• Course overview
  • Course details
  • Prerequisites

Course overview

About this course

Through this course, you will learn to navigate the intersection of AI and ethics in business landscape. Master ethical AI use aligned with business and societal values, and learn to manage compliance, transparency, and AI decision-making. Explore strategies to identify and prevent biases in AI systems, ensuring fairness and transparency.

Audience profile
  • Ethics Professionals
  • AI & Data Enthusiasts
  • Compliance Officers
  • Technology Leaders
  • Students & New Graduates

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Course details

Course Introduction

Module 1: Overview of AI Ethics & Societal Impact

Module 2: Bias and Fairness in AI

Module 3: Transparency and Explainable AI

Module 4: Privacy and Security Issues in AI

Module 5: Accountability and Responsibility

Module 6: Legal and Regulatory Issues

Module 7: Ethical Decision-Making Frameworks

Module 8: AI Governance & Best Practices

Module 9: Global AI Ethics Standards

Optional Module: AI Agents for Ethics and Its Implications

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Prerequisites

  • Basic knowledge of artificial intelligence, machine learning concepts, and their applications. 
  • Understanding of the social, cultural, and political implications of AI technologies. 
  • Understanding of professional ethics, including honesty, integrity, and responsibility. 
  • Exposure to real-world case studies that highlight ethical dilemmas in AI, promoting practical understanding. 
  • Ability to critically assess AI technologies and make ethical decisions in designing, deploying, and managing AI systems. 
  • Familiarity with relevant laws, regulations, and industry standards that govern AI usage. 

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Our Technology Partners

Spectrum Networks is the Authorised Learning Partner for some of the leaders in IT technology for Digital Transformation