Should humans ever trust AI?

Siri seems to lack expertise on matters of trust

However, as I started to research the topic I realised that the words really matter. “Humans should never trust AI” is a very broad statement. This means we have to think about humans in the broadest sense. Not experts, not industry but actually the general public. This also means that when we talk about trust we need to consider it in the terms that most humans understand it. This brought me to the following argument.

Our team followed up this argument with a further elaboration of situations where human trust in AI has been misplaced, with examples from autonomous vehicles to algorithmic bias. We closed by questioning the framing of the question. Trust in AI implies trust in a technology but what we’re really talking about is trust in the institution’s that develop, own and run AI. The oppositions arguments focussed strongly on trustworthy AI, how this is a maturing field in a relatively new discipline, but one that is being taken seriously by academic, business and regulators. Ultimately, they argued, this is going to allow humans to trust in AI.

Surprisingly there were significant areas of alignment between the opposing sides. Those of us for the proposition argued that rather than trusting AI we need to ensure that AI systems are designed to keep humans in the loop and to support human agency and autonomy. Those against the proposition argued that the current ethical guidelines ask for human oversight and explainability in AI.

So who won the debate? Well the voting took an interesting approach. The audience was polled before and after the debate, and was judged on opinions shifted. Before it was 15% for and 85% against the motion “humans should never trust AI”. After, it was 20% for and 80% against, so we moved 5% of the audience. A small leap for mankind? I see it more of a balancing of the scales as applications of AI move beyond automation and human factors are not just considered but valued.

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