Ethical challenges around the augmented workforce The advent of generative AI has created anxieties around ethics and trust . Britt outlines three guiding principles at IBM : humans make the decisions , the decisions need to be transparent , and that data ownership resides with the creator .
“ We want to build our technology and experiment in a way whereby the individual , the manager , the practitioner , the SME makes the decisions , not the technologies . The second one , which is equally important , is that the decisions need to be explainable and transparent . That way when you have some strong principles around explainability and transparency , you build trust within your workforce and indeed within your customers . “ The third principle is that all of the data that you are analysing and using to make your decisions or recommendations is owned by the owner of the data . In an age where actors , artists and musicians are concerned about the way that their copyright might be infringed by technology , we want to put a clear marker down that the data is owned by the creator , the originator of the data , not by the technology or tools .
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