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
The incoming administration must act to address bias in medical technology at the development, testing and regulation, and market-deployment and evaluation phases.
The incoming administration should work towards encouraging state health departments to develop clear and well-communicated data storage standards for newborn screening samples.
Proposed bills advance research ecosystems, economic development, and education access and move now to the U.S. House of Representatives for a vote
NIST’s guidance on “Managing Misuse Risk for Dual-Use Foundation Models” represents a significant step forward in establishing robust practices for mitigating catastrophic risks associated with advanced AI systems.