On March 1, 2021, the National Security Commission on Artificial Intelligence (NSCAI) released its 700-page Final Report (the “Report”), which presents NSCAI’s recommendations for “winning the AI era” (The Report can be accessed here). This Report issues an urgent warning to President Biden and Congress: if the United States fails to significantly accelerate its understanding and use of AI technology, it will face unprecedented threats to its national security and economic stability. Specifically, the Report cautions that the United States “is not organizing or investing to win the technology competition against a committed competitor, nor is it prepared to defend against AI-enabled threats and rapidly adopt AI applications for national security purposes.”
In the Final Report, NSCAI makes a number of detailed policy recommendations “to advance the development of AI, machine learning, and associated technologies to comprehensively address the national security and defense needs of the United States.” The Report, its findings and recommendations all signal deep concern that the U.S. has underinvested in AI and must play catch-up in order to safeguard its future.
Continue reading “The U.S. in the AI Era: the National Security Commission on Artificial Intelligence Releases Report Detailing Policy Recommendations”
On February 11, 2019, President Trump signed an Executive Order on “Maintaining American Leadership in Artificial Intelligence.” The Executive Order (EO) recognizes that the United States is the world leader in AI research and development (R&D) and deployment,” and that “[c]ontinued American leadership in AI is of paramount importance. . . .”
Continue reading “New Executive Order on Maintaining American Leadership in Artificial Intelligence”
On November 7, the FCC—in a relatively terse Public Notice—announced that it would hold a Forum at its headquarters on November 30 designed to focus on artificial intelligence (AI) and machine learning by having experts in AI and machine learning discuss the future of these technologies and their implications for the communications marketplace.
Continue reading “FCC Announces its Agenda and Speakers for its AI and Machine Learning Forum”
On November 7, Federal Communications Commission Chairman Ajit Pai issued a Public Notice announcing a first ever FCC Forum focusing on artificial intelligence (AI) and machine learning. This Forum will convene at FCC headquarters on November 30 and will feature experts in AI and machine learning discussing the future of these technologies and their implications for the communications marketplace.
Continue reading “The FCC Wades into the Artificial Intelligence (AI), Machine Learning Pool”
Artificial Intelligence (AI) can be employed in a health care setting for a variety of tasks, from managing electronic health records at a hospital, to market research at a benefits management organization, to optimizing manufacturing operations at a pharmaceutical company. The level of regulatory scrutiny of such systems depends on their intended use and associated risks.
In the U.S., for medical devices using AI, one of the key regulatory bodies is the Food and Drug Administration (FDA), especially its Center for Devices and Radiological Health (CDRH). CDRH has long followed a risk-based approach in its regulatory policies, and has officially recognized ISO Standard 14971 “Application of Risk Management to Medical Devices.” That standard is over 10 years old now, and therefore is currently undergoing revisions – some of which are meant to address challenges posed by AI and other digital tools that are flooding the medical-devices arena.
Continue reading “US FDA Approaches to Artificial Intelligence”
On February 13, 2018 FDA approved a software application with clinical-decision support capability, in this case alerting providers of a potential stroke in patients. The system, “Viz.AI Contact,” is developed by a US/Israeli company named Viz.ai, which uses artificial intelligence and machine deep learning for analyzing medical images. Earlier in January, this system also received a CE Mark from the European authorities.
Stroke is caused by an interrupted blood supply to the brain; for example, due to a blood vessel’s rupture. Stroke is among leading causes of mortality and long-term disability in the U.S. and other countries. The Viz.AI Contact system analyzes brain computed tomography (CT) scans, identifies a suspected large vessel blockage, and sends a text notification to the health care specialist.
Continue reading “FDA Approves Software Application That Alerts Providers of Potential Stroke in Patients”