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José Alberto Rodríguez Ruiz, international technical director and cloud expert writes, The potential of AI is incredible but with great power comes great responsibility.
Photo: Shutterstock / pspn
AI is everywhere and the potential is incredible, but as the saying goes, with great power comes great responsibility. Unfortunately, the likes of Uber’s “God” mode or Deliveroo’s rider “Hunger Games” with its now deemed discriminatory algorithm, have both become infamous examples of what not to do.
Across all sectors, organizations are increasingly turning to AI to overcome business challenges and to propel their business forward, but how do we make sure to not be the next one grabbing those headlines for the wrong reasons? Where do the obstacles and particular pitfalls lie and how can organizations better look to get it right? The problems do not lie with AI itself but in how it is developed and used.
Getting ethicalFirst things first, organizations need to understand the reasons why ethical AI is important – beyond just not receiving bad press.
A huge benefit of AI is that it is used to make an impact at scale but that means getting it wrong or right will also have widespread consequences. Returning to those previously mentioned examples of Deliveroo and Uber, those algorithms ultimately affected many jobs and people. It’s vital not to forget that AI has a human consequence...
AI forms its patterns to produce processes for performing tasks from the data it is fed. As such, an algorithm is only as good as its data. If that data is skewed in some way, it will affect the eventual output and once patterns have been founded, AI will continue to simply follow them. Consequently, quality data is of the upmost importance, as well as understanding where that data comes from. organizations must use current, clean data and if needed, clean up data before taking any steps. In the end, the algorithm essentially implements the patterns hidden in the data; it’s data that does the heavy lifting.
Source: ITProPortal
