“With the continuous evolution of AI and the ongoing work needed to embed AI decision-making in the company’s DNA, a one-off set of initiatives, even if brilliantly planned and implemented, isn’t sufficient,” the report states. Trust in data and associated AI results is something even AI leaders must work at continuously to stay on top, the survey’s authors state. The challenge for all companies, the report’s authors advise, is to “promote widespread understanding of and trust in the use of data and AI in decision-making.” This trust can be built by promoting the benefits AI will deliver to organizations, and “putting humans at the center of AI decision-making by using technology to empower, rather than replace, them.”
Plus, the interactions or data and algorithms may deliver outcomes that may confound even the data scientists that designed them. The algorithms themselves may be flawed, biased or outdated, subject to the approaches of the developers, as well as their understanding of user requirements. There may be issues with the quality of the data being fed into AI algorithms. There may be fear of AI altering or replacing jobs. Lack of trust comes from a variety of places.
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