Responsible AI Development in the UK
A practical foundation in fairness, privacy, transparency, safety, security, accountability and human-centred AI development.
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Last updated: 09/2026
£199.99
Responsible AI Development
This course introduces the principles and practical habits required to build and deploy AI responsibly. Learners move from ethical concepts to concrete development and governance activities.
Course Curriculum
Section 1: 01 - What Responsible AI Means
01 - What Responsible AI Means
Section 2: 02 - Problem Definition and AI Appropriateness
02 - Problem Definition and AI Appropriateness
Section 3: 03 - Data Quality, Provenance and Minimisation
03 - Data Quality, Provenance and Minimisation
Section 4: 04 - Fairness and Non-Discrimination
04 - Fairness and Non-Discrimination
Section 5: 05 - Transparency and Explainability
05 - Transparency and Explainability
Section 6: 06 - Privacy by Design
06 - Privacy by Design
Section 7: 07 - Safety, Reliability and Robustness
07 - Safety, Reliability and Robustness
Section 8: 08 - AI Security and Misuse
08 - AI Security and Misuse
Section 9: 09 - Human Oversight and Human-Centred Design
09 - Human Oversight and Human-Centred Design
Section 10: 10 - Responsible AI Development Lifecycle
10 - Responsible AI Development Lifecycle
Section 11: Final Responsible AI Assessment
Final Responsible AI Assessment
Course Instructor
Karen Wright
MBARegulations & Strategy Specialist with a strong focus on technology, compliance, and strategic development. Experienced in navigating regulatory frameworks, identifying emerging risks, and translating complex requirements into practical business strategies. Passionate about supporting innovation while ensuring sustainable, compliant growth in the tech sector.
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