Understanding and Prioritizing Data Privacy

Course details

Get an introduction to the basics of data privacy: what it is, why it matters, and who it impacts, from consumers and private citizens to policymakers and C-suite business leaders. Michelle Dennedy, one of the data privacy community's strongest advocates, uses straight talk and engrossing stories and scenarios to illustrate why data privacy is becoming one of the most critical technology issues in our world today. Find out how organizations can build more robust systems, and extract maximum value from the data we do have access to. Explore what happens when data gets into the wrong hands, and learn what we need to know in order to protect ourselves in the face of a data-driven future.

Learning objectives
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.

Concepts

0. Introduction

01 - Protect personal information and foster trust
02 - Privacy overview and basic definitions
03 - Privacy vs. data protection

1. Getting Comfortable with the Basics

04 - Data tells a story
05 - Data as intellectual property
06 - PII vs. PI vs. Personal Data
07 - Privacy vs. secrecy
08 - Integrating ethical AI reviews into your privacy practice

2. Why Should Anyone Care About Privacy

09 - Data as a personal descriptor
10 - The organization s perspective
11 - Privacy is contextual
12 - Trust, integrity, and ethical inputs and outcomes
13 - Gaining and maintaining or repairing consumer trust
14 - Consumers want transparency

3. What's the Harm Does Privacy Matter in the Age of AI

15 - Protecting the story
16 - Vulnerability impacting a system
17 - Bad actors with data
18 - Response and repair after an incident
19 - Data is valuable and creates new economies

4. Privacy Solutions and Futures

20 - Trust, transparency, ethics, and accountability
21 - Planning for privacy as a company
22 - Understanding individual responsibilities in data privacy
23 - Embracing privacy engineering for effective data protection
24 - Moral crumple zones - Responsible building and ethics
25 - Emerging privacy technology
26 - PETS

Conclusion

27 - Guardians of trust