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Schedule

Stanford Root

Schedule

ACCT 535

AI2

UNITS:2
GRADING:GSB Student Option LTR/PF
LEVEL:Graduate
GER:—

This course, Artificial Intelligence and Accounting Information, focuses on understanding the applications of Artificial Intelligence (AI) in the realm of financial information, emphasizing recent AI innovations such as Large Language Models (LLMs) and AI Agents. The financial information environment surrounding corporations involves processing vast amounts of data to generate documents like ACCT 10-K reports, earnings calls, analyst reports, and press releases. Key topics include techniques for effectively communicating with LLMs (e.g., Prompt engineering), methods for constructing and utilizing representations (e.g., Embedding), strategies for contextualizing AI-generated responses (e.g., Retrieval-Augmented Generation), and understanding the limitations of AI. The course covers the economic framework, real-world examples, hands-on exercises, and AI governance considerations. Multiple guest speakers will share their expertise, and lectures will be integrated with exercises to provide a comprehensive learning experience.

Syllabus for selected term:
View Spring 2027 Syllabus

Sections

1 Term
Seminar 1Open
ID: 27023
0 / 30 enrolled
DAYS:TBD
TIME:TBD
LOCATION:TBD
INSTRUCTOR:
Choi, Jungho, Keppler, Adam
2units
Seminar 2Open
ID: 27024
0 / 30 enrolled
DAYS:TBD
TIME:TBD
LOCATION:TBD
INSTRUCTOR:
Choi, Jungho, Keppler, Adam
2units

ACCT 535: AI2

2 units · GSB Student Option LTR/PF

This course, Artificial Intelligence and Accounting Information, focuses on understanding the applications of Artificial Intelligence (AI) in the realm of financial information, emphasizing recent AI innovations such as Large Language Models (LLMs) and AI Agents. The financial information environment surrounding corporations involves processing vast amounts of data to generate documents like 10-K reports, earnings calls, analyst reports, and press releases. Key topics include techniques for effectively communicating with LLMs (e.g., Prompt engineering), methods for constructing and utilizing representations (e.g., Embedding), strategies for contextualizing AI-generated responses (e.g., Retrieval-Augmented Generation), and understanding the limitations of AI. The course covers the economic framework, real-world examples, hands-on exercises, and AI governance considerations. Multiple guest speakers will share their expertise, and lectures will be integrated with exercises to provide a comprehensive learning experience.

Offered in Spring 2027 at Stanford University.

Spring 2027 sections

  • Seminar — TBA TBA — Choi, Jungho, Keppler, Adam (Graduate)
  • Seminar — TBA TBA — Choi, Jungho, Keppler, Adam (Graduate)

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  • ACCT 610: Seminar in Empirical Accounting Research
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  • ACCT 612: Financial Reporting Seminar
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