About this course
Ethics in Automated Intelligence (AI) is a beginner-level course designed for business professionals and decision-makers who need a foundational understanding of ethical considerations in AI development and deployment. As AI technologies continue to reshape industries, it becomes increasingly critical to ensure that their use aligns with ethical standards, legal compliance, and societal values.
This course introduces the principles of AI Ethics and Responsible AI, exploring how organizations can build trustworthy and accountable AI systems. Through real-world demonstrations, interactive lessons, and practical frameworks, learners will explore ethical challenges such as algorithmic bias, transparency, accountability, privacy, and the impact of AI on the workforce and society.
Key topics include ethical AI development, data collection practices, fairness in algorithms, AI governance, privacy and security risks, and global perspectives on ethical AI policies. Learners will also discover how to embed responsible AI practices into organizational culture and understand the importance of ethical leadership.
By the end of the course, you will be equipped to identify ethical risks in AI initiatives and take the first steps toward implementing responsible AI strategies in your organization.
Learning Objectives
By the end of this course, learners will be able to:
• Explain key ethical principles and frameworks in AI
• Recognize and address bias, fairness, and transparency issues in AI systems
• Understand data privacy and security risks related to AI
• Evaluate the social and workforce impacts of AI technologies
• Promote ethical leadership and organizational AI governance
• Advocate for responsible AI policy and regulation
Target Audience
• Business professionals and managers
• AI project leads and team members
• IT and data governance professionals
• HR and compliance officers
• Policy makers and legal advisors
• Anyone beginning their journey into AI and ethics
Prerequisite
No prior AI knowledge is required. Learners should have access to AI tools like ChatGPT or Bard to follow along with demonstrations. Some tools may require a subscription for full functionality.
This course introduces the principles of AI Ethics and Responsible AI, exploring how organizations can build trustworthy and accountable AI systems. Through real-world demonstrations, interactive lessons, and practical frameworks, learners will explore ethical challenges such as algorithmic bias, transparency, accountability, privacy, and the impact of AI on the workforce and society.
Key topics include ethical AI development, data collection practices, fairness in algorithms, AI governance, privacy and security risks, and global perspectives on ethical AI policies. Learners will also discover how to embed responsible AI practices into organizational culture and understand the importance of ethical leadership.
By the end of the course, you will be equipped to identify ethical risks in AI initiatives and take the first steps toward implementing responsible AI strategies in your organization.
Learning Objectives
By the end of this course, learners will be able to:
• Explain key ethical principles and frameworks in AI
• Recognize and address bias, fairness, and transparency issues in AI systems
• Understand data privacy and security risks related to AI
• Evaluate the social and workforce impacts of AI technologies
• Promote ethical leadership and organizational AI governance
• Advocate for responsible AI policy and regulation
Target Audience
• Business professionals and managers
• AI project leads and team members
• IT and data governance professionals
• HR and compliance officers
• Policy makers and legal advisors
• Anyone beginning their journey into AI and ethics
Prerequisite
No prior AI knowledge is required. Learners should have access to AI tools like ChatGPT or Bard to follow along with demonstrations. Some tools may require a subscription for full functionality.
Introduction
1 Parts
Ethics in Automated Intelligence File
302.32 MB
0
0 Reviews
