India, July 5 -- Artificial intelligence is transforming society at an unprecedented pace, from generative chatbots in customer service to algorithms aiding medical diagnoses. Along with this promise, however, come serious risks - AI systems have produced biased or harmful outputs, revealed private data, or been 'tricked' into unsafe behaviour. In one healthcare study, for example, red-team testing found that roughly one in five answers from advanced AI models like GPT-4 was inappropriate or unsafe for medical use. To ensure AI's benefits can be realized safely and ethically, the tech community is increasingly turning to red teaming - a practice of stress-testing AI systems to identify flaws before real adversaries or real-world condition...