Ethical and Responsible AI Governance

Übersicht

Explore the critical principles and frameworks surrounding ethical and responsible governance of artificial intelligence in this course offered by NITTTR. Delve into the moral, social, and regulatory dimensions of AI deployment, examining how organizations and policymakers can ensure that AI systems are developed and used in ways that are fair, transparent, accountable, and aligned with human values.

Gain insights into key governance challenges such as bias mitigation, data privacy, algorithmic accountability, and the societal impact of AI technologies. Understand international standards, policy frameworks, and best practices that guide responsible AI adoption across various sectors, equipping yourself with the knowledge to contribute meaningfully to ethical decision-making in AI-driven environments.

Lehrplan

• Introduction to Ethical and Responsible AI Governance
Definitions and importance of AI ethics
Overview of responsible AI governance
• Ethical Principles in AI
Fairness and non-discrimination
Transparency and explainability
Accountability and responsibility
Alignment with human values
• Bias Mitigation in AI Systems
Identifying sources of bias
Techniques for reducing bias
Case studies of bias in AI deployment
• Data Privacy and Protection in AI
Principles of data privacy
Regulatory frameworks (e.g., GDPR)
Strategies for ensuring data protection in AI applications
• Algorithmic Accountability and Transparency
Challenges of black-box AI models
Methods for achieving algorithmic transparency
Case studies on accountability failures
• Societal Impact of AI Technologies
Economic, social, and cultural impacts of AI
Ethical considerations in AI applications (e.g., autonomous vehicles, facial recognition)
Public perception and trust in AI systems
• International Standards and Policy Frameworks
Overview of global AI ethics guidelines
Key policy frameworks (e.g., EU AI Act, OECD AI Principles)
Best practices for responsible AI adoption
• Governance Challenges and Future Outlook
Emerging AI technologies and ethical considerations
Collaborative governance and stakeholder engagement
Future trends and the role of AI governance
• Conclusion and Pathways to Responsible AI Implementation
Strategies for ethical AI decision-making
Building organizational capacity for AI governance
Contributing to the development of responsible AI policies and practices

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Unterrichtet von

Dr. S. Sasirekha

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Fachgebiete

Artificial Intelligence