Human intervention, understanding and judgement are responsible for both the successes and failings of technology. However, there is no one-size-fits-all approach: Orlando Machado, chief data officer at the LEGO Group says that “different businesses require tailored approaches and different balances between human and AI.” For example, the LEGO Group requires greater human involvement for content moderation, whereas AI is used to block content, but never to approve it.
“We’re all familiar with using technology to automate decisions”, says PwC’s technology risk leader, Chris Oxborough. “However, now we’re using such powerful data analytics and AI tools to automate decisions, it becomes harder to deliver explainability. Regulators and organizations are required to ensure tools are designed, implemented and reviewed consistently to ensure acceptable outcomes.” So, it's clear that getting the right balance of human involvement with this kind of technology is incredibly important.
However, while putting too much blind faith in technology can open up bigger risks, resisting the benefits it can deliver could lead to key opportunities being lost. Transparency, then, is the key to building trust with end users.
Caroline Gorski, CEO at R2 Factory - Rolls-Royce, explains trust isn't just achieved through explainability: “The Aletheia Framework [a toolkit to guide the practical application of ethical AI projects] means we are rapidly approaching using validation techniques for AI processes that require a high degree of trust to assure users that they can simply use these processes without being presented with an algorithm.”
Watch the full panel discussion above or on YouTube here.
You can explore more about tech risk here.
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This article was originally published by WIRED UK
