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Explore the critical principles and challenges of the ethical risks of artificial intelligence. This course equips you to understand and manage the ethical implications of AI technologies, such as fairness, accountability, and transparency. Prepare to lead in the ethical application of AI across various sectors with practical best business practices.
Understand the core ethical principles guiding AI development and usage, emphasizing the importance of privacy, fairness, accountability, and transparency.
Learn to assess and manage the social, economic, and ethical risks associated with AI technologies, ensuring your initiatives contribute positively to society.
Acquire practical strategies for integrating ethical considerations into AI development, focusing on real-life applications and compliance with global data protection regulations.
Lesson 1: What is AI Ethics
Lesson 2: Why AI Ethics Matters
Lesson 3: Limitations of AI Ethics
Lesson 4: AI Ethics Principles & Risks
Lesson 5: Privacy Principle
Lesson 6: Accountability Principle
Lesson 7: Safety & Security Principles
Lesson 8: Transparency & Explainability Principles
Lesson 9: Fairness & Non-Discrimination Principles
Lesson 10: Human Control of Technology Principle
Lesson 11: Professional Responsibility Principle
Lesson 12: Promotion of Human Rights Principle
Learn to apply ethical frameworks to AI challenges, ensuring decisions align with core human values.
Gain insights into creating AI solutions that respect privacy, ensure fairness, and are safe and secure.
Prepare to spearhead ethical AI initiatives, fostering trust and safety in technology while addressing complex social issues.
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Discover the full learning journey, from foundational skills to certified leadership. Find the membership that fits your team or your personal goals.
The Responsible AI Audit™ Standard is a proprietary AI audit methodology designed to support professional judgment and defensible documentation.
It does not replace applicable laws, regulations, or professional obligations.
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