AI in Corporate Governance
International Workshop on Leveraging Artificial Intelligence for Ethical, Transparent, and Accountable Enterprise Management
About This Course
AI in Corporate Governance is a specialized workshop that explores how AI technologies can be integrated into governance frameworks, boardroom decisions, audit trails, compliance protocols, and ESG monitoring. Participants will learn how to deploy AI for policy enforcement, anomaly detection, fraud risk analysis, board analytics, regulatory reporting, and corporate performance monitoring.
The program includes hands-on exposure to tools such as AI-based audit platforms, NLP-driven policy analytics, GPT-based governance assistants, ESG dashboards, and decision intelligence systems, enabling organizations to modernize their internal control and compliance mechanisms.
Aim
To empower participants with practical knowledge and strategic insights into how Artificial Intelligence (AI) can transform corporate governance by enhancing transparency, accountability, risk management, and ethical oversight across modern enterprises.
Workshop Objectives
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Integrate AI into governance functions for enhanced compliance and ethics
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Educate participants on the risks and responsibilities of AI in corporate contexts
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Encourage the design of AI systems aligned with governance regulations
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Enable transparency, traceability, and responsiveness in board operations
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Foster a forward-thinking governance mindset rooted in digital transformation
Workshop Structure
✅ Day 1: Introduction to AI in Corporate Governance
Theme: Understanding Governance Gaps and the Role of AI
📖 Key Concepts
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Overview of Corporate Governance: Principles, Pillars & Stakeholders
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AI in Governance: Use Cases, Risks & Strategic Alignment
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Ethical AI and Regulatory Frameworks (e.g., GDPR, SEBI, OECD, MCA)
💻 Hands-On
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Analyze a company’s governance data (Board composition, ESG metrics, compliance reports) using Python & Pandas
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Build a simple dashboard to track key governance KPIs using Streamlit or Excel + Python
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Use NLP to extract board-related insights from annual reports or policies
🎯 Outcome: Learn to interpret governance data and visualize it for internal decision-makers.
✅ Day 2: Risk Monitoring, Compliance & Ethical AI
Theme: Automating Governance Risk and Compliance (GRC)
📖 Key Concepts
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AI for Risk Assessment, Fraud Detection, and Compliance Monitoring
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Integrating AI with corporate GRC tools and audit trails
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Building AI systems that are transparent, explainable, and auditable
💻 Hands-On
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Create a rule-based red-flag system for compliance breaches (e.g., late disclosures, missing filings)
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Use ML to score risk levels of vendors or board decisions
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Train a simple fraud detection model on governance-related data
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Run AI audit simulations with explainability outputs (using SHAP or LIME)
🎯 Outcome: Automate governance surveillance workflows with explainable AI models.
✅ Day 3: AI Agents, Board Decision Intelligence & ESG Automation
Theme: Intelligent Decision Support in Corporate Leadership
📖 Key Concepts
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AI for Board Decision Support & Predictive Analytics
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AI in ESG (Environmental, Social, Governance) compliance and monitoring
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Future of AI-driven Governance: Autonomous Boards and Smart Contracts
💻 Hands-On
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Use OpenAI or Hugging Face models to summarize board agendas and resolutions
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Design a board assistant chatbot using prompt engineering (e.g., for board queries, ESG updates)
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Automate ESG reporting pipelines (from data collection to summary generation)
🎯 Outcome: Prototype intelligent decision-support tools that enhance accountability and governance performance.
Who Should Enrol?
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Corporate governance professionals and board members
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Company secretaries and compliance officers
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Risk and audit professionals
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Legal advisors and policy officers
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Students and researchers in corporate law, AI, or public policy
Important Dates
Registration Ends
07/18/2025
IST 4 PM
Workshop Dates
07/18/2025 – 07/20/2025
IST 5:30 PM
Workshop Outcomes
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Understand the intersection of AI and corporate governance practices
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Use AI tools to improve audit readiness, compliance tracking, and ethical oversight
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Build AI-supported governance dashboards and decision-support systems
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Develop a governance framework that balances efficiency with explainability
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Receive a recognized certificate in AI-based corporate governance strategies
Meet Your Mentor(s)
Fee Structure
Student Fee
₹1999 | $50
Ph.D. Scholar / Researcher Fee
₹2999 | $60
Academician / Faculty Fee
₹3999 | $69
Student Fee
₹ | $
What You’ll Gain
- Live & recorded sessions
- e-Certificate upon completion
- Post-workshop query support
- Hands-on learning experience
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