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AI Will Elevate Near-Term Cybersecurity Risks but — with Investment and Coordination — Can Strengthen Cybersecurity in the Long Run
News Release
To counteract emerging cyberthreats posed by artificial intelligence, the baseline level of cybersecurity across society must rise — including stronger security practices, improved software quality, faster response to threats, and more effective sharing of cyberthreat intelligence, says a new rapid expert consultation from the National Academies.
Securing AI Systems: Experts Consider Research Priorities at April Event
Program News
Experts in cybersecurity and artificial intelligence recently gathered at the National Academies to examine AI security, how existing cybersecurity tools and practices can be adapted, and emerging risks in high-impact applications such as scientific research, drug discovery, and financial services. Speakers from various organizations including Microsoft, Meta, Qualcomm, and Security Superintelligence Labs explored priorities as the use of AI-enabled systems increases.
Securing AI Systems: New Challenges and Research Priorities
Announcement
Join us on April 20 and 21 for a meeting being held to identify research priorities for securing machine learning and AI-enabled systems. The National Academies’ Forum on Cyber Resilience will convene experts in cybersecurity and AI to examine frameworks and concepts for measuring AI security, assess how existing cybersecurity tools and practices can be adapted, and explore potential risks in high-impact applications such as scientific research, drug discovery, and financial services.
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