The AI architect who scaled a multilingual safety system to 60 million users explains what responsible AI actually looks like

Ask most people what responsible AI looks like and you will get a list of principles. Ask Harsh Singhal and you will get a system architecture. That difference, between stated principles and operational systems capable of enforcing them, has defined the central problem of his career. Across roles at LinkedIn, Netflix, Adobe, Koo, and now Glean, Singhal has worked in environments where responsible AI was an engineering requirement backed by real consequences, and the systems had to hold up under the full pressure of production. The post The AI architect who scaled a multilingual safety system to 60 million users explains what responsible AI actually looks like appeared first on Digital Journal.