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Explainable Artificial Intelligence (xAI) for Financial Decision Makers
Indian Institute of Management Calcutta

Explainable Artificial Intelligence (xAI) for Financial Decision Makers

Indian Institute of Management Calcutta, Maheshtala
HomeData & AIIndian Institute of Management CalcuttaExplainable Artificial Intelligence (xAI) for Financial Decision Makers
4 daysDuration
in-personFormat
EnglishLanguage
Data & AITopic

Next Available Cohort

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Jan 4 - Jan 7, 2027
4 days · in-person · Instructor-Led · Kolkata Campus
Open
$1,198

All-inclusive program fee

About This Program

This course's objective is to equip financial decision-makers with understanding and skills for the effective integration of artificial intelligence (AI) into financial decision-making. The course focuses on understanding the benefits and risks of AI, addressing the "black-box" problem through explainable AI (xAI), and designing practical workflows for fraud detection, credit scoring, risk management, and forecasting. Participants will learn how to use large language models (LLMs) to analyze financial reports, central bank speeches, and regulatory filings. Participants will gain skills in conveying AI model results to different stakeholders using the correct format.

Why Indian Institute of Management Calcutta?

IIM Calcutta carries a particular authority in Indian management education that comes simply from being first — the oldest IIM in the country, founded in collaboration with MIT Sloan and the Government of India, in a city that has historically produced some of India's most rigorous intellectual traditions. For senior professionals who want academic depth alongside a genuinely global research pedigree, few institutions on the subcontinent can match its credentials.

Your Profile

  • Financial Professionals and Decision-Makers
  • Risk Management Specialists
  • Bankers and Credit Analysts
  • Regulatory and Compliance Officers
  • Investment and Portfolio Managers
  • Data Scientists and AI Practitioners in Finance and keen to adopt advanced AI techniques in their professional work. No prior knowledge of Python or coding is required.

Benefits

  • Interpret and explain AI model outputs to non-technical financial stakeholders using appropriate formats.
  • Design practical AI workflows for fraud detection, credit scoring, risk management, and forecasting.
  • Use large language models to analyze financial reports, central bank speeches, and regulatory filings.
  • Assess the risks and limitations of black-box AI models in regulated financial environments.

What You'll Learn

  • Introduction to Artificial Intelligence in Finance
  • Understanding the "Black-Box" Problem and Explainable AI (xAI)
  • AI in Core Financial Decision-Making Areas
  • Practical AI Workflow Design for Financial Applications: Fraud Detection, Credit Score and Credit Default Risk Prediction, Risk Management, Portfolio Management
  • Large Language Models (LLMs) in Financial Analysis
  • Communicating AI Results to Stakeholders
  • Risks and Challenges in AI Adoption

Frequently Asked Questions

How to Apply

  1. 1

    Check your eligibility

    Review the entry requirements listed on this page. Most executive programs require 8–15 years of professional experience.

  2. 2

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  3. 3

    Contact the school

    Send a message directly to Indian Institute of Management Calcutta via Gradia to request a brochure or speak with an admissions advisor.

  4. 4

    Prepare your application

    Gather your CV, reference letters, and any required test scores. Many EMBA programs waive standardised tests for senior candidates.

  5. 5

    Submit your application

    Apply directly through Indian Institute of Management Calcutta's official application portal.

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