AI Magazine June 2022 | Page 44

AI / ML DENISE GOSNELL

AI / ML DENISE GOSNELL

Denise Gosnell ' s career centres on her passion for examining , applying , and advocating for the applications of graph data . She has patented , built , published , and spoken on dozens of topics related to graph theory , graph algorithms , graph databases , and applications of graph data across all industry verticals .
Explaining that bias in speech recognition typically manifests in two ways – either misunderstanding users or not understanding them at all , both of which have major implications for the users as well as the company developing the technology . Emerson Sklar , Senior Director , AI & ML , Applause , says : “ For users , peoples ’ acceptance of issues with speech recognition products is far lower than it is with traditional graphical apps , meaning they will become frustrated with the experience and with your brand far faster than might otherwise be expected . For businesses , the underlying purpose of implementing AI is to achieve significant ROI through either streamlining heavily manual practices or through accomplishing something otherwise impossible . Any bias present in such a system simply reduces its precision , efficiency , and ability to fulfil its commercial requirements .”
These biases are extremely important to eradicate , especially as we strive for racial and gender equality .
Sadly , as these biases are ingrained across societies , Denise Gosnell , Strategy Team at DataStax , outlines how this can have a real impact on the technology : “ In Google ’ s word2vec , the most popular implementation of word embeddings , real

“ From the shocking discovery of gender and racial bias in word2vec , a whole field of research has been sparked ”

DENISE GOSNELL STRATEGY , PRODUCT & DATA AT DATASTAX
44 June 2022