Fondo’s Post

📰 #LegalPRess | In our new article, we discuss whether AI can be recognized as an inventor, as well as the legal aspects related to the recognition and protection of patents created with the help of AI 🤖 The adoption of 𝘁𝗵𝗲 𝗘𝘂𝗿𝗼𝗽𝗲𝗮𝗻 𝗨𝗻𝗶𝗼𝗻'𝘀 𝗔𝗿𝘁𝗶𝗳𝗶𝗰𝗶𝗮𝗹 𝗜𝗻𝘁𝗲𝗹𝗹𝗶𝗴𝗲𝗻𝗰𝗲 𝗔𝗰𝘁 raises many legally intriguing questions, such as those concerning the relationship between Patent Law and AI. While AI systems can now generate inventive solutions autonomously, current legal frameworks provide that only natural persons can be recognized as inventors, raising questions about the future of patent ownership and rights in AI-generated innovations 💡🛠️ 🔎 Discover more by clicking on the links below: ENG | https://lnkd.in/dMsq9svd SRB | https://lnkd.in/de73CaBn ©️ PR Legal #AlAct #ArificialIntelligence #EU #PatentLaw #LawFirm

"Patent practitioners, beware! Product-by-process claims could pose a pitfall for AI innovations seeking strong patent protection. Understanding this nuanced area is crucial for navigating the challenges. #Patents #AI #Innovation"

Money💰 🤑💸 talks. Check your electricity bill first, before you talk. AI has doubled the electricity bill of a C-level friend of mine 😥 😿 😞 . Is it worthwhile? Let's try this fact-check question of AI-IP: "Is there any today's data technology/solution you know, that can interpret and answer the following fundamental and realistic Chinese-English multilingual questions of BI?" With our intellectualproperty (IP), a copyrighted multilingual metadata, we can provide real time answers for policy/decision making as evidence. "Who, in the Ontario province of Canada, has new US patents granted on the nearest Tuesday, when the USPTO releases the newly granted US patents on a weekly basis?" "Who, in the "江蘇‘’ province of China, has new US patents granted on the nearest Tuesday, when the USPTO releases the newly granted US patents on a weekly basis?" Metadata is an enabler, whose purpose is to let us find the data we want. Without metadata, NO data can be found/retrieved, even by the most advanced technologies, like AI, NVIDIA chips, supercomputers, etc. https://lnkd.in/g-aJFnXR Our IP can also make your data service UNIQUE globally.Money💰 🤑💸 talks. Check your electricity bill first, before you talk. AI has doubled the electricity bill of a C-level friend of mine 😥 😿 😞 . Is it worthwhile? Let's try this fact-check question of AI-IP: "Is there any today's data technology/solution you know, that can interpret and answer the following fundamental and realistic Chinese-English multilingual questions of BI?" With our intellectualproperty (IP), a copyrighted multilingual metadata, we can provide real time answers for policy/decision making as evidence. "Who, in the Ontario province of Canada, has new US patents granted on the nearest Tuesday, when the USPTO releases the newly granted US patents on a weekly basis?" "Who, in the "江蘇‘’ province of China, has new US patents granted on the nearest Tuesday, when the USPTO releases the newly granted US patents on a weekly basis?" Metadata is an enabler, whose purpose is to let us find the data we want. Without metadata, NO data can be found/retrieved, even by the most advanced technologies, like AI, NVIDIA chips, supercomputers, etc. https://lnkd.in/g-aJFnXR Our IP can also make your data service UNIQUE globally.

"AI will never be capable of drafting a patent document, especially Claims that prevent potential infringement." "AI can never generate creative strategies covering both flanks and the front, nor can it adopt the infringer's perspective while drafting Claims" "AI excels in research but will never supplant patent agents and attorneys." These are just a few of the many arguments industry professionals use to discourage leveraging AI in IP documentation. In my opinion, I agree that AI is far from replacing patent agents or attorneys across various jurisdictions, not because it CANNOT but due to the interpersonal trust and responsibility shared between inventors and human agents. This trust is crucial for understanding the client's business, a facet currently beyond AI's capacity and likely to remain so in the foreseeable future. How can GenAI possibly be creative enough to preempt potential infringement? The answer is EXACTLY HOW HUMANS DO. Using "Context" and "Experience". Humans achieve this through contextual comprehension of the invention and its associated domains. Patent agents, having witnessed and participated in countless drafting workflows, possess an innate understanding of which areas require protection in patent claims. This expertise arises from their extensive experience reading, drafting, and defending claims. Engineering an AI to emulate this proficiency involves imbibing it with sufficient context about the current invention and related innovations in a clear and concise way. And, by supplying historical data points detailing how the drafting process has evolved creatively to cover flanks and fronts, AI can learn to replicate such strategies. Ultimately, creativity often is a combination of previously unconnected abstract concepts. Therefore, the inevitable question isn't whether AI will ever match patent agent's creativity and experience, but rather how we can leverage its current capabilities to augment what humans do best. What are your thoughts? Feel free to share your opinions in the comments section.

