CCC invited various speakers to share their experiences with ChatGPT and other AI tools and to express their concerns and questions about this rapidly changing technology.
Data quality is an expression of a data’s usefulness and value. We often describe the things we build as knowledge systems, or a system that takes data as its input and, through a series of data process steps, extracts as much of the ‘actionable information’ in the data as is possible.
In Thomas Kuhn’s work, paradigms are characterized by “universally recognized scientific achievements that for a time provide model problems and solutions to a community of practitioners.”
The U.S. Copyright Office announced a new artificial intelligence initiative that will “examine the copyright law and policy issues raised by AI, including the scope of copyright in works generated using AI tools and the use of copyrighted materials in AI training.”
While training AI usually involves large data sets, significant AI innovation occurs today by virtue of tech companies (and others) using large datasets licensed by entities such as Getty, STM publishers, and news outlets, among others.
While there are many benefits to embracing the advancements in AI, some may argue that the technology is not ready to supplant the value of the human touch—at least not in every case.
We’re breaking down the different types of personalization used by search engines so we can recognize the benefits of applying these tools to data searches in the business environment.
Find out what CCC and Biorelate’s strategic integration means for companies curating biomedical data and knowledge in our new interview with Biorelate CEO Daniel Jamieson.
CCC has continuously developed its RightFind XML offering since its inception in 2016, and we now offer even more flexible ways to incorporate scientific articles from more than 50 publishers into AI and machine-learning initiatives.