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.
Flaw in ESET security software used to spread malware from ToddyCat group
Researchers discovered a vulnerability in ESET’s cybersecurity software that could be exploited by state-backed hackers to secretly infect devices with malicious code. The flaw allows
