While cognitive technology is currently the largest area of interest for many businesses, several other emerging technologies are making their impact felt, or are poised to increase in importance in the coming years.
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Internal best practice design and controls are critical tools to ameliorate the risks in deploying cognitive technologies. However, in particularly important cases, or where the risk is unacceptably high, organisations should consider bringing in additional expertise to validate their design principles, controls or the model itself.
Robust controls must be put in place during the creation of cognitive technologies and throughout their deployment to make sure they are working effectively and as intended, as well as to detect and flag any unexpected behaviour.
Organisations need to tackle the risks associated with adopting cognitive technology so that they can benefit from the potential efficiencies and insights that it can offer.
Key risk areas that have arisen from our research include inexplicability, data protection, bias and context, as well as wider automation risks. These areas include both larger-scale strategic risks around adopting cognitive technologies and tactical considerations that may affect specific projects.
From automation of complex processes to analysis of subtle patterns to aid planning, cognitive technology can be a powerful business tool. However, the pace of innovation has been accompanied by concerns over the risks that new and emerging technologies pose, creating a demand for ways to understand, mitigate and control these risks.
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