AI is maturing and creating countless new opportunities to help people live better lives at home and work. As the technology evolves, it is essential that it does so inclusively, equally recognizing and serving all individuals who make up the world's population.
Data is the fuel for software development, and developers use historical data from existing products to train algorithms and build AI and machine learning models. Companies are well aware of privacy and regulatory restrictions on data use, but often do not consider the potential impact of data use restrictions on intellectual property ownership and use rights.
Results of the new "Implementing Financial Intelligence to Give Law Firms a Competitive Advantage in 2022 and Beyond" report revealed a striking shift in the role of law firm finance leaders, both in their value and impact. Many are using data to drive change in their organizations, amplifying the power of profitability, and leveraging their skill to fuel innovation.
For the foreseeable future, patent applications involving artificial intelligence technologies, including machine learning, will increase with the continued proliferation of such technologies. However, subject matter eligibility can be a significant challenge in securing patents on artificial intelligence and machine learning.
For the foreseeable future, patent applications involving artificial intelligence technologies will increase with the continued proliferation of such technologies. However, subject matter eligibility can be a significant challenge in securing patents on artificial intelligence and machine learning.
For the U.S. to maintain its technological edge, it must encourage Americans to make more discoveries in AI and other emerging technologies. This in turn requires providing strong IP rights to incentivize and protect the huge investments required to make those discoveries.
With demand for technology innovation and efficiency at an all-time high, we can look to Artificial Intelligence (AI), Machine Learning (ML), and Natural Language Processing (NLP) to help streamline and automate proposal and RFP management, and bridge the gap between increases in RFP requests and lower win rates.
With demand for technology innovation and efficiency at an all-time high, we can look to Artificial Intelligence (AI), Machine Learning (ML), and Natural Language Processing (NLP) to help streamline and automate proposal and RFP management, and bridge the gap between increases in RFP requests and lower win rates.
This article discusses the key lessons that can be taken from a series of recent surveys that seek to understand the long-term impacts of COVID-19 on the industry from the perspective of legal executives and frontline lawyers in U.S. firms and corporate law departments.
In the process of creating new content, AI, which has moved into the entertainment industry, may create copies of copyrighted works in memory storage as a byproduct of its overall output sequence. This article explores authorship and ownership of such AI-generated content, and to what extent, if any, can copyrights be infringed upon when AI reproduces copyrighted works for machine learning.
