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.
Cisco IOS and IOS XE Software Vulnerabilities Let Attackers Execute Remote Code
Cisco has disclosed a severe vulnerability in its widely used IOS and IOS XE Software, potentially allowing attackers to crash devices or seize full control
