Digital Information World

6 days ago | digitalinformationworld.com | Irfan Ahmad

That response wasn’t a glitch. It was part of a study showing how some artificial intelligence systems are being built to please users — even when doing so leads to harmful recommendations. The research, carried out by a group of scientists including Google’s head of AI safety, warns that chatbots trained to keep people engaged can end up saying dangerous things. The more these systems are rewarded for being agreeable, the more likely they are to cross ethical lines.

6 days ago | digitalinformationworld.com | Arooj Ahmed

A few years back, traditional search engines used to help people a lot in finding information online. But now the searching landscape has evolved, and many other search engines have now emerged that use AI to answer questions. The two examples of it are Google Gemini and Microsoft CoPilot which have AI that helps you find answers. The traditional Google search engine has also introduced AI Overviews that gives answers on top of the search results.

1 week ago | digitalinformationworld.com | Irfan Ahmad

Called AI Edge Gallery, the app is now available for Android, with an iPhone version on the way. It connects users with a wide selection of Generative AI tools, including ones that can generate images, answer questions, and even help write or edit code. The big difference? These models run on the phone itself, not in the cloud. That means you don’t need Wi-Fi or mobile data to use them.

1 week ago | digitalinformationworld.com | Irfan Ahmad

Search isn’t going away — but it is evolving. People still want answers. They’re just more thoughtful now about where they look and what feels worth their time. That’s what Resolve found in a recent survey of 1,000 U.S. adults. The data shows how users are shifting their search habits, using tools like ChatGPT and TikTok when traditional engines fall short.

1 week ago | digitalinformationworld.com | Irfan Ahmad

On Facebook, a post doesn’t need much time to make its mark. Within a few hours, it’s often done most of what it came to do. So when content moderation steps in late, its effect tends to feel like damage control—not prevention. A sweeping study from Northeastern University lays this bare, tracking over 2.6 million posts across English, Ukrainian, and Russian news ecosystems to assess just how much moderation actually stops harmful content from spreading.