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James W. Marshall andChatGPT3.5 have one thing in common.
Both sparked a rush and changed the world.
EMEA CTO at Cohesity.
But how can AI be tamed?
Only those with the necessary privileges can kick off the data sources.
These roles should also reflect that someone not allowed to open specific data sources for legal reasons cannot.
And that geographic constraints such as data sovereignty are tightly controlled.
This blind spot may have legal, moral, and ethical consequences.
A rigorous judge will want to know how the AI models were trained to achieve the fatal outcome.
You would also be required to keep an entire version history of model training for the prescribed period.
This will enable companies to create more transparency for customers and improve the quality of the learning process.
For years, Tesla has trained its AI to drive autonomously in real traffic situations.
But how do you protect the essence of years of learning from loss and incorrect input?
How do you protect your intellectual property from being included in AI training unlawfully?
This leads us nicely back to approaching AI in a responsible and governed manner.
They need a workaround that has already been established in other IT areas.
In IT security, tried and tested methods can also be useful for better-protecting AI models.
Companies need to consider this and take advantage of it when considering the risks of AI.
We’ve compiled an extensive list of the best AI tools.
The views expressed here are those of the author and are not necessarily those of TechRadarPro or Future plc.
