: Discusses the responsibility of AI designers and the effectiveness of watermarking or metadata in identifying AI origin.
Arvind, a third-generation bookseller, was not reading a book. He was watching a young woman in faded jeans and a kurta, her phone pressed to her ear, navigate the chaos. She argued loudly in English, then switched to rapid Hindi, then back to English. She ended the call with a frustrated sigh and stepped into his shop. desifakes ai generated
At its core, a desifake is a form of that uses deep learning algorithms to swap faces, manipulate speech, or recreate the likeness of South Asian individuals. These can include: : Discusses the responsibility of AI designers and
: These are images or videos created using artificial intelligence (AI) and machine learning algorithms (like GANs—Generative Adversarial Networks) to swap faces or manipulate bodies. Desi Context She argued loudly in English, then switched to