Creating AI Solutions That Users Trust
This lesson discusses how to incorporate trust into AI systems.
We'll cover the following...
Designing trust into AI systems
A black-box that can be trusted
The Oracle of Silicon Valley and the so-called web guru and trend spotter, Tim O’Reilly says:
“The great question of the 21st century is going to be 'Whose black box do you trust?”
AI is increasingly influencing our social, cultural, economic, and political interactions. More and more of our lives are in the hands of “black boxes,” i.e., algorithms making decisions and shaping choices but whose inner workings are often a mystery even to their creators (deep learning models are an example of such black boxes). These black boxes are not only affecting us at the individual level, but algorithms are now shaping organizations and societies as a whole (hint: U.S. elections and Trump). In such a world comes the key question of trust.
Sure, Alexa doesn’t make life-changing decisions for us. Or at least not yet! But if we consider autonomous cars, for example, it becomes crucial that we ...