AI / ML
“ It is necessary to bring perspectives into new processes : checks and balances for bias must be woven throughout the development of machine learning systems . And , finally , through new processes – bringing a different set of perspectives to the table and including them in all phases of the project – it is possible to reach new inclusive behaviours ,” she adds .
Concluding , Sklar notes the importance of ethics and how imperative it is that regulation takes this into consideration to ensure the technology is both unbiased and ethical : “ Regardless of the regulatory requirements , ethics is critical to any technology solution , and especially true for AI-powered solutions . From a development standpoint , you can ensure you ’ re treating your users ethically and in an unbiased manner by training your AI systems with as broadly representative a dataset as possible , listening to user feedback , and constantly iterating to continue to eliminate bias where present . Although the field of voice ethics is nascent , the non-profit Open Voice Network is leading the charge in developing the standards and guidelines to make every voice experience worthy of user trust , and provide a wealth of research and recommendations to help organisations achieve those same goals .”
“ Regardless of the regulatory requirements , ethics is critical to any technology solution , and especially so for AI-powered solutions ”
EMERSON SKLAR SR . DIRECTOR , AI / ML AT APPLAUSE aimagazine . com 47