Postgraduate Certificate in AI and Discrimination Prevention
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- Foundations of Artificial Intelligence and Machine Learning
- Algorithmic Bias and Fairness
- Data Privacy and Protection in AI Systems
- AI and Discrimination Prevention: Legal and Ethical Frameworks
- Responsible AI Development and Deployment
- Case Studies in AI Bias and Mitigation
- AI Auditing and Impact Assessment
- Promoting Inclusivity in AI: Design and Implementation
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Career Role Description AI Ethics Officer (AI, Ethics, Discrimination) Develops and implements policies to mitigate bias in AI systems, ensuring fairness and compliance.
High demand in ethical tech companies.
AI Fairness Auditor (AI, Auditing, Bias Detection) Conducts audits of AI algorithms and data to identify and remediate discriminatory outcomes.
Growing need for regulatory compliance.
Data Scientist (with focus on Fairness) (Data Science, AI, Fairness) Develops and deploys AI models with an explicit focus on fairness and mitigation of bias, including techniques like adversarial debiasing.
Crucial role in responsible AI.
AI Explainability Engineer (AI, Explainability, Transparency) Focuses on creating transparent and understandable AI models, reducing the "black box" problem and enhancing trust.
Essential for accountability.
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- BasicUnderstandingSubject
- ProficiencyEnglish
- ComputerInternetAccess
- BasicComputerSkills
- DedicationCompleteCourse
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- ThreeFourHoursPerWeek
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- TwoThreeHoursPerWeek
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