It's not surprising that we've experienced an explosion in artificial intelligence (AI) patent activity over the past several years. As recently as 2016, the United States Patent & Trademark Office (USPTO) issued less than 1,000 AI-related patents. As this explosion has occurred, so have interesting questions concerning patentability, inventorship, ownership, and disclosure issues. To address these (and other) concerns, the USPTO launched its Artificial Intelligence Initiative in 2019, engaging the innovation community and experts to determine whether AI required any changes to the U.S. Patent system. In response to requests for public comments on these topics, the USPTO received comments from 43 organizations, ranging from domestic and international patent/IP bar associations to companies such as Ford Motor Co. and Merck, and also from 55 individuals.
The Linux Foundation on Monday introduced the Community Data License Agreement, a new framework for sharing large sets of data required for research, collaborative learning and other purposes. CDLAs will allow both individuals and groups to share data sets in the same way they share open source software code, the foundation said. "As systems require data to learn and evolve, no one organization can build, maintain and source all data required," noted Mike Dolan, VP of strategic programs at The Linux Foundation. "Data communities are forming around artificial intelligence and machine learning use cases, autonomous systems, and connected civil infrastructure," he told LinuxInsider. "The CDLA license agreements enable sharing data openly, embodying best practices learned over decades of sharing source code."
Apache Hadoop, Hadoop, Apache Spark, Spark, and Apache are either registered trademarks or trademarks of the Apache Software Foundation in the United States and/or other countries, and are used with permission. The Apache Software Foundation has no affiliation with and does not endorse, or review the materials provided at this event, which is managed by O'Reilly Media and/or Cloudera.