AI+ Ethics™

  • Responsible AI Focus: Master ethical AI use aligned with business and societal values
  • Risk Mitigation: Learn to manage compliance, transparency, and AI decision-making
  • Strategic Guidance: Integrate ethical practices into AI adoption and leadership
  • Reputation Builder: Build organisational trust and credibility in AI deployments

 

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AI+ Ethics™
Self-Paced: $195
Instructor-Led: $295

At a Glance: Course + Exam Overview

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Program Name AI+ Ethics™
Duration Instructor-Led:1 day (live or virtual) | Self-Paced:8 hours (1 Day)
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. 
Exam Format 50 questions, 70% passing, 90 minutes, online proctored exam

What You'll Learn

Strategic Thinking

Learners will examine AI technologies and their commercial consequences, which involves planning strategically and make AI integration decisions for their organizations.

Ethical-Decision Making Skills

Students will learn to navigate AI's complex ethical issues by identifying ethical concerns, applying ethical decision-making frameworks, and ensuring accountability in AI initiatives.

Project Management

Participants will learn to develop, implement, and monitor AI initiatives while addressing bias, fairness, transparency, privacy, and security.

Compliance and Governance Norms and Practices

Students will learn about AI law and regulation, focusing on ensuring AI systems comply with legal requirements and applying governance best practices to mitigate risks, maintain transparency, and uphold accountability.

Certification Modules

Course Overview

  • Course Introduction Preview

Module 1: Overview of AI Ethics & Societal Impact

  • 1.1 Introduction to Ethical Considerations in AI Preview
  • 1.2 Understanding The Societal Impact of AI Technologies Preview
  • 1.3 Strategies for Conducting Social and Ethical Impact Assessments

Module 2: Bias and Fairness in AI

  • 2.1 Exploration of Biases in Data and Algorithms Preview
  • 2.2 Strategies for Mitigating Bias and Ensuring Fairness in AI Systems

Module 3: Transparency and Explainable AI

  • 3.1 Importance of Transparent AI Systems Preview
  • 3.2 Techniques for Explaining AI Models to Diverse Stakeholders Preview
  • 3.3 Guided Projects on Designing and Analysis of AI Systems with Ethical Considerations

Module 4: Privacy and Security Issues in AI

  • Study frameworks for holding organizations accountable for the ethical use of AI.
  • Why it matters: Ensures ethical AI deployment and helps mitigate the consequences of potential misuse or harm.

Module 5: Accountability and Responsibility

  • 5.1 Concepts of Accountability in AI Development and Deployment
  • 5.2 Responsibilities of AI Practitioners and Organizations

Module 6: Legal and Regulatory Issues

  • 6.1 Overview of Relevant Laws and Regulations Pertaining to AI
  • 6.2 Understanding the Global Regulatory Issues for AI Technologies
  • 6.3 Case Studies: GDPR Compliance
  • 6.4 Legal Compliance of AI Tools

Module 7: Ethical Decision-Making Frameworks

  • 7.1 Introduction to Frameworks for Making Ethical Decisions in AI
  • 7.2 Case Studies and Applications of Ethical Decision-Making
  • 7.3 Use of Simulation Platforms in Ethical Decision-Making

Module 8: AI Governance & Best Practices

  • 8.1 Principles and Functions of International AI Governance
  • 8.2 Best Practices for Integrating AI Ethics into Organizational Policies
  • 8.3 Case Studies on AI Governance

Module 9: Global AI Ethics Standards

  • 9.1 Explore Standards: IEEE’s Ethically Aligned Design
  • 9.2 Comparative Case Studies on Standard Implementations
  • 9.3 Tools for Evaluating AI Systems Against Global Standards

Optional Module: AI Agents for Ethics and Its Implications

  • 1. Understanding AI Agents
  • 2. Case Studies
  • 3. Hands-On Practice with AI Agents

Finish the course and get certified

Course Certificate

Industry Opportunities

Ethics Advisor

Advise on AI development and deployment ethical issues. Ensure justice, openness, and accountability in AI technology, supporting responsible innovation.

Policy Developer

Formulate and implement ethical and regulatory frameworks for AI adoption and governance to ensure responsible and equitable deployment.

Ethical Standards Advisor

Provide guidance on ethical considerations in AI development and deployment, ensuring adherence to ethical principles and societal values.

Audit Architect

Design and implement systems for ethical compliance and accountability in AI applications, conducting audits to detect and mitigate ethical risks.

Frequently Asked Questions

Prerequisites

Exam Details

Passing Score

70%

Format

50 multiple-choice/multiple-response questions

Exam Blueprint

Overview of AI Ethics & Societal Impact 10%
Bias and Fairness in AI 5%
Transparency and Explainable AI 10%
Privacy and Security Issues in AI 5%
Accountability and Responsibility 10%
Legal and Regulatory Issues 15%
Ethical Decision-Making Frameworks 15%
AI Governance & Best Practices 15%
Global AI Ethics Standards 15%
Self-Paced Online

Self-Paced Online: 8 hours (1 Day)

Price: $195

Instructor-Led Online

Instructor-Led Online: 1 day (live or virtual)

Price: $295

Core AI Tools Covered