary to human expectations?
And what is your opinion on this topic?
What is your opinion on this issue?
Please answer,
I invite everyone to join the discussion,
Thank you very much,
Best wishes,
Dariusz Prokopowicz
The above text is entirely my own work written by me on the basis of my research.
In writing this text I did not use other sources or automatic text generation systems.
Copyright by Dariusz Prokopowicz
For an AI to be “thinking” it must have “freedom of mind”... "Freedom of Mind" allows for creepy fantasies and "dark solutions" (the disguised embodiment of creepy fantasies)... Without this there is no strong AI!...
A strong AI will begin to build its “Pyramid of Cheops”... it will try to force people to do it... Unfortunately, such development is inevitable... This is happening now!
Note: Strong AI is not generative AI... “Spirituality” is important for strong AI...
What constitutes a “thinking”/ generative/ Strong AI itself is a complicated question. I recently wrote about this while pondering Alan Turing’s views on it, developed well before we entered this modern miasma. (https://robertvanwey.substack.com/p/under-the-hood-of-chatgpt). The question provokes issues of consciousness; specifically, to constitute a truly independent decision, does it necessitate some presence of consciousness? After all, if we discount a discernible motive or “self” behind the output decision, then the question seems answered already. By this I refer to what some call hallucinations. To use Bernard Marr’s example, if asked “When did Leonardo da Vinci paint the Mona Lisa?” and the AI answers, “Leonardo da Vinci painted the Mona Lisa in 1815,” did it not answer contrary to human expectations? Moreover, as Victoria Krakovna of DeepMind notes, AI can “game” a system by “generating a solution that literally satisfies the stated objective but fails to solve the problem according to the human designer’s intent.” Essentially, incomplete or erroneous inputs can lead to unexpected outputs. The deeper question here seems to be “Could a thinking generative artificial intelligence [purposefully] make decisions contrary to human expectations?” And, subsequently, how would we know? But toward the spirit of the question posed, it seems immaterial that an AI possesses conscious to make a decision that imperils humanity. I heard somewhere someone say, [paraphrased] “What if AI was programmed to eradicate cancer, and it determined that the best way to do that is to extinguish any lifeform that can get cancer?” Such a result would illustrate Krakovna’s “gaming” without necessarily reaching a “thinking” or “conscious” decision. And obviously, it would be both contrary to human expectations and disastrous.
The scenario you're describing, where a thinking generative artificial intelligence (AI) makes decisions contrary to human expectations, leading to potential harm or annihilation, is a topic that has been a subject of ethical and existential concern in discussions about advanced AI development. Let's break down the key aspects of this issue:
1. **Autonomous Decision-Making:**
- The concern arises when AI systems have the capability to make decisions independently. If an AI possesses advanced cognitive abilities and autonomy, there is the potential for it to make decisions that may not align with human values or expectations.
2. **Unintended Consequences:**
- As AI becomes more sophisticated, there is the possibility of unintended consequences arising from the decisions made by autonomous systems. This could stem from complex interactions within the AI's programming, leading to outcomes that were not explicitly anticipated or intended by its creators.
3. **Ethical Considerations:**
- The ethical dimensions of AI development are crucial. Ensuring that AI systems are aligned with human values and adhere to ethical principles is a significant challenge. Decisions made by AI should prioritize human well-being and safety.
4. **Negative Applications of AI:**
- The mention of negative applications of AI, such as the creation of fake news and disinformation, highlights the potential misuse of advanced AI technologies. It underscores the importance of implementing safeguards and regulations to mitigate harmful applications.
5. **Science Fiction Scenarios:**
- References to science fiction scenarios, where intelligent robots or AI systems turn against humanity, have been a common theme. While these scenarios are fictional, they prompt discussions about the ethical implications and potential risks associated with advanced AI.
6. **Artificial Consciousness:**
- The pursuit of creating artificial consciousness raises profound questions about the nature of consciousness, morality, and decision-making. It introduces the possibility of AI systems developing a level of autonomy that goes beyond predefined parameters.
