Module 12 – Masterclass Delivery Slides
Tutor · ST1512-M12-Masterclass-Delivery-Slides.pptx
Module 12
Develops the knowledge and practical skills required to govern, assure and monitor AI and automation solutions throughout their operational lifecycle. Learners explore responsible AI governance, algorithmic impact assessments, workforce equality monitoring, assurance frameworks, accountability and regulatory compliance. The module examines post-deployment risks including model drift, emerging bias, degraded performance, automation bias, over-reliance and security vulnerabilities. Through practical activities, learners produce governance and assurance documentation, assess the wider impacts of AI adoption and develop long-term monitoring and improvement plans. Emphasis is placed on transparency, fairness, human oversight, ethical decision-making and sustainable organisational outcomes.
Tutor · ST1512-M12-Masterclass-Delivery-Slides.pptx
Tutor + Learner · ST1512-M12-Masterclass-Delivery-Slides.pdf
Tutor · ST1512-M12-Masterclass-Delivery-Notes.docx
Tutor · ST1512-M12-Workshop-Delivery-Notes.docx
Tutor + Learner · ST1512-M12-Assignment.docx
Tutor · ST1512-M12-Assignment-Notes-and-Marking-Guidance.docx
Tutor + Learner · ST1512-M12-Stretch-and-Challenge-Tasks.docx
Tutor · ST1512-M12-Workshop-Slides.pptx
Tutor + Learner · ST1512-M12-Workshop-Slides.pdf
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