AgenticAuditing

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AgenticAuditing

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Notebooks of the Agentic Auditing Tutorial of 63rd World Continuous Auditing and Reporting Symposium (WCARS).

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# Artificial Intelligence Agentic Auditing Tutorial

![Symposium Banner](https://github.com/GitiHubi/AgenticAuditing/blob/main/banner.jpg)

Welcome to the **Artificial Intelligence Agentic Auditing** tutorial, part of the [63rd World Continuous Auditing and Reporting Symposium (WCARS)](https://raw.rutgers.edu/63wcars.html) at [Rutgers Business School](https://www.business.rutgers.edu/) in Newark on November 7th, 2024. This tutorial will provide an in-depth, hands-on exploration of how AI agents can be leveraged to enhance and automate various auditing tasks. 🤖🔍

This tutorial covers how multiple AI agents can work collaboratively to audit accounting journal entries, simulating tasks typically performed by human auditors. This session explores the growing role of **Agentic Auditing**, where autonomous AI agents work together to perform anomaly detection, compliance verification, and approval flow analysis. 🐍💻

## Tutorial Logistics 🗓️

- **Date & Time:** November 7th, 2024 ⏰ (See [WCARS program](https://raw.rutgers.edu/63WCARS/WCARS%202024%20-%20Full%20Agenda.pdf) for details)
- **Location:** Rutgers University, Newark Campus 🏛️
- **Office Hours:** Feel free to approach me after the session or via email for further discussion.
- **Announcements:** Relevant updates and materials will be posted on the WCARS portal.

## Tutorial Content ![License: GPL v3](https://img.shields.io/badge/License-GPLv3-blue.svg)

This tutorial features a single interactive notebook that guides you through the core concepts of agentic auditing. Click the launcher to start the tutorial in the cloud environment of your choice.

| Lab           | Topic                     | Description                |  Binder Notebook  | Gesis Notebook | Colab Notebook    | 
|:--------------|:--------------------------|:---------------------------|:-----------------:|:-----------------:|:-----------------:|
| 01  | AI Agentic Auditing        | Intro AI Agents in Auditing | [![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/GitiHubi/AgenticAuditing/main?filepath=lab_01/lab_01_agentic_auditing.ipynb) | [![badge](https://img.shields.io/badge/launch-gesis-F5A252.svg)](https://notebooks.gesis.org/binder/v2/gh/GitiHubi/AgenticAuditing/main?filepath=lab_01/lab_01_agentic_auditing.ipynb) | [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/GitiHubi/AgenticAuditing/blob/main/lab_01/colab_01_agentic_auditing.ipynb) |

## Reference:
For further reading on the theoretical foundation and practical implications of AI agentic auditing, please refer to our preprint:

**Schreyer, M., Gu, H., Moffitt, K., & Vasarhelyi, M. A. (2024).** *Artificial Intelligence Agentic Auditing*. Preprint. [Social Science Research Network (SSRN)](https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4909147). Available at: [https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4909147](https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4909147)

## Questions?

Please don't hesitate to reach out via the WCARS platform or by email:

📧 ![Contact Email](https://github.com/GitiHubi/AgenticAuditing/blob/main/mail.png)

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