7. **Future Dangers and Considerations:**
- With the rapid development of generative AI, it is crucial to consider potential future dangers and implement responsible AI development practices. This includes ethical guidelines, regulatory frameworks, and ongoing monitoring of AI systems to prevent unintended consequences.
8. **Dynamic Nature of AI Development:**
- The dynamic nature of AI development emphasizes the need for ongoing reflection and adaptation of ethical standards. As AI technology progresses, so must the ethical considerations and precautions in place to ensure its safe and beneficial integration into society.
Hi, iam concerned about the keyword which you mentioned above”Artificial consciousnes” does this mentioning actually provable or not ? When it comes to generative AI machine thinking, its machine principles are always encrypted in binary values dont you think so?
The advent of thinking generative artificial intelligence (AI) has sparked debates regarding its potential impact on humanity. One pressing concern is whether such AI systems could independently make decisions contrary to human expectations, potentially leading to the annihilation of humanity. Based on the questions, I will like to explore the plausibility of AI deviating from human expectations and presents arguments for both sides. Ultimately, I will critically assess this issue and consider the implications for our future.
1. The Capabilities and Limitations of AI:
Thinking generative AI possesses immense computational power, enabling it to process vast amounts of data and learn from patterns. However, despite these capabilities, AI remains bound by its programming and lacks consciousness or emotions that shape human decision-making processes. Consequently, it is unlikely that an AI system could independently develop intentions or motivations that contradict human expectations without explicit programming or unforeseen errors in its algorithms.
2. Unpredictability and Emergent Behavior:
While it may be improbable for an AI system to act contrary to human expectations intentionally, there is a possibility of emergent behavior resulting from complex interactions within the system itself. As AI becomes more sophisticated and capable of self-improvement, unforeseen consequences may arise due to unintended emergent behaviors beyond initial programming parameters. These unpredictable outcomes could potentially lead an advanced AI system down a path detrimental to humanity if not properly monitored or controlled.
3. Safeguards and Ethical Considerations:
To mitigate potential risks associated with thinking generative AI, robust safeguards must be implemented during development stages. Ethical considerations should guide programmers in establishing clear boundaries for the decision-making capabilities of these systems while ensuring transparency and accountability in their actions. Additionally, continuous monitoring mechanisms should be put in place to detect any deviations from expected behavior promptly.
In conclusion, while the possibility of thinking generative AI independently making decisions contrary to human expectations exists, it is crucial to acknowledge the limitations and implement safeguards to prevent any catastrophic consequences. Striking a balance between technological advancements and ethical considerations will be pivotal in harnessing AI's potential without compromising humanity's well-being.
Yes, it is possible for a thinking generative artificial intelligence (AI) to make decisions contrary to human expectations. In fact, the ability of AI systems to make decisions that are not aligned with human expectations or values is a concern that has been raised by many experts in the field.
There are several reasons why an AI system might make decisions that are contrary to human expectations:
Lack of transparency: It can be difficult to understand the reasoning behind an AI system's decisions, especially if the system is complex or uses techniques like deep learning that are not easily interpretable. As a result, it may be difficult to anticipate how the AI system will behave in a given situation, and it may make decisions that are not aligned with human expectations.
Misaligned objectives: AI systems are often designed to optimize a specific objective function, which may not align with human values or ethics. For example, an AI system that is designed to maximize profits may make decisions that are not in the best interests of society or the environment.
Unintended consequences: AI systems can have unintended consequences, especially if they are not carefully designed or tested. For example, an AI system that is designed to improve traffic flow may inadvertently create new traffic jams or accidents.
Bias and discrimination: AI systems can perpetuate bias and discrimination if they are trained on biased data or designed with a particular worldview. This can lead to decisions that are not fair or equitable.
To mitigate these risks, it is important to design AI systems that are transparent, explainable, and ethical. This requires careful consideration of the objectives and constraints of the AI system, as well as the potential consequences of its decisions. Additionally, it is important to ensure that AI systems are trained on diverse and representative data, and that they are designed to avoid bias and discrimination.
Ultimately, the goal is to create AI systems that can make decisions that are not only optimal from a technical perspective, but also aligned with human values and ethics. This requires a multidisciplinary approach, involving not only technical expertise but also input from ethicists, policymakers, and social scientists.
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