A new white paper  from the Healthcare and Public Health Sector Coordinating Council (HSCC), a public-private partnership to mitigate risks to the sector, outlines nine cybersecurity concerns for artificial intelligence use in the clinical and enterprise environment and approaches to address them. According to the paper, artificial intelligence systems, especially those dependent on machine learning, can be vulnerable to intentional attacks that involve evasion, data poisoning, model replication, and exploitation of traditional software flaws to deceive, manipulate, compromise and render them ineffective.

John Riggi, AHA’s national advisor for cybersecurity and risk, said, “Although the benefits of artificial intelligence and machine learning (AIML) in health care remain positive, this excellent and timely white paper by the HSCC highlights the potential cyber and other risks associated with their deployment in health care. Employing medical device security tenets such as security by design, effective modeling algorithms, a software bill of materials, and vulnerability disclosure and management will help reduce cyber and clinical risk as AIML systems to support medical decision processes become more common.”

For more information on this or other cyber and risk issues, contact Riggi at jriggi@aha.org. For the latest cyber and risk resources and threat intelligence, visit aha.org/cybersecurity.

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