Blog post

In Artificial Intelligence We Must Trust (2 of 2)

By Bart Willemsen | April 29, 2020 | 1 Comment

More and more, especially today in the turbulent times of COVID-19, we see an almost unreasonable reliance on technology. Tracking apps for example do nothing to reduce virus impact, symptom treatment, or ‘kill the virus’ as some have stated. At best, warning signals can be provided based on (duration of) proximity to help prevent spread. Keeping a detailed history of personal movement, at best, can signal to others a potential contact moment in the vicinity of someone infected. Temperature checks only provide one measurement of one factor, and can be interpreted wrongly in many ways. Sure, we must act, and be creative. But we can’t rest on our laurels once one technology deployment has passed without scrutinizing continuously the details of the architecture, effectiveness of a tool, and without continuously developing ways to keep data secure and preserve privacy.

In a previous blog, I said that: “The technology in itself is not what we must focus on. The real value of AI sits in how we develop it, what purpose we give it, and how we then deploy it in the correct context. In how we keep the finger on the pulse and watch for desired outcomes while we control the undesired outcomes. It’s the technology that’s often untrusted in the public domain, mostly because those who create and deploy AI are insufficiently clear and transparent about its use, capabilities and purpose.”

And that’s where the European Commission comes in. With a strategy on ‘how to’ share data, enabling an environment that fosters innovation, the basis will be laid soon. And how that data will be put to use requires proper development of AI in a way that is transparent and invokes trust. Trustworthy AI. For that, a Regulatory Framework is announced and the foundation is laid in this published whitepaper. The approach will have a stick (don’t abide by the rules – then don’t do business there) but also a carrot: the plans come with announced investments of roughly EUR 21-22B.

And that’s just year one.

The notion of what is privacy, is changing. Privacy becomes fully context-based. With the extravagance of data generated by IoT and supported by an upcoming 5G infrastructure, there is a need for purposeful and trusted AI to keep in control. But the nature of how we position technology and ourselves, is also changing.

Amidst these developments, Gartner published an initial analysis on the forthcoming AI Regulations as expected from the European Union.

(note that links to Gartner research may be behind a client login or paywall, depending on your subscription)

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1 Comment

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