Transition Document for the United States Patent and Trademark Office
Summary
This transition document provides over 25 actionable recommendations on the future of the United States Patent and Trademark Office (USPTO), in order to support future federal leadership and enable their success. The document is the result of collaboration between the Day One Project and a group of veteran policymakers who convened virtually to produce recommendations related to the following three categories:
- Identifying specific policy and governance ideas that can be pursued in the first days and months of the next administration.
- Gathering “lessons learned” from those who have previously served in government to learn from past challenges and better inform future initiatives.
- Understanding key science and technology staffing and “talent” needs, and related challenges for the USPTO that can be addressed in the next administration.
The document also includes a cover memo which highlights some of the overarching key considerations for the future of the USPTO.
Contributors
- Margo A. Bagley
- Sharon Barner
- Brian Cassidy
- Colleen V. Chien
- Mark Allen Cohen
- Ayala Deutsch
- Ben Haber
- Philip G. Hampton
- Justin Hughes
- David J. Kappos
- Quentin Palfrey
- Arti K. Rai
- Teresa Stanek Rea
- Robert L. Stoll
- A. Christal Sheppard
- Saurabh Vishnubhakat
- Stephen Yelderman
It is in the interests of the United States to appropriately protect information that needs to be protected while maintaining our participation in new discoveries to maintain our competitive advantage.
Our analysis of federal AI governance across administrations shows that divergent compliance procedures and uneven institutional capacity challenge the government’s ability to deploy AI in ways that uphold public trust.
To secure the U.S. bio-infrastructure, maintain global leadership in biotechnology, and safeguard American citizens from emerging threats to their privacy, the federal government must modernize its approach to human genetic and biological data.
From use to testing to deployment, the scaffolding for responsible integration of AI into high-risk use cases is just not there.