Description

Course Overview:
This course delves into the ethical challenges posed by AI technologies. You'll explore fairness, bias, transparency, accountability, and the social implications of AI systems, learning how to develop AI responsibly.

Course Curriculum:

• Introduction to AI Ethics: Ethical dilemmas in AI, the need for responsible AI.
• Bias in AI Systems: Understanding and mitigating biases in machine learning models.
• AI Transparency and Accountability: Creating transparent and explainable AI systems.
• Fairness in AI: Techniques to ensure fairness and equity in AI systems.
• Social Implications of AI: AI’s impact on society, privacy concerns, and ethical implications in different sectors.
• Case Studies: Ethical issues in real-world AI applications such as facial recognition and autonomous vehicles.

Skills Gained:
Understanding AI ethics, designing fair and transparent AI systems, mitigating AI biases.