AI applications in healthcare, such as diagnostics and treatment optimization, bring significant benefits but also raise ethical concerns, such as data breaches, biased algorithms, transparency, and patient consent. To ensure patient trust and safety, solutions such as data encryption, diverse algorithm training, and ongoing monitoring are needed. A collaborative approach involving diverse perspectives and stakeholders, including ethicists, healthcare professionals, and patient advocacy groups, is key to developing ethical, user-centric AI systems.
Sonatype reports rise in open source malware to 17,954
The 1Q 2025 Open Source Malware Index from Sonatype revealed that open source malware packages doubled compared to the same period last year, with 56%
