🌐 It's interesting to dive into all the intricacies of AI development and its legal implications, particularly regarding Midjourney's approach to training data and the potential risks involved. It's a reminder of the complex landscape AI startups navigate and the importance of staying attuned to legal and ethical considerations in this rapidly evolving field. 🌟 The snippets covering various AI advancements, from predicting COVID-19 variants to analyzing satellite imagery, AI's impact spans far and wide. 💡 It's remarkable to see how AI continues to push boundaries, but amidst the excitement, we can't forget to address ethical concerns and ensure responsible AI use. It's a wild ride, but definitely one worth keeping tabs on!🚀 #AI #Innovation #Ethics #TechTalk https://lnkd.in/d4-7pqCa
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Behind every smart AI, there's a mountain of data. But is it ethically sourced? A new legislative proposal aims to bring clarity. 🏔️✨ To be transparent, I haven't read the bill. But the idea of transparency sounds like a great step in the AI ecosystem. Protecting the intellectual property within AI models guarantees that the digital ecosystem remains vibrant and competitive. Tools that respect the genesis of their content. This is essential in motivating ongoing participation and development in the field of AI and to avoid a snake eating its tail (AI content being used to train AI content). https://lnkd.in/gwnQrkE3 #ai #aiethics
A new bill wants to reveal what’s really inside AI training data
theverge.com
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🚨 The AI Revolution Needs Transparency! 🚨 Did you know that generative AI systems can whip up text, images, videos, and even computer code based on just a simple prompt? 🤯 But there’s a catch… what's actually happening in that 'black box' of AI training is a mystery. Imagine trusting an autopilot without knowing how it can handle turbulence. This is what we're facing with AI. 🔍 Creators are now calling on Ottawa to demand disclosure on how these AI systems, like OpenAI's ChatGPT, are trained. Why? Because transparency is crucial for innovation that we can trust. Think about it: - 📈 Enabling better, more ethical AI development. - 👥 Building trust with consumers who use these AI-powered tools. - 💡 Fostering a more informed and involved tech community. This could reshape our digital future! Check out the full article for more insights: [Read here](https://lnkd.in/g_J-zPCe) What's your take on AI transparency? Let's discuss! ⤵️ #AI #TechTransparency #Innovation #EthicalAI
Creators urge Ottawa to force disclosure of 'black box' AI system training
moosejawtoday.com
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With the continued barrage of information coming from high level Open AI leaders being very clear that this company is not to be trusted in any way, perhaps it’s time we move on from Chat-GPT. In many of my training sessions, participants are shocked to learn that there are now over 1 million AI models. The avenue I’ve found to access a wide range of AI models with a higher level of security - base subscription is FREE (for now) - is called Kindo and I highly recommend you check them out. We have the power of choice - let’s use it! #ai #elevatenoteliminate #aisecurity AixHR
Former OpenAI Staffer Says the Company Is Breaking Copyright Law and Destroying the Internet
gizmodo.com
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OpenAI achieved a significant win in court, as a lawsuit claiming copyright infringement through AI training was thrown out. While this is promising for AI firms, the full impact remains uncertain due to legal complexities and the potential for future challenges. In my research on AI, I've found that integrating AI into procurement processes can boost efficiency and innovation, while also presenting risks that require careful management. Small businesses, in particular, can benefit from adopting open-source AI tools to stay competitive and nimble. This case highlights the ongoing legal and ethical challenges these businesses might face when implementing AI strategies. Key takeaways for small business strategies include understanding the importance of risk management in AI deployment, leveraging AI for more innovative procurement solutions, and staying informed about legal trends affecting AI applications. Explore how these insights could transform your business strategy with the link provided. Consider both the potential and pitfalls of AI integration in your workflow. #AI #BusinessStrategy #Innovation #RiskManagement
Column: OpenAI just scored a huge victory in a copyright case ... or did it?
