DATA PROTECTION AS CORPORATE SOCIAL RESPONSIBILITY
summary
Proposal claims that data protection becomes a measurable corporate social responsibility with 5 principles, 25 rules turned into auditable controls; it ships reusable icons for risky processing (won an Italian contest), a fairness‑by‑design test and a path to self-assessment + third‑party seal (self‑declaration Q4, third‑party seal Q1). Examples include Meta’s Data for Good (600 partners in 80 countries; 200M SMBs use Meta tools; 1.5M fundraiser starts raising ~$120M on one day), Rabobank’s AI loan product that moved from pilot to standard, and ongoing use of differential privacy, federated learning and MPC.
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chapters (15)
- 0:00Start
- 3:51Responsible Use of the Data
- 12:54Principle One Embed Data Protection Fairness and Security in the Design of Process
- 13:56Fairness by Design
- 14:39Second Principle
- 15:44Principle Number Three Is about Balancing Profit with the Actual Benefit for Individuals
- 16:42Business to Business Data Sharing
- 20:25Risky Data Processing Activities
- 27:29The Corporate Sustainability Reporting Directive
- 36:18Tailoring It for Humanitarian Organizations
- 45:02Federated Learnings
- 47:41.5 the Organization Should Adopt the Business Model That Permits the Fair Use of Data in a Way That Benefits Society
- 1:07:27Have You Published the Methodology so that It's Open to Public Scrutiny
- 1:11:33How Do You Define Social Good
- 1:13:35Data Governance Act
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