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Overview
The Ethics and Governance of Generative AI course offers an in-depth exploration of the ethical principles and governance frameworks essential for the responsible use of Generative AI. This course is designed to equip business leaders, AI practitioners, and policymakers with the knowledge and tools necessary to ensure that AI innovations are both ethically sound and effectively governed.
Objectives
By the end of this course, leaner will be able to:
- Understand the importance of ethics and governance in the development and deployment of Generative AI.
- Identify and mitigate biases in AI systems to promote fairness and non-discrimination.
- Implement transparency and explainability practices to foster trust and accountability.
- Develop and enforce data integrity and compliance measures in Generative AI projects.
- Establish robust governance structures to oversee AI ethics and ensure responsible innovation.
Prerequisites
- A basic understanding of AI and machine learning concepts.
- Familiarity with data privacy and protection regulations.
- An interest in ethical considerations in technology.
- A role in decision-making or governance within an organization.
- A desire to understand the societal impacts of AI.
Course Outline
Module 1: Introduction to Ethics and Governance in AICourses2024-08-19T21:03:21+05:30
- Explore the fundamental concepts of ethics and governance in the context of AI.
- Understand the societal and organizational implications of Generative AI.
Module 2: Ethical Frameworks for Generative AICourses2024-08-19T21:04:05+05:30
- Study key ethical principles such as fairness, transparency, and accountability.
- Analyze real-world case studies to understand the application of these principles.
Module 3: Governance Structures and PoliciesCourses2024-08-19T21:05:05+05:30
- Learn about governance models and the role of AI ethics officers.
- Develop policies and procedures for AI oversight and compliance.
Module 4: Data Integrity and Compliance in Generative AICourses2024-08-19T21:07:48+05:30
- Dive into best practices for ensuring data quality and adherence to privacy regulations.
- Explore the importance of transparency and explainability in AI systems.
Module 5: Building a Culture of Ethical AICourses2024-08-19T21:08:48+05:30
- Understand how to foster an organizational culture that prioritizes ethical AI use.
- Learn strategies for training and raising awareness about AI ethics among stakeholders.
