AI Magazine June 2022 | Page 43

With society possessing and perpetuating long-held biases , it ’ s inevitable that machines learning from related data will reflect this inherent bias . This is particularly significant as the public data with which NLP and speech recognition technologies are trained tends to come from a small section of society . RONNY FEHLING
AI / ML

“ There are several techniques to achieve a more balanced statistical representation in datasets ”

RONNY FEHLING PARTNER AND DIRECTOR - INNOVATING THROUGH ARTIFICIAL INTELLIGENCE AT BCG GAMMA
over in-person training , and conduct video meetings – is speech recognition technology . For comprehensive speech recognition to occur , NLP identifies and interprets spoken language , converting these words and phrases into texts .
As more meetings are conducted online , businesses are beginning to see the value in transcription , as it allows important notes from the meeting agenda to be recorded , while also streamlining the next one .
Despite the expected growth of the speech and voice recognition market – which is expected to be worth US $ 28.3bn by 2026 – there are still significant issues around bias that need to be addressed .
Biased data leading to biased software Like many AI and machine learning technologies , the quality of speech recognition is entirely dependent on the data upon which it is trained .

With society possessing and perpetuating long-held biases , it ’ s inevitable that machines learning from related data will reflect this inherent bias . This is particularly significant as the public data with which NLP and speech recognition technologies are trained tends to come from a small section of society . RONNY FEHLING

Ronny Fehling prides himself on being able to align organisational vision with technical solutions in order to achieve business growth and success . He says his strength is working with global companies across industries to create value through AI , to disrupt themselves before they get disrupted . aimagazine . com 43