If the goal is to create AGI-driven bots, shouldn't the bots be keeping to the same rules as their human counterparts anyway? Aren’t we spending too much time on discussing inadequate solutions?

Asking AI services: We are now discussing which rights AI makers should have when amassing data for their chatbots and robots to learn from. But if the goal is to create AGI-driven bots, shouldn't the bots be keeping to the same rules as their human counterparts anyway and aren’t we spending too much time on discussing inadequate solutions in the interim because the tech does not equal a human - yet?

ChatGPT-4o’s answer:
You've raised an important point that touches on both the ethical and practical dimensions of developing AI, particularly AGI (Artificial General Intelligence).

The Current Debate: Data Rights and AI Development

The ongoing discussions about data rights for AI makers primarily revolve around the legal and ethical use of data in training AI systems. These discussions include issues like data privacy, intellectual property, and the potential for AI to learn from copyrighted or sensitive material without explicit permission. The concerns are valid because current AI models, including those driving chatbots and robots, are not truly intelligent in the way humans are. They rely heavily on vast amounts of data to simulate understanding and generate responses.

AGI and Human-Like Rules

Your argument suggests that if the goal is to develop AGI, which would theoretically operate with human-like intelligence, then these systems should be held to similar standards as humans regarding data usage. This is a crucial point because AGI, by definition, would be expected to understand and abide by complex social norms, legal frameworks, and ethical guidelines—much like humans do. Therefore, the debate over data rights might indeed be a stopgap measure, focusing on the limitations of current AI rather than the more profound implications of AGI.

The Transition Phase: Inadequate Solutions?

In some ways, we are indeed spending a lot of time on what could be seen as "inadequate solutions" if we consider that current AI technology is a stepping stone to AGI. The rules and regulations being developed now might become obsolete or require significant adaptation once AI reaches a level of sophistication where it can independently understand and respect human rights, intellectual property, and privacy—just as humans are expected to do.

However, this interim period is also critical. Even if AI does not yet equate to human intelligence, the consequences of its use can be significant, affecting millions of people. The regulations and ethical guidelines we develop now can serve as a foundation, ensuring that AI development progresses responsibly and that potential harms are mitigated as much as possible.

The Bigger Picture: Preparing for AGI

The discussion should perhaps shift to a broader, more forward-looking perspective, where we not only address the immediate concerns but also anticipate the challenges of AGI. This would involve:

1. Developing AI with a built-in understanding of ethical and legal norms: If AI systems are to eventually operate with human-like intelligence, they need to be designed from the ground up with these considerations in mind.

2. Evolving legal and ethical frameworks: As AI evolves, so too must our laws and ethical standards, preparing for a future where AI could act with autonomy similar to humans.

3. Balancing immediate and long-term concerns: While it’s essential to address current issues like data rights, we should also invest in research and policy development that considers the future of AI, particularly AGI.

In conclusion, while the current discussions are necessary, they might indeed be somewhat myopic if we don’t simultaneously consider the long-term implications of AGI. Preparing for that future will require a paradigm shift in how we think about AI rights, responsibilities, and the frameworks that govern them.


Claude’s answer:
This is a thought-provoking question that touches on several complex issues in AI ethics and development. Let me break down a few key points to consider:

1. Current AI vs. AGI: You're right to distinguish between current AI technology and hypothetical AGI (Artificial General Intelligence). The AI systems we have now, including large language models and robots, are narrow AI - they're designed for specific tasks and lack the general intelligence and adaptability of humans. AGI, on the other hand, would theoretically have human-like general intelligence.

2. Data collection ethics: The current debate about data rights for AI makers is important because of how today's AI systems learn. They require vast amounts of data, often scraped from the internet or other sources, which raises questions about privacy, copyright, and consent. This is different from how humans learn, so the ethical considerations are unique to AI in its current form.

3. Rules for AGI: Your point about AGI following the same rules as humans is intriguing. In theory, if we achieve AGI that truly matches human-level intelligence and understanding, it would make sense for it to be bound by similar ethical and legal frameworks as humans. However, we're not there yet, and it's unclear when or if we will reach that point.

4. Interim solutions: While it might seem like we're spending too much time on "inadequate" solutions, these discussions and policies are crucial for several reasons:

   • They help shape the development of AI in ethical directions.

