This week on IPWatchdog unleashed I speak to Allison Gaul, who acts as a legal advisor to the Boston Consulting Group. It is responsible for the evaluation of digital products with a view to strategy for intellectual property, added value and legal risk. It is also a recovery or at least a former patent attorney. She still advises BCG on patent questions, but she designed and does not pursue any patent applications at this point. We start our conversation with me and ask what they are for the biggest legal problems in the IP world for today.
“This is such a difficult question,” said Gaul appropriately. “I have the feeling that we are developing so quickly in this wild western landscape and dipping web 3.0 next to us and the quantum that comes hard when we are in a kind of AI horse racing. And then this regulatory patchwork, which only blooms blooms, only blooms all over the world.”
https://www.youtube.com/watch?v=bei8wyf-i6w
Gaul has identified several things that focus on the IP rights at the interface of the AI, with various problems related to the data front and the center as a top problem.
“You are data control. Input data, these are rights and integrity,” said Gaul. Output data, rights and integrity, security, privacy and then also responsibility components, since more and more jurisdiction are restrictions on what can get in and out of their responsibility, and what can be stored there, which must have a kind of confirmation by the government before it can actually be left out and out of the country. “
The second area identified by Gaul was open source, which she explained, usually does not have many changes because it is usually “a slowly moving dinosaurs”, but recently we really saw a spread of companies that emphasize AI models as open source models if they really have the weight weight. And that is not necessarily a new concept, the double licensing.
The third and last thing that Gaul identifies as constantly first class is the total speed of AI development.
When I returned to the beginning of your list, I sow the conversation by recognizing the privacy that has grown in the past ten years, which are most important by the Europeans. And now with a company like 23Andme who goes bankrupt, there are concerns about what you have given and accumulated.
“I think ownership of data and the usage rights for data are currently one of the most important questions in innovation,” said Gaul. “[E]Data, e.g. B. whether it is quantum applications, whether it is meta -verse, whether it is web 3.0, whether there are different types of AI, not just generative, everyone needs data. “
“We saw this real escalation in the direction of ever better data protection protection around the world in various jurisdiction,” said Gaul. “But now this year we actually see the EU, which say that they simplify the GDPR, some other jurisdiction that say that they dive a little because they feel that it has suffocated in the AI breed.”
The conversation was about privacy, the declaration of consent and the question of whether users actually read general terms and conditions and know what they agree.
“At the moment I think that we are only in this really unpleasant room, in which everything grows in different ways, like a quick like tree,” said Gaul. “But I think what will happen is that these larger AI companies that are more and more legal and more fire and that people are increasingly angry online about the way their data is treated or how they are unable to understand how these things work.
I agree with the evaluation of Gaul and I think we will have a handful of very large companies that offer the backbone of future AI tools. These large AI giants are very good in mechanical learning and very good at digesting huge amounts of information. Then we will probably see how silos of specialist knowledge are set up. These silos or niches are dominated by small companies that work in a niche industry that they know really well. In fact, we already see small companies that develop specific tools within the IP area with which we are familiar with, which are much better for a special purpose because they understand the IP industry and what the industry needs. Based on what we know, it is in the IP sector that smaller companies have a success in many industries when it comes to concentrating on niche applications that are specific for a specific industry and meet a partially relevant requirements.
“If we move in this direction, I think that this will solve some of our IP problems, since it makes it much easier to understand the effects of licensing an IP piece for use with a certain app, a specific program or a specific model,” said Gaul. “I think this will not necessarily be on the protective ability of these things, but how we at least manage the licensing and assignment for different types of assets when we have these specific tools that you use in a certain way.”
We discuss fair use, in particular the legal problems with which META is confronted, and the ethics in terms of the development and use of AI as well as the importance of requests and, as frustrating -told the least -that AI company does not seem to be interested in learning to achieve better AI tools to achieve better results.
And in this happy note, our podcast and the live panel ended to further questions from our studio audience. You can listen to the entire Podcast episode by downloading the podcast, wherever you usually access podcasts by visiting IPWatchdog unleashed On buzz sprout or by watching the conversation on the ipwatchdog -youtube channel.
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