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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We have been speaking about AI with poor data and extreme events in recent blogs and there is a chapter touching on this in our book. Big data, machine learning and AI can only work if, well, big data exists. A recent MIT study has shown this. AI with poor data and extreme events, a risky mix In mining, dams failures are relatively rare events despite what sensationalistic media and activists state without delving with detailed numeric analyses or by…
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The singularity scenario is well known. AI becomes overnight smarter than us. We become a hazard (aren’t we already?) to our planet, generating consequences, hence risks. Machines get rid of us because of that very reason and because we may hinder their mission. It is only a matter of point of view, right? Before that night AI was only 50% as smart than us. The giant “last night” leap is the result of exponential growth. We have all seen it…
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