The localization industry is experiencing explosive growth in language-access needs, alongside the rapidly evolving technology that is impacting traditional localization roles. This landscape could be very advantageous for our industry if lack of standardization and the race to the bottom at per-word prices and sentence-by-sentence translations were not the norm. The subject of this course is the state of quality in the localization industry at mega-, macro-, and micro-levels. Translation quality will be considered through close analyses of individual language pairs, processes, and multilingual productions. Ongoing developments in artificial intelligence and machine translation will be another area of focus, since the evolution of technology further blurs the boundaries around what is already a difficult concept to define. The big picture structures, practices, and models that impact localization quality at a market level will also be covered, given their influence on the design of quality management systems. Those systems, when managed well, enable us to achieve what standardization bodies define as the principal among quality objectives: consistently meeting stakeholder requirements with localized services and products – no matter the language pair, service, or content type.