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AI Risk and Data Protection Essentials
How data protection, confidentiality and bias risks apply to everyday AI use, and the simple controls that reduce them.
- Level
- Intermediate
- Duration
- Half day
- Format
- In-house or open cohort
- Online
- Paid
What you will learn
- Recognise when AI use involves personal or confidential data
- Describe the main accuracy, bias and accountability risks
- Apply simple controls and keep useful records
- Know when to escalate to your data protection lead
Lessons
1. Personal data and AIFree preview
What data protection expects when personal data enters an AI tool. Open lesson
2. Confidentiality, IP and contractsPaid
Client information, commercial terms and who owns what an AI produces. Open lesson
3. Accuracy, bias and accountabilityPaid
Why AI errors matter, who is answerable and how to evidence your checks. Open lesson
4. Practical controlsPaid
Lightweight steps and records that reduce risk without slowing work down. Open lesson
Who it is for
- Staff handling personal or client data
- Data protection, risk and compliance teams
- Managers who need a working understanding of AI risk
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