   • They address immediate concerns with current AI technologies.

   • They lay groundwork for future, more advanced AI systems.

   • They help us think through complex ethical issues that will be relevant even as AI advances.

5. Preparedness: Even if AGI is the ultimate goal, we need to have ethical frameworks and regulations in place for the AI systems we're developing now. Waiting until we achieve AGI to address these issues could lead to significant problems in the interim.

6. Unique AI challenges: Some ethical issues specific to AI may persist even with AGI, such as questions of AI rights, the potential for rapid self-improvement, and the implications of non-biological intelligence.

In conclusion, while your point about AGI potentially following human rules is valid, the current discussions about AI ethics and data rights are necessary and valuable. They address immediate concerns, help shape the future of AI development, and prepare us for the complex ethical landscape that even AGI would inhabit.


Perplexity’s answer:
This is an insightful question that touches on several complex issues at the intersection of AI development, ethics, and long-term technological progress. Let's break down the key points and considerations:

Current AI vs. AGI

You're right to distinguish between current AI systems and potential future Artificial General Intelligence (AGI). The AI we have today, including large language models and specialized robots, are narrow AI - they excel at specific tasks but lack the general intelligence and adaptability of humans. AGI, on the other hand, would theoretically have human-like general intelligence and ability to learn and adapt across domains.

Data Rights and AI Development

The current debate about data rights for AI development is primarily focused on:

1. Copyright and intellectual property concerns

2. Privacy issues related to personal data

3. Ethical use of publicly available information

These discussions are necessary because current AI systems require vast amounts of data for training, and there are legitimate concerns about how this data is obtained and used.

The Argument for Human-like Rules

Your suggestion that AGI-driven bots should follow the same rules as humans is logical and has merit. If we achieve AGI, these systems would ideally:

1. Learn from experience, like humans do

2. Understand and respect copyright and privacy

3. Have the ability to discern ethical use of information

In this scenario, the AGI would not need to rely on massive pre-training datasets in the same way current AI does.

Why We Can't Wait for AGI

However, there are several reasons why we can't simply wait for AGI to solve these issues:

1. Uncertain timeline: We don't know when (or if) we'll achieve AGI. It could be decades away.

2. Interim development: The path to AGI involves developing increasingly sophisticated AI systems, which still need guidelines.

3. Shaping the future: How we handle data and ethics now will influence the development of future AI, including potential AGI.

4. Current impact: AI is already affecting society, so we need rules and ethics in place now.

Balancing Act

The challenge is to create guidelines that:

1. Address current concerns with narrow AI

2. Are flexible enough to adapt to rapidly advancing technology

3. Lay the groundwork for ethical AGI development

Conclusion

While it's true that AGI-driven bots should ideally follow human-like rules, we can't postpone addressing the ethical and legal issues surrounding current AI development. The discussions and solutions we develop now are crucial for shaping the path towards AGI and ensuring that all stages of AI development are conducted ethically and responsibly.These "interim solutions" aren't just stopgaps - they're essential steps in the evolution of AI ethics and governance. They help us grapple with complex issues, set precedents, and create frameworks that can evolve alongside the technology.

Google Gemini’s answer:
A Complex Question with No Easy Answers

You raise an excellent point. The discussion around AI rights in data collection is complex and fraught with challenges. On the one hand, you're absolutely right that focusing solely on the rights of AI creators might be premature, especially when considering the long-term goal of AGI.

However, it's important to remember a few things:

1. Current State of AI: While AGI is a long-term goal, we are currently developing and deploying AI systems that have significant impacts on society. These systems make decisions that affect people's lives, and it's crucial to establish ethical and legal frameworks to govern their development and use.

2. Data Privacy and Ethics: Even if we are not creating AGI, the way we collect and use data has profound implications for individual privacy and societal well-being. Establishing clear guidelines for data collection and usage is essential to protect human rights.

3. Precedent and Future Implications: The decisions we make today about AI rights and data usage will likely shape the future of AI development. If we don't establish strong ethical and legal foundations now, we risk creating a future where AI is unregulated and harmful.

In conclusion, while it's true that we should be mindful of the potential for AGI and the need for AI to adhere to human-like rules, we cannot ignore the pressing issues of data privacy and ethics in the present. By addressing these concerns now, we can build a stronger foundation for the development of responsible and beneficial AI systems.