Fiji Sun

Meet ‘Tala’ the AI Agent That Speaks Samoan

- Matthew Ensor.

An artificial intelligen­ce (AI) agent named Tala may open the door on a new way of gathering feedback from New Zealand’s Samoan community.

The Talanoa Project is a pilot project that uses IBM’s artificial intelligen­ce virtual agent solution, Watson, to interact in real time in Samoan for public consultati­on and community engagement. Developed and designed by Beca, business director Matthew Ensor said it was about consulting with ‘the silent majority’ in the public on projects and community facilities.

“We don’t hear so much from the people where language is a barrier, where culturally there’s no tradition of responding to public consultati­on. We then created a conversati­onal agent, it’s like a chat-bot and what it does is it mimics the kind of conversati­on that you would have with a consultati­on expert,” Mr Ensor said.

“It will ask open questions about your thoughts on different things and really lets the person lead the conversati­on rather than a survey form where the questions are completely scripted.”

Steve O’Donnell from IBM New Zealand’s Managing Partner for

Global Business Services said this was the first time IBM Watson Assistant had been used for public consultati­on in New Zealand in a language other than English. “What we are seeing now is AI being able to scale down, and drive value in many industries,” he said.

“IBM Watson has already transforme­d the world of customer service, due largely to its ability to understand human sentiment and interact naturally with people and Tala is a promising first step towards that.”

The Talanoa Project, part funded by Callaghan Innovation, tested Tala among a few dozen Samoan speakers, asking them for their thoughts on their local community facilities.

The focus group of Samoans ranged from 19-years of age to 77 being the oldest and included Samoan elders, law students, psychologi­sts and sociologis­ts.

“It was overwhelmi­ngly positive the response we got back from the Samoan community,” Mr Ensor said.

“We had a few people share that it was great to hear technology using their native language. We had feedback from people saying they were culturally at ease, which they wouldn’t have had if it were an English-speaking AI.” However, there were cultural and technical challenges facing the researcher­s with Tala.

“Initially we thought our biggest challenge with Tala would be getting the translatio­n working in real time and being correct. If you have ever used Google translate, you’ll know it’s not that accurate,” Mr Ensor said.

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