- Pascal's Chatbot Q&As
- Archive
- Page 91
Archive
MS Copilot's analysis of the Lexology article: "Getty v. Stability AI case goes to trial in the UK - what we learned" - An AI model could potentially qualify as an infringing copy of its training data
The location of AI model training and development matters. Claimants need to demonstrate how the AI system works to prove infringement. Secondary infringement could apply to intangible software
MS Copilot's analysis of "Elon Musk vs OpenAI". The complaint seeks to compel the defendants to follow the original agreement and to return to their mission of developing AI for the public good
The agreement was to develop AI for the benefit of humanity, not for profit or power, and to make it open-source, meaning that anyone could access and use it
MS Copilot's analysis of "A.S. vs OpenAI and Microsoft". The complaint alleges that the defendants have unlawfully and harmfully developed, marketed, and operated their AI products...
...which use stolen private information from hundreds of millions of internet users without their informed consent or knowledge.
ChatGPT-4: In a hypothetical 2025 scenario where AI development mirrors a gold rush, the consequences could be profound, touching every aspect of society, economy, law, technology, and ethics.
The rapid pace of technological advancement, combined with the potential for state or non-state actors to exploit AI technologies maliciously, suggests that the scenario cannot be entirely dismissed
"Rethinking Privacy in the AI Era - Policy Provocations for a Data-Centric World" by Jennifer King and Caroline Meinhardt discusses the impact of AI on privacy and data protection in our modern world
The current mechanisms for obtaining consent and ensuring transparency about how data is used or decisions are made about individuals are deemed insufficient
Asking AI: Is the increase of chatbot intelligence inversely proportional to human intelligence? "There's concern about the development of empathy, understanding of social cues and face-to-face comms"
Gemini: If users blindly accept chatbot responses without analyzing their accuracy or underlying reasoning, it could hinder their ability to develop critical thinking skills
Claude: Every technologist releasing a technology should think critically if they would be comfortable having their loved ones, especially children, use it in its current form...
Responsible AI development demands technologists 'eat their own dog food' and not simply push specialized technologies to the public without caring for potential harm.
ChatGPT-4's analysis of the 'MS 365 CoPilot data protection risk assessment': "These issues point to the need for thorough Data Protection Impact Assessments (DPIAs) and privacy impact assessments."
They also highlight the importance of transparency, user consent, and adherence to data protection regulations in the operation of AI and model-as-a-service platforms.