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.
Banks built rules for yesterday’s crime and RegTech is trying to fix that
Criminals are moving money across borders faster, and financial institutions are feeling the squeeze. Compliance teams feel this strain every day as they try to
