This report explores the role that academic and corporate Research Ethics Committees play in evaluating AI and data science research for ethical issues, and also investigates the kinds of common challenges these bodies face.
Initially created to inform federal staff at the U.S. Department of Health and Human Services, this tip sheet provides key considerations for how organizations can identify potential diverse external partners, conduct outreach to them, and build and sustain productive relationships with them.
Office of the Assistant Secretary for Planning and Evaluation (ASPE)
This report provides specific actions the federal government could take to reduce identity fraud and establish a whole-of-government victim redress approach.
What exactly are the differences between generative AI, large language models, and foundation models? This post aims to clarify what each of these three terms mean, how they overlap, and how they differ.
Center for Security and Emerging Technology (CSET)
Ruling from the FCC granting the U.S. Department of Health and Human Services (HHS) to confirm that federal and state governmental agencies working in conjunction with local governments, governmental contractors, and managed care entities acting under contract with state governments may, under certain circumstances, make autodialed and prerecorded or artificial voice calls or send autodialed text messages to raise awareness of the eligibility and enrollment requirements for these governmental health care programs without violating the Telephone Consumer Protection Act (TCPA).
There are frameworks available that could inform the standardization of communicating rules as code for U.S. public benefits programs. The Airtable communicates the differences between the frameworks and tools. Each entry is tagged with different categories that identify the type of framework or tool it is.
