AI accent translation in call centers sparks ethical debate

ENGLAND, UNITED KINGDOM — AI accent translation technology, which neutralizes accents in real-time for contact center agents, is transforming communication but raising ethical concerns.
Developers tout its ability to reduce miscommunication and improve customer satisfaction, yet critics argue it may reinforce biases against non-native accents while erasing cultural identity.
Promise of AI accent translation
In an article by Danny Wareham, a certified business psychologist, he highlighted that AI accent translation is marketed as a tool to enhance communication by neutralizing accents in real-time, potentially improving customer satisfaction and call efficiency.
Teleperformance‘s Deputy Chief Executive Officer, Thomas Mackenbrock, believes it “creates more intimacy, increases the customer satisfaction, and reduces the average handling time, it is a win-win for both parties.”
Proponents of this technology underline its ability to break communication barriers, thereby achieving better results in industries that operate across global borders, such as call centers.
Wareham says that although the technology seems to resolve accent concerns, it eliminates a more significant issue faced by non-local accented workers. The act of discriminating against others based on their speech patterns prevents people from being assessed fairly with respect to their intelligence and reliability.
The use of AI accent translation might support prejudicial beliefs about problematic accents while avoiding efforts to tackle actual discrimination against different voices.
Ethical implications of modifying voices
The rise of AI technologies capable of altering fundamental aspects of human expression raises profound ethical questions.
AI accent translation highlights the tension between accommodating communication and potentially erasing cultural identity.
Although this technology has advantages in helping companies, criticism, such as racial discrimination, is prevalent.
Wareham noted that by modifying voices to conform to certain expectations, there are risks homogenizing human voice and expression and undermining the value of linguistic diversity.