latimes.com
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For creators, 'their work is being used to train AI systems that may ultimately put them out of business'. 'By destroying the economic incentives for content creation, AI companies risk poisoning the well from which they draw their training data. 'Sustainable AI development requires a new social contract between technology companies and content creators and it can only work with a system where content creators are fairly compensated for their contributions to AI development.' #content #AI #licensing #copyrightlaw
Ex OpenAI Researcher: How ChatGPT’s Training Violated Copyright Law
social-www.forbes.com
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Shocking, I know. Some of the posts you've been reading might be written by AI! But don’t worry, there will soon be a way to tell if a post is human-made or machine-made. It’s called disclosure, and it’s very important for legal, ethical, and practical reasons. If you want to learn more about why and how to disclose the use of AI in your content, check out this article by Trust Insights. It’s full of useful information and tips on how to use AI responsibly and creatively. And yes, I used AI to write this post. #disclosure #AI #contentmarketing https://lnkd.in/e-tcugVE
Disclosure of AI and Protection of Copyright
https://www.trustinsights.ai
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Understanding the Boundaries of Fair Use in AI https://ow.ly/Ur9R50U9X6J #FairUse #AIEthics #AIFairUse #aimusic #aimusicproduction #ai
Understanding the Boundaries of Fair Use in AI
https://www.hypebot.com
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This matters. Not because this is the end state. But because there are increasing concerns about how these LLMs scrape data and are trained. It started as a legal battle. My hope is that the AI future is a collaborative effort where creators want to opt in. “Yesterday, OpenAI announced in a blog post it is developing a “Media Manager” that will allow artists, creators, and content owners to claim ownership of their works and specify whether or not they want them to be part of training OpenAI’s models. Creatives will ultimately be able to opt out of having their written or visual work included in future AI training datasets—when the tool is released by 2025.” This from Fortune’s Diane Brady - “AI developer OpenAI is developing a new “Media Manager” tool for content creators amid a furore around the ChatGPT creator’s respect for copyright. The tool, set to be released in 2025, will let content creators opt out of letting OpenAI train AI models on their work. Experts suggest the new tool has been created to comply with standards on data mining in Europe’s new AI Act.” #ai #genai Paul W. Kevin Rank, MBA https://lnkd.in/gs3zYNvx
OpenAI is touting a new plan to protect creator works—here’s why it won’t actually resolve AI’s copyright crisis
fortune.com
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Disclosing when you use AI is a trend that is showing up to distinguish what was “human created” versus AI generated. According to this article, while it’s not required by law yet in most places, there is a trend headed in that direction, and the first market to require this is the EU. The EU passed the EU AI Act in committee late in 2023 and ambassadors ratified it into law on February 2, 2024. It is now the gold standard planet-wide. Here’s what the European Parliament said: General purpose and generative AI - Generative AI, like ChatGPT, would have to comply with transparency requirements: - Disclosing that the content was generated by AI - Designing the model to prevent it from generating illegal content - Publishing summaries of copyrighted data used for training Read more 👇👇 #AIethics ##contentcreation
Disclosure of AI and Protection of Copyright
https://www.trustinsights.ai
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When an #AI is trained, is it just reading and remembering content like humans? Put another way, we don't plagiarize after we read an article and then synthesize the content of that article when we talk with friends. Is that what AI is doing too? A Federal District Court judge found that OpenAI's use of publicly available data for training purposes was more akin to our reading and remembering than just copying. According to he court, the training did not cause adequate damages to the plaintiffs to support the lawsuit. “Given the quantity of information contained in the repository, the likelihood that ChatGPT would output plagiarized content from one of Plaintiffs’ articles seems remote,” McMahon wrote. This is potentially a very big deal. The lawsuit doesn't claim to answer all of the legal questions around #AI and training data, but it is an interesting approach. What do you think, is this the right way to think about AI training? https://lnkd.in/ej8JP98z
OpenAI defeats news outlets' copyright lawsuit over AI training, for now
reuters.com
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