In a world where AI is increasingly stitched into the very fabric of our society and we start to rely on it for complex decisions including those which have potentially life or death ramifications, shouldn't there be a common understanding of the rationale behind AI reaching a final decision?
This week, the Pardon The Disruption podcast team welcomes Gus Bekdash, Senior Managing Director of AI Solutions at IPsoft (www.ipsoft.com) & Vanessa Bates-Ramirez, Senior Editor at Singularity University (https://singularityhub.com/author/vbatesramirez/#sm.0001676oghr96fqjq9a1ha6301jy1)
While it may be clear to understand why we need to explain AI, how we get there is far less clearer. There are a couple of dimensions to understand; (i) What is the goal set being programmed into the platforms and (ii) Once it has those optimization parameters how does it reach the final decision?
But while skeptics tend to blame the developers of the technology for not clearly defining the goal sets being programmed, Gus believes the importance of getting these decisions right requires more people to have a seat at the table.
Vanessa recently attended SXSW in 2019 where Explainable AI was a hot topic. At the event, she surfaced two schools of thoughts developing as it relates to Explainable AI. On one hand, there are people who believe that these AI systems should be explainable and no further progress should be made until we do this. Conversely, waiting for perfection will waste time and potential gains AI could yield.
What do you think? Do you think countries in the West will hit the brakes on AI-related progress because of the complexity of understanding AI's rationale whilst countries further East slam down the accelerator?
Regardless of whether you are bullish, bearish, or skeptical - the topic of Explainable AI will continue to be debated publically and privately.
Check out Vanessa's article on Explainable AI on Singularity Hub (https://singularityhub.com/2019/03/19/to-be-ethical-ai-must-become-explainable-how-do-we-get-there/)
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