In these days of AI, IoT and other technological developments Risk assessment and automation bias have to be discussed. The definition of Automation bias covers the propensity users have to favor suggestions from automated decision-making systems. Victims of automation bias will ignore contradictory information made without automation, even if it is correct. Automation bias is the last of a long dynasty Automation bias is heir to a dynasty of biases based on the same principle, but seemingly very different one from another,…
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.Convergent Quantitative Cyber Risk Assessment to Optimize Enterprise Reliability will be the theme of our paper at CIM 2018 conference. Reportedly KPMG’s Toronto office produced a text entitled “Insights Into Mining” stating that mining companies “may be” underestimating the risk of cyberattacks. Indeed they consider this risk will increase as more companies embrace mining automation, IoT, etc. The report also emphasizes that mining executives believe based, like usual, on “feeling and perceptions” that innovation and the risk of disruption are…
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Recently a client called us in to help determine the criticality of each element (division) of their business. They had developed a qualitative and indexed approach (FMEA/PIG risk matrix style). However they realized it neither yielded enough specific high quality information nor allowed sensible and informed decisions. We analyzed their system and found that the 80-20% rule in Risk Management practice: a way out of the overwhelming syndrome was true. More specifically they had difficulties in: Defining the appropriate level…
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