Privacy & Surveillance in the AI Era
This course examines what AI changes about privacy: personal data exposure, workplace monitoring, and an organization's obligations. Learners audit their own AI privacy posture and their team's.
What this course covers
This course examines what AI changes about privacy: personal data exposure, workplace monitoring, and an organization's obligations. Learners audit their own AI privacy posture and their team's.
The course runs across 7 topics, each one a short adaptive session rather than a recorded lecture. The tutor explains the idea, works an example, checks understanding, and adjusts the next step to the answer given.
- The New Frontier of AI Privacy — An introduction to how generative AI and advanced machine learning models redefine traditional privacy boundaries and data lifecycle dynamics.
- Data Exposure: The AI Ingestion Risk — An analysis of how personal and proprietary data is ingested by public models, the mechanics of data leaks, and strategies to prevent exposure.
- Personal AI Hygiene: Securing Your Digital Footprint — Practical steps for individuals to audit their AI tool settings, manage data sharing opt-outs, and establish secure everyday AI habits.
- Workplace Monitoring: The Ethics of AI Surveillance — Examining the ethical implications, trust dynamics, and boundaries of AI-driven productivity tracking, sentiment analysis, and employee monitoring.
- Algorithmic Fairness and Employee Trust — An exploration of how automated performance scoring and behavioral monitoring impact employee trust, bias, and psychological safety.
- Org Duty: Establishing Corporate AI Governance — Defining organizational obligations regarding data custody, transparency, ethical deployment, and regulatory compliance under modern AI frameworks.
- Auditing Your Team's AI Privacy Posture — A practical framework for leaders to audit their team's current AI tool usage, identify hidden vulnerabilities, and implement ethical guardrails.
Skills you build
Results are measured against named skills in the OneRange taxonomy of more than 10,000 skills, so a manager sees proficiency per skill rather than a completion tick.
Who it is for
All employees, leaders. The material is pitched at intermediate level, and takes roughly 90 minutes at a typical pace. Because every session adapts, someone who already knows a topic moves through it quickly instead of sitting through an explanation they do not need.
It sits in the AI Ethics, Policy & Society track of the Vero AI Catalog, and can be assigned to one person, a team, or the whole company.
How it is delivered and assessed
Delivery is conversational and interactive, including branching scenario exercises. There is no video to sit through and no slide deck to click past.
Understanding is checked with a quiz assessment of 5 items, with a pass mark of 70%.
Administrators can copy this course into their own library and adapt it — edit the outline, change the duration, swap the assessment format, or ground it in internal documentation so answers cite the company's own source material.
Related
- Browse the full Vero AI Catalog
- How the OneRange platform assesses and measures skill
- What OneRange Vero is
Course code ETH-PRV.