Not unexpected, the United States Patent and Trademark Office (USPTO) has issued a statement regarding the role of artificial intelligence in the patent process, emphasizing that while AI can be included on a patent, there must also be a significant human contribution to the invention. This decision underscores the evolving intersection between technology and intellectual property law, highlighting the importance of human ingenuity in the age of AI. #PatentLaw #USPTO #Innovation #LegalTech https://lnkd.in/eq9pAAXB

Not unexpected, the United States Patent and Trademark Office (USPTO) has issued a statement regarding the role of artificial intelligence in the patent process, emphasizing that while AI can be included on a patent, there must also be a significant human contribution to the invention. This decision underscores the evolving intersection between technology and intellectual property law, highlighting the importance of human ingenuity in the age of AI. #PatentLaw #USPTO #Innovation #LegalTech https://lnkd.in/eq9pAAXB

Not unexpected, the United States Patent and Trademark Office (USPTO) has issued a statement regarding the role of artificial intelligence in the patent process, emphasizing that while AI can be included on a patent, there must also be a significant human contribution to the invention. This decision underscores the evolving intersection between technology and intellectual property law, highlighting the importance of human ingenuity in the age of AI. #PatentLaw #USPTO #Innovation #LegalTech https://lnkd.in/eq9pAAXB

"AI will never be capable of drafting a patent document, especially Claims that prevent potential infringement." "AI can never generate creative strategies covering both flanks and the front, nor can it adopt the infringer's perspective while drafting Claims" "AI excels in research but will never supplant patent agents and attorneys." These are just a few of the many arguments industry professionals use to discourage leveraging AI in IP documentation. In my opinion, I agree that AI is far from replacing patent agents or attorneys across various jurisdictions, not because it CANNOT but due to the interpersonal trust and responsibility shared between inventors and human agents. This trust is crucial for understanding the client's business, a facet currently beyond AI's capacity and likely to remain so in the foreseeable future. How can GenAI possibly be creative enough to preempt potential infringement? The answer is EXACTLY HOW HUMANS DO. Using "Context" and "Experience". Humans achieve this through contextual comprehension of the invention and its associated domains. Patent agents, having witnessed and participated in countless drafting workflows, possess an innate understanding of which areas require protection in patent claims. This expertise arises from their extensive experience reading, drafting, and defending claims. Engineering an AI to emulate this proficiency involves imbibing it with sufficient context about the current invention and related innovations in a clear and concise way. And, by supplying historical data points detailing how the drafting process has evolved creatively to cover flanks and fronts, AI can learn to replicate such strategies. Ultimately, creativity often is a combination of previously unconnected abstract concepts. Therefore, the inevitable question isn't whether AI will ever match patent agent's creativity and experience, but rather how we can leverage its current capabilities to augment what humans do best. What are your thoughts? Feel free to share your opinions in the comments section.

In 2020, 80,000 utility patent applications involving AI were filed with the United States Patent and Trademark Office. While it is clear that AI will be an essential part of patenting for the foreseeable future, what remains unclear for many innovators is how to categorize AI’s contributions to an invention’s development. Panitch Schwarze attorneys Charles Wieland and Sean Douglass authored an article in The Legal Intelligencer examining where the law currently stands on nonhuman inventorship and the various ways AI can be used by inventors. #PatentLaw #GenerativeAI #Inventors

When AI has seeped into all possible industries and fields one can imagine, why should patent law be left behind, right? Absolutely! In other words, patent attorneys who use AI-powered tools for patent drafting, surge ahead of those who don’t. AI streamlines tasks and makes them highly accurate. Therefore, patent attorneys complete the patent drafting process with much time left to focus on other significant tasks such as forging more trusting relationships with customers and engaging their brain cells on theories that require deep thinking! To know more about what can help patent attorneys become better at patent drafting, read this blog, written by Mamata Saha. Here’s the link: https://lnkd.in/gHSYf5RG #artificialintelligence #ai #aipoweredtools #patentdrafting #patentattorneys #accuracy #relecura #maxval Ginish George, PhD Alex Paikada Neha Reddy Prajakta Bangale