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Laura J. Mitchell Baker is a counsel with Crowell & Moring’s Government Contracts Group in the firm’s Washington, D.C. office.

Laura represents government contractors in litigation and administrative matters, including contract disputes with state and federal entities, suspension and debarment proceedings, mandatory disclosures to the government, prime-sub disputes, and False Claims Act investigations. Her practice also includes counseling on federal, state, and local government contracts, government contracts due diligence, and regulatory and compliance matters, as well as conducting internal investigations.

The National Defense Authorization Act (NDAA) for Fiscal Year (FY) 2024, signed into law on December 22, 2023, makes numerous changes to acquisition policy. Crowell & Moring’s Government Contracts Group discusses the most consequential changes for government contractors here. These include changes that impose a new conflict of interest regime for government contractors with a connection to China, impose new restrictions and requirements, require government reporting to Congress on acquisition authorities and programs, and alter other processes and procedures to which government contractors are subject. The FY 2024 NDAA also includes the Federal Data Center Enhancement Act, the American Security Drone Act, and the Intelligence Authorization Act for FY 2024.Continue Reading The FY 2024 National Defense Authorization Act: Key Provisions Government Contractors Should Know

On November 2, 2023, the Department of Defense (DoD) released its 2023 DoD Data, Analytics, and Artificial Intelligence Adoption Strategy (2023 Strategy), and an accompanying Fact Sheet, to accelerate the adoption of analytics, data, and artificial intelligence (AI) technologies that will enable better and faster decision-making at all levels and across the DoD.  The 2023 Strategy builds upon and supersedes the DoD’s first AI Strategy published in 2019, reported on here, and the revised Data Strategy published in 2020 to continue the DoD’s digital transformation, unifying previous guidance and enabling stronger alignment and synchronization to scale advanced capabilities for use across the DoD. Continue Reading DoD Releases Additional Guidance on the Department’s Artificial Intelligence Strategy

On October 30, 2023, President Biden released an Executive Order (EO) on the Safe, Secure, and Trustworthy Development and Use of Artificial Intelligence (AI).  This landmark EO seeks to advance the safe and secure development and deployment of AI by implementing a society-wide effort across government, the private sector, academia, and civil society to harness “AI for good,” while mitigating its substantial risks.Continue Reading Biden’s Executive Order on Artificial Intelligence

On September 14, 2023, the Senate Committee on Homeland Security & Governmental Affairs hosted a hearing called “Governing AI Through Acquisition and Procurement” (Hearing).  Senator Gary Peters (D-MI) opened the Hearing, explaining that the purpose was to explore how the U.S. government would purchase AI technologies and establish guidelines and standards for the development and use of those technologies.  Sen. Peters noted that over half of AI tools used by the federal government are purchased from commercial vendors and that the U.S. government should be careful in its procurement and use of these tools.

The hearing covered a wide range of topics, including:  (i) how the U.S. government can establish standards for AI data to better serve the needs of AI vendors/contractors when procuring AI technology; (ii) potential changes to procurement training; (iii) how the acquisition process can be changed to adapt to the unique demands of AI procurement; (iv) how the procurement process can be used to influence the development of AI technologies; and (v) other topics including potential censorship, AI bias, and government overreach as discussed below.Continue Reading Congress Discusses How To Govern The Acquisition of AI

On June 29, 2023, the Government Accountability Office (GAO) released its second report[1] on Department of Defense (DoD) artificial intelligence (AI) acquisition efforts.  This latest report examines the DoD’s lack of formal AI acquisition guidance and identifies key principles from the private sector that can be applied to the DoD’s AI acquisition efforts. 

Although

On October 17, 2022, President Biden signed the End Human Trafficking in Government Contracts Act of 2022 (“the Act”) into law, amending the 2013 National Defense Authorization Act (“2013 NDAA”) to require U.S. government agency heads to refer any suspected instances of human trafficking to the agency’s suspension and debarment official (“SDO”) for consideration and

As Congress considers legislation prohibiting government contractors from doing business in Russia, over 20 states have already acted. In this alert, we highlight: (i) how different states are defining Russian business operations, and the corresponding risks to differently situated government contractors; and (ii) unique aspects of certain state actions that contractors need to be aware

As we covered in a prior alert, the recently introduced Federal Contracting for Peace and Security Act (H.R. 7185) could have a profound impact on government contractors. The Act would require termination of existing contracts and prohibit awards, extensions, and renewals of prime contracts and subcontracts with companies doing business in the

On March 17, 2022, the National Institute of Standards and Technology (“NIST”) published an initial draft of its Artificial Intelligence (AI) Risk Management Framework (“AI RMF”) to promote the development and use of responsible AI technologies and systems.  When final, the three-part AI RMF is intended for voluntary use and to improve the ability to

On November 15, 2021, the Defense Innovation Unit (DIU) released its Responsible Artificial Intelligence (AI) Guidelines (“RAI Guidelines”) to help contractors and federal officials gauge whether AI technology and programs align with the Department of Defense’s (DoD) Ethical Principles for AI (as we previously reported on here). Specifically, the RAI Guidelines provide a process