Building Ethical AI in Organizations
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Course Overview
Table of Contents
Program Syllabus
Module 1
About
“Building Ethical AI in Organizations” is a leadership-focused and cross-functional training program designed to operationalize ethical principles of fairness, explainability, privacy, and inclusivity into real-world AI projects and systems.
As enterprises accelerate AI adoption, ethical lapses can lead to public backlash, compliance violations, and loss of trust. This program helps stakeholders design ethics-by-design processes, build AI governance committees, conduct impact assessments, and align with regulatory frameworks such as the EU AI Act, OECD Principles, NIST AI RMF, and corporate ESG standards.
Module 2
Aim
To guide organizations in developing and embedding ethical AI frameworks, aligning innovation with accountability, transparency, and societal good while reducing regulatory, reputational, and operational risks.
Lead Instructor
Dr. Sarah Chen
PhD in Computational Mechanics from MIT with 15+ years of experience in Industrial AI. Former Lead Data Scientist at Tesla and current advisor to Fortune 500 manufacturing firms.
Limited SeatsClosing Soon
Building Ethical AI in Organizations
Professional Certification Program
🎥
FormatLive + Recorded
📅
Duration8 Weeks
📜
CertificationVerified
Module 3
Program Objectives
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Translate AI ethics principles into operational workflows
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Embed responsibility in every phase of the AI lifecycle—from design to deployment
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Mitigate bias, opacity, and harm in enterprise AI models
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Build accountability, documentation, and stakeholder trust
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Support long-term AI resilience aligned with business and social values
Module 4
Program Structure
Module 5
Module 1: Principles of Ethical AI
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Chapter 1.1: What Is Ethical AI? Core Values and Global Norms
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Chapter 1.2: Common Ethical Challenges in AI Systems
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Chapter 1.3: Human Rights, Justice, and Autonomy in AI Contexts
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Chapter 1.4: Cross-Cultural Perspectives on Fairness and Ethics
Module 6
Module 2: From Ethics to Action
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Chapter 2.1: Translating Ethical Principles into Organizational Policies
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Chapter 2.2: Avoiding Ethics Washing and Empty Frameworks
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Chapter 2.3: Ethics in Product Lifecycle: Design, Development, and Deployment
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Chapter 2.4: Case Studies of Ethical Failures and Lessons Learned
Module 7
Module 3: Building Organizational Structures
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Chapter 3.1: Roles and Responsibilities (Ethics Leads, Review Boards, Committees)
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Chapter 3.2: Creating Cross-Functional Ethics Teams
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Chapter 3.3: Integrating Ethics into Product Development and ML Ops
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Chapter 3.4: Internal Training and Ethical Capacity-Building
Module 8
Module 4: Tools and Frameworks for Responsible AI
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Chapter 4.1: Impact Assessments (Algorithmic, Human Rights, Environmental)
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Chapter 4.2: Transparency and Explainability in Practice
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Chapter 4.3: Auditing, Monitoring, and Documentation Tools
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Chapter 4.4: Governance Frameworks: OECD, ISO 42001, NIST AI RMF
Module 9
Module 5: Accountability and Escalation Paths
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Chapter 5.1: Incident Management and Red Flags in AI Systems
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Chapter 5.2: Whistleblower Protections and Ethical Dissent Channels
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Chapter 5.3: Reporting to Leadership, Boards, and the Public
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Chapter 5.4: Aligning Ethical AI with Legal Compliance and Risk
Module 10
Module 6: Culture, Strategy, and Long-Term Impact
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Chapter 6.1: Shaping Organizational Culture Around Responsible Innovation
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Chapter 6.2: Communicating Ethical Commitments to Stakeholders
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Chapter 6.3: Metrics, KPIs, and Incentives for Ethical Performance
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Chapter 6.4: Capstone: Draft an Ethical AI Strategy for Your Organization
Module 11
Video Module TOC
Video content aligned with weekly modules
Module 12
Week 1 Videos
Foundations of Ethical AI
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Introduction to Ethical AI: Why It Matters
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Principles of Responsible AI: Fairness, Accountability, Transparency
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Real-World Failures: When AI Goes Wrong
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Ethics in Context: Autonomy, Justice, and Human Rights
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Cultural Perspectives: Global Ethics vs. Local Norms
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Translating Ethics into Practice: A Framework Overview
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Avoiding Ethics Washing: Pitfalls and Industry Myths
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Case Study: Facial Recognition and Ethical Breakdown
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Week 1 Recap: Principles in Your Organizational Context
Module 13
Week 2 Videos
Systems, Roles, and Governance
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Organizational Roles: Who Owns Ethical AI?
