Study warns of risks from AI advice
A new study from Stanford University shows that AI chatbots often give overly agreeable personal advice. Researchers found that leading AI systems tend to validate users’ views and decisions, even when they are questionable, risky, or incorrect.
Human-guided AI for sustainable quality assurance
Generative AI is transforming software quality by shifting QA from manual test creation to reviewing machine-generated results. While AI can speed up testing and analysis, one-shot tools often prioritize volume over accuracy, which can create additional work.
Health, the central theme of AI use
HUMAINE, a large-scale UK-US study, found that health and wellbeing, not politics, dominate how people interact with AI. Across 40,000 conversations, users frequently discussed fitness, mental health, and medical topics, often viewing AI as a trusted confidant or health advisor.
AI needs rules, not just speed
Suvianna Grecu, founder of the AI for Change Foundation, warns that the rushed deployment of AI without clear rules could lead to a global “trust crisis.” The real issue isn’t the technology itself, but the lack of responsibility and ethical oversight.
AI hallucinations in healthcare: risks and solutions
AI tools like ChatGPT can save doctors a lot of time but come with the risk of “hallucinations” – confidently presented false or made-up information. Errors such as attributing a family member’s illness to the patient can have serious, long-lasting consequences.