Ethics and Governance of Generative AI Training
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Ethics and Governance of Generative AI

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Explore the critical aspects of Ethics and Governance in Generative AI. Learn to navigate the challenges of responsible AI development and implementation.

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Overview

The Ethics and Governance of Generative AI course delves into the ethical considerations and governance frameworks essential for the responsible use of generative AI technologies. This training covers topics such as bias mitigation, data privacy, intellectual property, and societal impact. Participants will explore real-world case studies and learn best practices for aligning AI development with ethical standards and regulatory requirements. Ideal for AI practitioners, policymakers, and professionals seeking to ensure responsible AI practices.

Key Features

  • Bias Mitigation
  • Data Privacy
  • Ethical Principles
  • Governance Frameworks

Curriculum

Study Plan

1Module 1: Introduction to Ethics and Governance in AI
  • Explore the fundamental concepts of ethics and governance in the context of AI.
  • Understand the societal and organizational implications of Generative AI.
2Module 2: Ethical Frameworks for Generative AI
  • Study key ethical principles such as fairness, transparency, and accountability.
  • Analyze real-world case studies to understand the application of these principles.
3Module 3: Governance Structures and Policies
  • Learn about governance models and the role of AI ethics officers.
  • Develop policies and procedures for AI oversight and compliance.
4Module 4: Data Integrity and Compliance in Generative AI
  • Dive into best practices for ensuring data quality and adherence to privacy regulations.
  • Explore the importance of transparency and explainability in AI systems.
5Module 5: Building a Culture of Ethical AI
  • Understand how to foster an organizational culture that prioritizes ethical AI use.
  • Learn strategies for training and raising awareness about AI ethics among stakeholders.

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