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.
North Korean Hackers Use Fake U.S. Companies to Spread Malware in Crypto Industry: Report
North Korean hackers reportedly set up shell companies in the US to penetrate the crypto sector and target developers via fake job offers, according to
