Artificial Intelligence: Building Ethical and Responsible AI Systems

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• Course Lecture 2:24:52

  • 1: Artificial Intelligence: Promo Preview 01:56
  • 2: Artificial Intelligence: Introduction Preview 04:07
  • 3: Artificial Intelligence: Defining Responsible AI 07:41
  • 4: Artificial Intelligence: The Importance of AI Ethics 06:11
  • 5: Artificial Intelligence: Ethical Theories & Frameworks in AI 05:16
  • 6: Artificial Intelligence: Overview of Ethical Theories 04:49
  • 7: Artificial Intelligence: Ethicak Frameworks For AI 09:59
  • 8: Artificial Intelligence: Transparency and Accountability In AI 04:19
  • 9: Artificial Intelligence: Importance of Tranparency in AI 06:31
  • 10: Artificial Intelligence: Techniques for Achivieving Accountability 06:45
  • 11: Artificial Intelligence: Undeerstanding Bias In AI 04:51
  • 12: Artificial Intelligence: Methods for Ensuring Fairness 05:57
  • 13: Artificial Intelligence: AI and Data Privacy Concerns 11:23
  • 14: Artificial Intelligence: Securing The Future 03:53
  • 15: Artificial Intelligence: Common Ai Vulnerabilites 04:23
  • 16: Artificial Intelligence: Stratgies For Mitigating Risks 08:03
  • 17: Artificial Intelligence: AI and Regulation 04:08
  • 18: Artificial Intelligence: Overview of Existing AI Regulations 07:37
  • 19: Artificial Intelligence: Designing Ethical AI Systems 06:43
  • 20: Artificial Intelligence: Tools and Frameworks for AI Development 05:32
  • 21: Artificial Intelligence: Implement 04:34
  • 22: Artificial Intelligence: The Role Of Ethics Committees 05:38
  • 23: Artificial Intelligence: Developing Organisational Policies 04:25
  • 24: Artificial Intelligence: Responsible AI Best Practices 06:06
  • 25: Artificial Intelligence: The Future of Ethics 04:05

Key Lesson Snippets

➥ Defining Responsible AI
Understand the foundational principles of Artificial Intelligence and what it means to build responsible AI systems that align with ethical standards.

➥ Ethical Theories & Frameworks in AI
Study various ethical theories and frameworks that guide the development of Artificial Intelligence systems with a focus on minimizing harm and maximizing benefits.

➥ Overview of Ethical Theories
Review fundamental ethical theories such as utilitarianism, deontology, and virtue ethics, and understand their relevance to Artificial Intelligence.

➥ Transparency and Accountability in AI
Learn the importance of transparency and accountability in Artificial Intelligence, and how to achieve these principles in AI systems.

➥ Importance of Transparency in AI
Understand why transparency is critical to trust and responsible AI development and explore techniques for achieving it in AI systems.

➥ Techniques for Achieving Accountability in AI
Master methods to ensure that Artificial Intelligence systems remain accountable to users, stakeholders, and regulatory bodies.

➥ AI and Data Privacy Concerns
Delve into the intersection of Artificial Intelligence and data privacy, understanding the challenges and regulatory requirements related to data protection.

➥ Common AI Vulnerabilities in Business Systems
Identify common vulnerabilities AI systems face within business environments, and learn risk mitigation strategies to enhance AI reliability.

➥ Strategies for Mitigating Risks
Discover strategies for managing risks associated with Artificial Intelligence, particularly focusing on transparency and accountability.

➥ Tools and Frameworks for AI Development
Examine the tools and frameworks available for building AI systems, focusing on those that promote ethical AI development and compliance with regulatory standards.

➥ Developing Organizational Policies
Learn how to develop and implement organizational policies that support responsible AI development and align with ethical principles.

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