AI-Generated Voices: The Race to Create and Detect
AI-Generated Voices: The Race to Create and Detect The AI-generated voice industry offers revolutionary possibilities in communication and entertainment. However, it also creates the need for advanced technologies to detect synthetic voices. This is crucial for protection against potential abuses in a digital reality that is increasingly difficult to distinguish. Advances in neural text-to-speech conversion are producing more realistic AI voices. Deep learning models capture minute nuances of human speech and natural expression. These synthetic voices are used in…
Read moreThe Biggest Risks of the Rapid Rise of Artificial Intelligence
A group from the Massachusetts Institute of Technology (MIT) has compiled hundreds of reasons why we should be cautious about the rapid rise of artificial intelligence. MIT FutureTech has created a database with over 700 risks associated with AI. These risks are classified by cause and categorized into seven different domains. The primary concerns related to the rapid rise of artificial intelligence include security, bias and discrimination, and privacy issues. Here are five significant risks that seem particularly serious:…
Read moreAI Watermark: OpenAI’s Dilemma in Detecting AI-Generated Content
OpenAI stands at a crossroads. Should it release watermarking technology to detect academic cheating, or should it allow the tool to help with language learning, efficient business communication, and overcoming language barriers? Solutions for detecting AI-generated text already exist, but it is surprising that OpenAI is leading the way. The invisible “fingerprint” that AI would embed in generated text, similar to a watermark on photos, enables highly accurate identification of whether the text was AI-generated or written by a…
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