Join Michelle Dennedy for an in-depth discussion in this video Privacy and emerging technologies, part of Understanding & Prioritizing Data Privacy.
- In many ways, the first 30 years of innovation were really turning it on and making it work. We didn't have a lot of choice. We did what the innovators told us to do. And it was exciting and good. The next 30 years in innovation, we get to decide what happens to us, what will the machines do for us, with us, without us? Look at the innovations that we know about now. It's a sneak peak into the future. Block chain technologies, the internet of everything, everywhere, cameras, recording devices, biometrics in our homes.
The way we think about work and education and play. All evolving and very data-centric and data-heavy ways. Rather than retreating and just assuming that tsunami of information is going to come and sweep away our ability to act on things and happen to things or just make things happen to us, we have the opportunity to innovate into the space through techniques like privacy engineering.
To think through the why of data as much as the what of data. So data isn't being collected just because we can, sometimes it might be, but should it? Can we instead flip it on its head and think of the business outcomes, the cultures that we can grow, the new societies and relationships that we want to have, the understanding of our differences that we must have to survive as a species. All of these things is us happening to data, to innovation, to machines, and understanding what's next.
And I think that information that is gleaned from data is going to change in character over time in ways that I can't even imagine. But I do know that data artifacts as that they exist today, will look and be soon to be something different in the future. That bowl cut I had in 1972, it's still a bad haircut today. However, that person that I was as a fresh kid right out of college with all the hope and energy in the world, that I hated because I felt like such an awkward dork, is someone I look back and cherish now.
And as I see daughters growing up as the least dorky but cool, nerdy, delicious human beings that they are, the way they see themselves today will be different than the way they see themselves tomorrow. So think about our data trails in a similar light. The information that is automatically and passively collected about us today, maybe put into systems tomorrow that make decisions about us that may have nothing to do with what we need or want or even want to build in the future.
We have the ability through privacy engineering techniques to actually manage that scenario and at least try to understand where the data is today, what is its context, what is its provenance, where does it come from, who owns it, who had access to it, et cetera. So that when we get to tomorrow, and we have all new datasets, we have all new analytics, we have all new machine learning, we can at least hope to figure out have we gone in the direction that we wanted to go, is there a new direction? More than the limitations of capability of technologies, we are now limited only by our own imagination in building a data environment and an information future that we want to build.
- What is data privacy?
- Privacy vs. secrecy
- Trust and integrity
- What consumers expect
- Privacy solutions