Master ethical AI, fight algorithmic bias, ensure privacy & build trust with real case studies from Amazon & COMPAS.
Sub Category
- Business Law
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Objectives
- Define AI ethics, its scope, and the multidisciplinary frameworks that guide responsible AI
- Apply core ethical principles including beneficence, non-maleficence, autonomy, human oversight, justice, and fairness
- Identify how bias enters AI systems and apply pre-processing, in-processing, and post-processing mitigation strategies
- Understand privacy fundamentals, GDPR, and global regulations affecting AI projects
- Implement privacy-preserving techniques such as differential privacy, federated learning, and secure multi-party computation
- Explain AI decisions using explainable AI (XAI) methods like LIME and SHAP
- Build trust through transparency strategies including model cards and impact assessments
- Establish AI governance frameworks, risk assessments, and accountability mechanisms
- Analyze real-world ethical failures through the Amazon hiring tool and COMPAS case studies
Pre Requisites
- No prior knowledge of AI ethics is required; the course starts from the fundamentals
- Basic familiarity with general technology or AI concepts is helpful but not essential
- An interest in fairness, privacy, and responsible technology
- A computer or mobile device with internet access to view lectures
FAQ
- Q. How long do I have access to the course materials?
- A. You can view and review the lecture materials indefinitely, like an on-demand channel.
- Q. Can I take my courses with me wherever I go?
- A. Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don't have an internet connection, some instructors also let their students download course lectures. That's up to the instructor though, so make sure you get on their good side!
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