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Were in the midst of anAIhype cycle.
On either side are extremes: from solving all problems, accelerating humanitys demise, to being massively overhyped.
In the middle is everyone else with varying degrees of awareness of both the opportunities and risks.
Its human nature to understand how things work, even if it is at a conceptual level.
So the opaqueness of AI is undermining the trust we might place in it.
And this trust is something that needs to be established soon.
CEO and co-founder of Mindgard.
For one thing, AI has been successfully used for decades in business for finding patterns or making predictions.
Its a situation that most technologies now considered commonplace have been through.
This has significant implications for all aspects of deploying AI.
The doctor will see you now
Think of it like going to a doctor.
Twins, for instance, have the same DNA but can develop different ailments.
Doctors are looking at the problem your illness through a socio-technical lens.
Right now, there is acting like different framings between the social and the technical.
We talk about social engineering, insider threats, educating employees on the risks of opening unfamiliar attachments.
Separately, we deploy technical measures to provide security or mitigate the impact of attacks.
This highlights multiple points to consider.
Further complexity with pervasive AI
How is this any different from any other tool or technology solution?
The average user is having what they think are conversations with AI.
Even with clear warnings, most users arent going to distinguish what is and what is not AI.
The challenge is significant, but so is the opportunity.
With the right approaches we can ensure that AI enhances our world without compromising the trust that underpins it.
The journey to secure AI isnt just about protecting systemsits about shaping the future.
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The views expressed here are those of the author and are not necessarily those of TechRadarPro or Future plc.
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