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Data Privacy, Ethics & Governance
A graduate-level course examining data governance failures, privacy law, ethical frameworks, and the obligations of data professionals.
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Module 1: Foundations: Why This Course Exists
Week 1:
The recurring gap between data governance and accountability
Week 2:
Ethical frameworks as analytical tools: moving beyond compliance
Module 2: Privacy: Law, Engineering, and Its Limits
Week 3:
The US privacy landscape and why it failed to protect citizens
Week 4:
Privacy engineering: building protection into systems
Week 5:
Consent, surveillance, and the weaponization of government data
Module 3: Governance: Frameworks, Quality, and Accountability
Week 6:
Governance frameworks, accountability structures, and what happens when they are bypassed
Week 7:
Data quality, trust, and the harm of bad data at scale
Week 8:
Data security, access control, and the right to know
Module 4: Weaponized Data and AI: Where All Three Pillars Collide
Week 9:
Palantir and the architecture of weaponized data
Week 10:
Algorithmic fairness, bias, and data justice
Week 11:
Generative AI: new governance problems, old ethical questions
Module 5: Accountability, Resistance, and the Path Forward
Week 12:
Cloud governance, sovereignty, and who controls the infrastructure of power
Week 13:
Professional ethics, resistance, and the data practitioner's obligations
Module 6: Capstone
Week 14:
Capstone: integrated governance, privacy, and ethics program proposals