Pentagon Pursues Artificial Intelligence
Artificial intelligence (AI) technologies such as machine learning are already being used by the Department of Defense in operations in Iraq and Syria, and they have many potential uses in intelligence processing, military logistics, cyber defense, as well as autonomous weapon systems.
The range of such applications for defense and intelligence is surveyed in a new report from the Congressional Research Service.
The CRS report also reviews DoD funding for AI, international competition in the field, including Chinese investment in US AI companies, and the foreseeable impacts of AI technologies on the future of combat. See Artificial Intelligence and National Security, April 26, 2018.
“We’re going to have self-driving vehicles in theater for the Army before we’ll have self-driving cars on the streets,” Michael Griffin, the undersecretary of defense for research and engineering told Congress last month (as reported by Bloomberg).
Other new and updated reports from the Congressional Research Service include the following.
Foreign Aid: An Introduction to U.S. Programs and Policy, April 25, 2018
OPIC, USAID, and Proposed Development Finance Reorganization, April 27, 2018
OPEC and Non-OPEC Crude Oil Production Agreement: Compliance Status, CRS Insight, April 26, 2018
What Is the Farm Bill?, updated April 26, 2018
A Shift in the International Security Environment: Potential Implications for Defense–Issues for Congress, updated April 26, 2018
Navy Aegis Ballistic Missile Defense (BMD) Program: Background and Issues for Congress, updated April 27, 2018
China Naval Modernization: Implications for U.S. Navy Capabilities — Background and Issues for Congress, updated April 25, 2018
Russian Compliance with the Intermediate Range Nuclear Forces (INF) Treaty: Background and Issues for Congress, updated April 25, 2018
The First Responder Network (FirstNet) and Next-Generation Communications for Public Safety: Issues for Congress, April 27, 2018
African American Members of the United States Congress: 1870-2018, updated April 26, 2018
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.