AI and Surveillance Governance
Readiness training. Guarding.Tech does not grant any official certificate, licence or authority.
Vendors now offer cameras that recognise faces, read number plates, count people, detect "unusual behaviour", spot a weapon, or claim to read emotions. Some of these tools are useful. All of them collect personal data about large numbers of people who have done nothing wrong, and some make mistakes that fall hardest on particular groups. Regulators and courts in many countries are now asking hard questions. Before your organisation switches on one of these tools, a manager must be able to answer: why do we need it, is it lawful, is it fair, and who checks it?
Focus: a clear purpose, a lawful basis, a written impact assessment, a human who decides, strict rules for any watchlist, hard questions for vendors, and regular checks.
Learning objectives
- Name the main types of AI-based surveillance tools and what they do.
- Explain the main risks: errors, bias, function creep and loss of trust.
- Apply a necessity and proportionality test before using a tool.
- Carry out a basic privacy or data-protection impact assessment.
- Set rules for human review, watchlists, retention and access.
- Ask a vendor the right questions before buying.
- Describe the main legal limits in India, Australia and the European Union.
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