Ethical and Responsible AI
Understand ethical considerations and responsibilities in developing AI systems.
Learning Objectives
Develop AI systems that are ethical and socially responsible.
Topics
Bias in AI
Identify and mitigate bias in AI models and datasets.
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Privacy and Data Protection
Study the importance of privacy and data protection in AI.
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Transparency in AI
Understand the need for transparency and explainability in AI models.
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Accountability in AI
Explore the responsibilities of AI developers and organizations.
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AI for Good
Discover initiatives and projects where AI is used for societal benefits.
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Regulations and Standards
Learn about regulations and standards governing AI development.
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AI and Job Displacement
Examine the impact of AI on employment and strategies to mitigate displacement.
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Sustainable AI
Explore the environmental impact of AI and sustainable practices.
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Realtime audio conversation for interactive session.
Interactive realtime chat session.
Live whiteboard explanation and collaboration.
Real-time wide variety of examples.
Continuous assessment and feedback.
Progress monitoring and record progress journey.
Broadcast session with larger audience for free.
Attend audience queries and provide responses.