Privacy engineering is still an emerging field. Learn some of the opportunities for innovation in today's data-centric world.
- Innovation is everywhere in the data field today. … How we've always done it … is probably my least favorite phrase in the world. … How we've always done it is the way we used to do business. … How we've always done it is a way not to evolve … in the information economy, … and to be stuck in the past. … Instead, innovation can be thought of … in the privacy engineering context … as looking at each level of process, … each level of solutioning, … each level of getting to accountability, … getting to profitability, … getting to transparency. … Whether you're an identity management guru, … and you can somehow figure out … how to change the context of someone's identity … as they move through their day, … as they move through their geographic space. … If you're someone who understands how to fractalize data … into separate packages … and have it come together only in a contextual moment, … and only for that moment. … If you're someone who is studying quantum encryption … and understanding what happens next …
- Relate the concept of data as intellectual property.
- Examine the ways in which moral, legal, and ethical concerns apply to data privacy.
- Explain how context applies to personal private information.
- Recognize the motivations of individuals accessing data they are not authorized to access.
- Define the implications of moral crumple zones.
Skill Level Intermediate
1. What Is Data Privacy?
2. The Importance of Data Privacy
3. What's at Stake?
4. Privacy Solutions
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