Certified Specialist Programme in AI and Ethical Decision Making Cognitive Bias
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- Introduction to Artificial Intelligence and Ethical Considerations
- Cognitive Biases in AI Development and Deployment
- Algorithmic Bias and Fairness: Mitigation Strategies
- Ethical Frameworks for AI: Deontology, Utilitarianism, Virtue Ethics
- AI and Ethical Decision Making: Case Studies and Practical Applications
- Responsible AI Development Lifecycle and Governance
- Explainable AI (XAI) and Transparency in Decision-Making
- The Impact of AI on Society and the Future of Work
- Bias Detection and Mitigation Techniques in Machine Learning
- Legal and Regulatory Aspects of AI and Ethical Considerations
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Certified Specialist Programme: AI & Ethical Decision Making - Cognitive Bias Job Role Description AI Ethicist (AI, Ethics, Bias Mitigation) Develops and implements ethical guidelines for AI systems, mitigating bias and ensuring fairness.
High demand in tech and research.
AI Auditor (AI, Auditing, Compliance) Audits AI systems for compliance with ethical standards and regulations, identifying and addressing bias.
Growing field with increasing regulatory scrutiny.
Data Scientist (Ethical AI) (Data Science, AI, Ethical Considerations) Applies data science techniques to identify and mitigate bias in datasets and algorithms, ensuring responsible AI development.
Crucial role across all AI-driven sectors.
AI Policy Analyst (AI Policy, Ethics, Regulation) Analyzes the ethical and societal implications of AI technologies, informing policy decisions and promoting responsible innovation.
Increasing demand in government and consultancies.
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- BasicUnderstandingSubject
- ProficiencyEnglish
- ComputerInternetAccess
- BasicComputerSkills
- DedicationCompleteCourse
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- ThreeFourHoursPerWeek
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