to national security, economic security, public-private partnerships, and investments. (B) Means and methods for the United States to maintain a technological advantage in artificial intelligence, machine learning, and other associated technologies, including quantum computing and high performance computing. (C) Developments and trends in international cooperation and competitiveness, including foreign investments in artificial intelligence, machine learning, and computer science fields. (D) Means by which to foster greater emphasis and investments in basic and advanced research to stimulate private, public, academic, and combined initiatives in artificial intelligence, machine learning, and other associated technologies, including quantum computing and high performance computing. (E) Education effects and incentives to attract and recruit leading talent in artificial intelligence and machine learning, including science, technology, engineering, and math programs. (F) Workforce effects, displacement of workers, and the role of government or industry in retraining displaced workers. (G) Risks associated with United States and foreign country and non-state actors advances in military employment of artificial intelligence and machine learning, or acquisition of the same, including under the international law of armed conflict, international humanitarian law, and escalation dynamics. (H) Associated ethical considerations related to artificial intelligence and machine learning as it will be used for future applications. (I) Means to establish data standards and provide incentives for the sharing of open training data within related data-driven industries. (J) The opportunities or vulnerabilities of intellectual property theft, copyright infringement concerns and risk associated with outside influences, whether friendly or adversarial. (K) The potential legal use by law enforcement to address technological barriers to bringing criminals to justice or aiding in broader criminal investigations. (L) Development of