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As AI spreads throughout the enterprise, organizations are having a difficult time balancing the benefits against the risks. AI is already baked into a range of tools, from IT infrastructure management to DevOps software to CRM suites, but most of those tools were adopted without an AI risk-mitigation strategy in place.
Of course, it’s important to remember that the list of potential AI benefits is every bit as long as the risks, which is why so many organizations skimp on risk assessments in the first place.
Many organizations have already made serious breakthroughs that wouldn’t have been possible without AI. For instance, AI is being deployed throughout the health-care industry for everything from robot-assisted surgery to reduced drug dosage errors to streamlined administrative workflows. GE Aviation relies on AI to build digital models that better predict when parts will fail, and of course, there are numerous ways AI is being used to save money, such as having conversational AI take drive-thru restaurant orders.
That’s the good side of AI.
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Now, let’s take a look at the bad and ugly.
The bad and ugly of AI: bias, safety issues, and robot wars
AI risks are as varied as the many use cases its proponents hype, but three areas have proven to be particularly worrisome: bias, safet …