What Next for Intellectual Property Law (IP) and Artificial Intelligence?
Intellectual property (IP) encompasses a range of creations, from the digital landscape to physical works. To protect this property, attorneys and attorneys must use the right technology to evaluate and sort the data.
Manually, this process can become tedious and slow down the filing of a trademark or patent. However, with artificial intelligence (AI) the process becomes more efficient and accurate.
These dynamics can improve the way legal professionals approach IP legal practices. When you combine newer technologies with traditional laws, you can create a methodical approach to protecting creative traits for each client.
Bringing AI and IP law together
Artificial intelligence enables professionals from all fields to simplify complex processes, especially those that are heavily involved with data. In the legal area, the processes of trademark, copyright and patenting are based on various data – such as time stamps, customer history, industry notes and similar creation data.
Manually, the likelihood of human error in processing this information can lead to overall inaccuracies in the case. According to a survey, 51% of respondents cite human error as the main cause of IP violations. This can happen when employees lose files or give access to the wrong people.
With AI, however, machine learning algorithms continue to evolve and learn based on the data. You can browse historical data to compare the new IP patent with similar ones and determine if there is a violation. Then attorneys and attorneys can use this data as a licensing resource to create a case for or against a patent.
While AI can assist you with IP litigation, the opposite is also true. IP laws are also vital to AI creations. With artificial intelligence such a rapidly growing field, protecting the intellectual property of those who develop the creations is more important than ever.
In an interview with Lawyer Monthly, top patent attorney Nick Transier highlighted this extension, stating that “applying models to new technology domains to enable entirely new use cases” is one of the reasons AI patents have increased recently .
In a unique example, the biopharmaceutical industry is trying to provide more protection for AI drug development. As AI analyzes data sets and helps professionals develop drugs, these dynamics require protection – especially as it grows to $ 5 billion by 2024.
In the future, this overlap between AI and IP cases will increase as the spread of AI increases. However, improvements are always necessary. In particular, because of its rapid growth, Artificial Intelligence requires more regulations to protect users from cyber threats such as fraud and breach.
China is a region that drives such regulations. Since the pandemic increased reliance on technologies of all kinds, IP laws have played an increasingly important role as new technical innovations keep emerging. Therefore, China is setting new laws and protocols for the use of AI in the country. Stricter handling of AI leads to more effective IP laws.
For example, you can use AI to process claims and patents based on more regulation, reducing the likelihood of ethical conflicts. With more AI regulation, you can also better appreciate AI innovations, as newer laws should specify more precisely how intellectual property dynamics are actively applied.
The United States is taking a similar approach, adding more regulation for AI and focusing on the weakest and most vulnerable areas for improvement. With more clarity and guidelines, you can then use AI to sort historical cases and collect data to act on for current patents and trademarks.
Here, too, Transier goes into the importance of future AI innovations and legal steps. He says, “I believe there is now a general consensus that there is a real problem that concerns real, valuable innovation in the United States that needs to be resolved.” Legal barriers to such innovations require the best care and consideration, starting from a well-regulated playing field.
A connected relationship
AI and IP laws influence each other. AI can help lawyers handle IP cases more efficiently and accurately. IP cases can also help clarify how new AI innovations are to be approached. This dynamic now requires more careful regulation.
Regulation provides a clear path to approach AI and IP laws. It shows what is ethical and what is not, what is directly related to intellectual property, property and privacy. As countries around the world continue to regulate AI, their relationship with intellectual property will strengthen and evolve for the better.