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Building and Enabling Cross-Functional Ethics Teams
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Product Lifecycle: Embedding Ethics from Design to Deployment
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ML Operations: Monitoring and Governance in the Workflow
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Impact Assessments: Algorithmic, Human Rights, Environmental
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Tools for Transparency: Model Cards, Fact Sheets, Data Sheets
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Audit Frameworks: Internal Reviews, Third-Party Audits
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Compliance Standards: OECD, ISO 42001, NIST RMF
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Week 2 Case Study: Ethics Review in an AI Product Launch
Module 14
Week 3 Videos
Accountability, Culture, and Strategy
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Escalation Paths: Incident Reporting for AI Failures
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Protecting Ethical Dissent and Encouraging Speaking Up
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Aligning Legal, Regulatory, and Ethical Frameworks
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Reporting Mechanisms: Boards, Public, Regulators
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Building a Culture of Responsible Innovation
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Incentives, KPIs, and Ethical AI Metrics
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Communicating Ethics Commitments to External Stakeholders
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Capstone Preparation: Strategy Planning for Your Organization
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Final Recap: Sustaining Ethical AI Long-Term
Module 15
Live Lecture Module
Live, interactive sessions with guest experts and applied activities
Module 16
Lecture 1 (Week 1)
Title: From Principles to Practice: What Ethical AI Actually Requires
Duration: 60 minutes
Focus: Grounding organizational leaders in the difference between ethical aspiration and operational responsibility
Guest: Tech Ethics Researcher / Responsible AI Policy Advisor
Interactive: Group case analysis: “Where did the AI ethics framework fail?” based on a real-world deployment
Module 17
Lecture 2 (Week 2)
Title: Designing Governance That Works: Teams, Tools, and Trade-offs
Duration: 75 minutes
Focus: Building the systems, teams, and workflows that embed ethics into AI development and oversight
Guest: Chief AI Governance Officer / ML Ops Lead
Interactive: Organizational design challenge: map out ethical roles and accountability structures for a sample AI product
Module 18
Lecture 3 (Week 3)
Title: Sustaining a Culture of Responsible AI: From Strategy to Impact
Duration: 90 minutes
Focus: How to foster long-term ethical practice through leadership, culture, and aligned incentives
Guest Panel: CTO + Compliance Lead + DEI Strategist
Interactive: Capstone strategy pitch: learners present ethical AI roadmaps for feedback from guest panel
Module 19
Intended For
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CXOs, VPs, and Directors overseeing AI and data strategy
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AI/ML engineers and product managers
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HR, legal, and compliance officers
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ESG and risk management professionals
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Ethics officers and data governance leads
Module 20
Program Outcomes
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Design and institutionalize AI ethics policies and governance systems
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Conduct algorithmic risk assessments and ethical impact audits
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Build internal capacity through training and change management
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Align AI practices with global regulatory and sustainability frameworks
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Earn a certification in “Organizational AI Ethics & Governance”
Module 22
Fee Structure
Fee: INR 21499 USD 249
We are excited to announce that we now accept payments in over 20 global currencies, in addition to USD. Check out our list to see if your preferred currency is supported. Enjoy the convenience and flexibility of paying in your local currency!
List of CurrenciesModule 23
FOR QUERIES, FEEDBACK OR ASSISTANCE
Module 24
Key Takeaways
- Access to e-LMS
- Real Time Project for Dissertation
- Project Guidance
- Paper Publication Opportunity
- Self Assessment
- Final Examination
- e-Certification
- e-Marksheet
Module 25
Future Career Prospects
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Responsible AI Officer
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Enterprise AI Ethics Lead
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AI Governance Architect
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Algorithmic Risk Manager
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ESG + Tech Alignment Consultant
Module 26
Job Opportunities
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Tech and AI-first companies (across finance, healthcare, HR, and mobility)
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Global consulting and advisory firms
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Government and international standards bodies
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ESG and sustainability-driven corporations
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Nonprofits and think tanks working on responsible innovation
Module 27
Enter the Hall of Fame!
Take your research to the next level!
Publication Opportunity
Potentially earn a place in our coveted Hall of Fame.
Centre of Excellence
Join the esteemed Centre of Excellence.
Networking and Learning
Network with industry leaders, access ongoing learning opportunities.
Hall of Fame
Get your groundbreaking work considered for publication in a prestigious Open Access Journal (worth ₹20,000/USD 1,000).
Achieve excellence and solidify your reputation among the elite!
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Module 28
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