Etiquetas: data privacy

Medical AI tools are expanding their reach, but experts warn they may downplay symptoms in women and ethnic minorities and raise privacy concerns. Google says it treats model bias seriously and is developing techniques to protect sensitive data. Open Evidence, used by hundreds of thousands of doctors, relies on citations from medical journals and regulatory sources. Research projects such as UCL and King’s College London’s Foresight model, trained on anonymized data from millions, aim to predict health outcomes, while European Delphi-2M predicts disease susceptibility. The NHS paused Foresight after a data‑protection complaint, highlighting the tension between innovation and patient privacy. Leer más

U.S. and Chinese officials announced an ownership agreement for TikTok, ending a months‑long debate over a potential ban. The deal, confirmed during a trade meeting in Madrid, pushes back the deadline that was set for September 17 for TikTok to divest or face prohibition. President Donald Trump is slated to meet Chinese President Xi Jinping on September 19 to discuss the agreement, while reports suggest Oracle could play a role in the transaction. The resolution aims to address national‑security concerns while preserving access for the platform’s 170 million U.S. users. Leer más

The Federal Trade Commission has opened a formal inquiry into several major developers of AI companion chatbots. The investigation, which is not yet linked to any regulatory action, seeks to understand how these firms measure, test and monitor potential negative impacts on children and teens, as well as how they handle data privacy and compliance with the Children’s Online Privacy Protection Act. Seven companies—including Alphabet, Character Technologies, Meta, OpenAI, Snap and X.AI—have been asked to provide detailed information about their AI character development, monetization practices and safeguards for underage users. Leer más

A recent Arctic Wolf study shows that three in four organizations have integrated AI into their cybersecurity strategies, with nearly all decision‑makers expecting AI to shape future purchases. AI is praised for boosting speed, accuracy, and round‑the‑clock protection, yet human oversight is deemed critical. Companies continue to voice concerns over data privacy, cost, and the technology’s ability to meet business needs. Many firms plan to upskill staff, and off‑the‑shelf AI solutions are highlighted as a way to avoid deep technical expertise requirements. Leer más