5 things about AI you may have missed today: Meta implements new policies to combat deepfakes, China may misuse AI, more

tech.hindustantimes.com:

Meta implements new policies to combat deepfakes; AI-powered diabetes program revolutionises health management; AI-powered diabetes program revolutionises health management; Study Reveals Racial Bias in AI Chatbots- this and more in our daily roundup. Let us take a look.

Meta, the parent company of Facebook, implements new policies addressing deepfakes and altered media. It will introduce "Made with AI" labels for AI-generated content, expanding to include videos, images, and audio. Additionally, more prominent labels will identify manipulated content posing high deception risks. Meta shifts from content removal to transparency, aiming to inform viewers about the content's creation process, according to a report by Reuters.

Also read: X expands access to Grok chatbot for premium subscribers amidst competition

China may employ AI-generated content on social media to influence elections in countries like India and the US, asserts Microsoft. Despite low immediate impact, China's increasing use of AI in manipulating content poses long-term risks. North Korea is also implicated, in using AI to enhance its operations and engage in cybercrimes, according to the latest report by Microsoft Threat Analysis Center, PTI reported. 

Also read: Google to introduce new tool to identify unknown callers directly through the Pixel phone app

A groundbreaking AI-driven diabetes program, endorsed by experts, offers personalised advice to combat chronic metabolic diseases, particularly during religious fasts. TWIN Health's innovative Whole Body Digital Twin technology creates personalised nutrition plans, aiding blood sugar control. Experts hail it as revolutionary, potentially transforming diabetes management, especially during fasting periods like Ramadan, by providing data-driven insights for informed health decisions, PTI reported. 

AI chatbots exhibit racial biases, favouring white-sounding names over Black ones, warns a Stanford Law School study. For instance, a job candidate named Tamika