What About Big Data impact on The Innocent Bystander?

What About Big Data Impact On The Innocent Bystander?.jpg

By Sean Martin, host of At The Edge, on ITSPmagazine
 

When we talk about privacy and the potential use (and misuse) of a person's data and metadata by organizations of all shapes and sizes, it's fairly easy to connect that to the impact it could have on a specific individual. Think about it a little harder, and one might connect the dots to see how the collection and misuse of this data might impact a group of people that either use the same service(s) and/or look similar 'in the data' regardless of the service(s) being used. But, it's harder yet to naturally think about the impact the use or misuse of this data and metadata could have on the innocent bystanders of these individuals and groups.

As one simple example, if a popular maps application routinely takes its users off the freeway through a specific path that traverses a neighborhood that therefore enables those drivers to get to their destination 5 minutes sooner, who is impacted by this? Sure, the drivers that take that path are impacted with positive results - they get to arrive on time instead of being late. But what about the home owners in that neighborhood? Are they impacted? Does their traffic rise as they are trying to leave home or return home? Do they come home angry because it now takes them an extra 10 minutes to get home? Does the added traffic increase the chances their children could be hit by a car? Do they dislike the disruption (not just the driving impact it has on them, but also the fact that the noise increases, pollution increases, etc.) so much that they want to move? What about their neighbors - same thing? Does this negative feeling then transition to the likelihood that someone would want to move in to that neighborhood? Does this drive the price of the homes down in this neighborhood? What larger-reaching effects could that have on those residents?

I don't have the answers - but this is just one of the many thought-provoking topics I discussed with my co-founder Marco Ciappelli and guest Ashwin Krishnan during the latest Cyber Society podcast here on ITSPmagazine.

Listen in. Think. Be scared. Enjoy. And Share.


What could our AI do with all your data?
Something good or something evil?
How about a lot of cash?

On today’s episode of The Cyber Society, I talk about topics around the Moral Compass with Ashwin Krishnan and Sean Martin - Co-Founder and Editor in Chief of ITSP magazine.

In this conversation, we discuss few of the many options that large companies have when it comes to utilizing the big amount of data that they are, and will keep harvesting from everyone.

As they say with great powers, come great responsibility. You can be the hero, or you can be the villain, and commercial gain could obviously - most probably - be the factor that could make the difference between good and evil.

The fact is that AI will soon be able not only to understand all you are saying but also to read your facial expressions, recognize the tone of your voice, read the vital signs transmitted by your wearables and - oh, so much more personal information. Once collected, all these ingredients will be thrown into an algorithmic blender, and in a tiny fraction of a second it will serve you a “Here Is What You Want, Need or Should Do” organic and nutritious smoothie.

Cars and other sorts of machines could then act on those results. You didn’t know that you wanted a cappuccino, yet, but your phone and car did. So, there you go: Starbucks is approaching on your right in about 1 minute - and this is probably one of the nicest outcomes.

How are you going to react when that happens to you for the first time? Would you love it, hate or would you even know what is going on?

If you are looking for answers, do not listen to this podcast. 

If you are looking for food for thoughts and you want to start thinking about the technology that is already - not only surrounding us - but interacting with us, becoming part of us, then you are about to listen to a good story

Enjoy.