Data veracity
One of the key findings was concern about the use of unreliable data. For example, 70 percent believe that they face corrupted insights as a result of the potential for falsified data. Another example is the 73 percent who base critical decisions on data, yet often the data is unverified. Finally, 73 percent believed automation creates new risks including fake data, data manipulation, and inherent bias.Article continues …

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