Programme PGP Term V Academic Year 2021-22

Course title Privacy Paradox: Artificial Intelligence and Digital Platforms Area Marketing Credits 0.50

Prof. Anuj Kapoor

Course Description & Objectives
Introduction and Objective:
With the rise of data science and machine learning, companies are awash in customer data and powerful new ways to gain insight from that data. But in the absence of regulation and clear guidelines from most federal or state governments, it's dicult for companies to
understand what quali es as reasonable use and then determine how to act in the best interest of their customers. How do they build, not erode, trust? This course will help students develop strategies that allows a company to be a good steward, collecting, using, and storing
customer data responsibly. This course will also equip future managers to understand privacy issues emerging due to arti cial intelligence, cybersecurity, misinformation and platform design. Speci cally, students will learn:
1. Responsibilities to Society Framework (Managing harms to third parties: Identifying harms to third parties and Determining responsibility for them.)
2. The Opportunity - Privacy trade-o , Privacy Types, Individual di erences in Privacy (Privacy Pragmatists, Privacy Fundamentalists and Privacy Unconcerned).
3. Assess Privacy Issues associated with emerging AI-based technologies in environments with limited regulation.
4. Privacy-Framework for businesses that involve patient generated health data.
5. Data Breach and Privacy Framework.
6. Privacy focused governance of Digital Platforms.
7. Framework for gathering and processing consumer data, Privacy - Data Dilemma (in the context of new regulations in data privacy e.g. GDPR).
8. Di erential Privacy Framework.

Cases and Lectures.