Postgraduate Certificate in AI and Exclusion
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Course Details
- AI Ethics and Algorithmic Bias
- Data Justice and Algorithmic Accountability
- AI and Social Exclusion: Case Studies
- Machine Learning for Social Good
- AI Policy and Regulation
- Critical Data Studies and AI
- Designing Inclusive AI Systems
- Human-Centered AI Development
Career Path
Career Role Description AI Ethics Officer (AI, Ethics, Exclusion) Develops and implements AI ethics guidelines, mitigating bias and exclusion in AI systems.
High demand, crucial for responsible AI development.
AI Data Scientist (AI, Data, Bias Mitigation) Identifies and addresses data bias affecting AI model accuracy and fairness, ensuring inclusive outcomes.
Strong analytical and programming skills needed.
AI Policy Analyst (AI, Policy, Exclusion) Researches and analyses the societal impact of AI, particularly focusing on its potential for exclusion.
Shapes policy to promote equitable AI development.
Inclusive AI Developer (AI, Development, Accessibility) Builds AI systems with accessibility and inclusivity at the core, ensuring usability for diverse user groups.
Focus on reducing biases in algorithms.
Entry Requirements
- Basic understanding of the subject matter
- Proficiency in English language
- Computer and internet access
- Basic computer skills
- Dedication to complete the course
No prior formal qualifications required. Course designed for accessibility.
Course Status
This course provides practical knowledge and skills for professional development. It is:
- Not accredited by a recognized body
- Not regulated by an authorized institution
- Complementary to formal qualifications
You'll receive a certificate of completion upon successfully finishing the course.
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