- Pascal's Chatbot Q&As
- Archive
- Page 25
Archive
Review these 4 challenges when creating AI solutions and advise as to how one can go about the implementation and deployment of this technology in such a way that it will be a viable business model.
Securing Rights and Consent for AI Training, Scaling Compute and Data Center Resources, Removing Content from Training Data or Neural Networks, Legal and Financial Risks of Ignoring Laws and Rights
GPT-4o: Integrating more human-like ways for AI to respond such as denying, ignoring, doubting, taking more time and adding self-criticism could greatly enhance accuracy, reliability, usefulness...
...and overall value of the model's output. Here’s a breakdown of which methods should be implemented and why they could be beneficial.
GPT-4o: Yes, it is possible for AI makers to remove illicit, unlawful, and infringing content from training data. Claude: YES, it is possible to remove illicit, unlawful and infringing content.
Perplexity: It appears that the answer to your question is YES, it is possible for AI makers to remove illicit, unlawful, and infringing content from training data. Gemini: YESâ–‘
GPT-4o: I agree with the perspective that OpenAI's strategy of entering into licensing deals is likely a pragmatic approach to mitigate legal risks while maintaining access to necessary content
However, the sustainability of this approach is questionable, especially if courts start ruling against the use of copyrighted material in AI training without explicit permission.
GPT-4o: Given the circumstances outlined in the court documents, X should have complied with the Brazilian court orders for several reasons.
There were also alternative actions the company could have taken to avoid or mitigate the situation, including proactive legal engagement, transparent communication, and closer collaboration.
GPT-4o: The authors conducted a large-scale audit of over 1,800 text datasets used for training AI models. They found widespread issues with the way these datasets are labeled and licensed.
The improper licensing and lack of clear attribution can lead to legal and ethical risks. If a dataset is used in ways not permitted by its original license, it could result in copyright infringement.
Perplexity about LLMs disagreeing on the term Synthetic Data: The confusion likely arises because AI and computer algorithms are commonly used to generate synthetic data, especially at scale...
The correct answer is that synthetic data doesn't necessarily need to be produced by an AI model or algorithm. Human-made synthetic data can exist and is valid as long as it meets these criteria.
GPT-4o: It is very likely that CMG's "Active Listening" service could be illegal in many jurisdictions if it indeed captures and uses voice data without clear consent.
The collected voice data is paired with behavioral data from various sources (over 470+), including major platforms like Google, Facebook, Amazon, and Bing.
GPT-4o: In conclusion, while continuing to build more data centers is necessary to meet the growing demand for AI and digital services, it should be done with careful planning and regulation.
A moderated and strategic approach that aligns with the development of sustainable solutions is likely the wisest path, balancing economic growth with environmental responsibility and infrastructure
Asking GPT-4o what Microsoft as an AI maker would need to say and do in their day-to-day dealings with the public and their customers, in order to genuinely live up to its own Responsible AI policy.
By integrating these actions into their daily operations and communications, Microsoft can ensure they are genuinely living up to the high standards they’ve set with their Responsible AI Principles​.
Asking GPT-4o: When you compare Claude’s system-prompts to yours, which ones are better and why?
GPT-4o: Claude's are highly tailored for specific ethical concerns and technical accuracy, while my guidelines aim for a broader, versatile interaction style that can adapt to various user contexts.