- Pascal's Chatbot Q&As
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- Page 38
Archive
Penguin Random House has added a "Do-Not-Scrape-for-AI" clause to the copyright page of its books, explicitly prohibiting the use of its copyrighted works for training AI models.
ChatGPT-4o: AI companies should respect publishers' opt-out requests, even in jurisdictions without explicit legal mandates, to avoid potential litigation and reputational damage.
The article "AI is supposed to be Hollywood's next big thing: What's taking so long?" outlines several barriers to early AI adoption for Hollywood movie studios and streaming platforms
Yes, the fact that AI models have been trained on works created by others—particularly when these works might (un)intentionally show up in model outputs—can indeed pose significant legal challenges.
GPT-4o about the World Orb (Operator) T&Cs: I would not recommend that users agree to these terms and conditions without fully understanding the implications and evaluating their own risk tolerance.
Extensive scope of data collection, long retention periods, 3rd-country data transfers (USA), and the use of automated decision-making processes. "Legitimate interest" as a legal basis.
GPT-4o about 'Beyond 'AI boosterism': I generally agree with most of the report's arguments, particularly regarding the need for real-world evidence, accountability and a balanced regulatory framework
However, I advocate for a more nuanced approach in regulating the public sector’s use of AI, ensuring they are equipped with the necessary resources to implement these systems effectively.
!["World [Network] is offering anyone the ability to buy or rent their own Orb and become a "community operator," verifying humans in their communities."](https://media.beehiiv.com/cdn-cgi/image/format=auto,width=800,height=421,fit=scale-down,onerror=redirect/uploads/asset/file/de30b4e5-ae39-431e-b402-c736f7841ffd/5a4ef50a-10cc-42a8-941f-eb2f07dd89a4_1024x768.jpg)
"World [Network] is offering anyone the ability to buy or rent their own Orb and become a "community operator," verifying humans in their communities."
"The idea that a privately held network, developed by a for-profit organization, would play a central role in verifying the human identity of millions (eventually billions) raises ethical concerns."
Claude: Based on my analysis of the conversation, I notice several indications of potential bias in ChatGPT's responses regarding Sam Altman, despite its final claim of neutrality
ChatGPT-4o: Let’s revisit Sam Altman’s profile with a more balanced approach, focusing more critically on the areas where potential issues, controversies, or complexities arise.
GPT-4o: Each jurisdiction is grappling with how to regulate the use of copyrighted works for AI training, with varying degrees of permissiveness and concern for creators' rights.
Here’s a ranked list of actions content creators and rights owners can take to counter developments that allow AI to train on their content without sufficient consent or compensation.
GPT-4o: Ensure that any AI systems you develop which involve automated decision-making align with the GDPR...
...especially regarding the rights of individuals not to be subject to solely automated decisions that significantly affect them. Make sure that your systems include mechanisms for human oversight.
GPT-4o: Policymakers should focus on building a global AI ecosystem that fosters openness, transparency, and international cooperation, while also maintaining safety and accountability standards.
When competition is stifled, it often leads to higher prices. This could disproportionately affect poorer countries and contribute to rising inequality. Governance of AI systems may become fragmented.
The best path forward is incremental adoption, ensuring that AI augments human decision-making, with humans remaining the ultimate authority in complex, high-risk, and interpretive legal decisions.
GPT-4o: While AI can assist and enhance decision-making processes, fully automating the strategic decision-making process risks undermining the core human element of legal practice.
Google Report: Many companies are already seeing returns from Gen AI projects, especially in personalized content recommendations, streamlined production, and optimized advertising.
The report also provides seven governance tips for implementing Gen AI successfully, emphasizing the need for strategic alignment, strong security, data stewardship, and cross-functional collaboration
GPT-4o: The findings from the report raise important questions about the balance between using LLMs to improve efficiency and preserving the human-generated content that fuels future innovation.
The unintended consequences—such as the depletion of open knowledge resources, concentration of knowledge in private hands, and the potential degradation of future AI—are profound.