In response to congressional direction, the Department of Defense is planning to divide its existing defense acquisition office into two separate organizations. The change, which would take effect in February 2018, is predicated on the belief that it would promote technological innovation and increase efficiency.
A new report from the Congressional Research Service provides background on the move. See DOD Plan to Split Acquisition Duties, CRS Insight, August 18, 2017.
Other new and updated reports from the Congressional Research Service include the following.
Select Acquisition Reform Provisions in the House and Senate Versions of the FY2018 National Defense Authorization Act, August 21, 2017
Who Regulates Whom? An Overview of the U.S. Financial Regulatory Framework, August 17, 2017
Select Demographic and Other Characteristics of Recent U.S. Circuit and District Court Nominees, CRS Insight, August 17, 2017
The United Arab Emirates (UAE): Issues for U.S. Policy, updated August 18, 2017
U.S. Role in the World: Background and Issues for Congress, updated August 17, 2017
China Naval Modernization: Implications for U.S. Navy Capabilities — Background and Issues for Congress, updated August 18, 2017
Maritime Territorial and Exclusive Economic Zone (EEZ) Disputes Involving China: Issues for Congress, updated August 17, 2017
Comparing DHS Component Funding, FY2018: In Brief, August 21, 2017
Violence Against Members of Congress and Their Staff: Selected Examples and Congressional Responses, updated August 17, 2017
These ideas aim to advance the detailed policy solutions needed to foster public trust and implement fairness in the adoption of AI across diverse domains, from healthcare and government benefits to rural access, education, and worker protections.
The evidence is clear: algorithmic pay-setting is established in app-based work, and payroll/timekeeping failures show how software can produce systemic wage harm at scale
While a few states have taken steps to implement decision-making mechanisms for certain AI systems, too many leaders are simply accepting narratives about AI’s purported public benefit at face value – jumping to the “how” of AI implementation before thoroughly vetting potential systems and deciding whether they are appropriate to use at all.
When properly structured — with specific numeric targets, secured financial obligations, independent monitoring, and meaningful enforcement — CBAs transform data center deals into durable community partnerships.