Explainable AI Part 1
In Part 1 of the workshop, we will begin with an overview of Artificial Intelligence (AI) and Machine Learning (ML), explaining the fundamental concepts and principles behind these cutting-edge technologies. We will then delve into the fascinating world of ChatGPT and Generative AI. Next, we'll explore the practical applications of AI and ML in accounting and assurance services. To solidify our learning, we'll engage in a mini hands-on practice session where participants will implement ML techniques using Python to predict bankruptcy. For this, participants will use the Google Colab platform, requiring a Gmail account for access.
In this hands-on workshop, we will be using Python programming language to build a ML model and apply Explainable AI techniques to interpret model predictions. We will use Python via the Google Colab platform.
Prerequisites:
- A Gmail account
- A web browser
- A stable internet connection
Explainable AI Part 2
In Part 2 of the workshop, we'll shift our focus to Explainable AI (XAI), an essential aspect of AI development that promotes transparency and interpretability. Participants will gain an understanding of the significance of XAI in building trustworthy AI systems and the benefits it brings to various industries. In the subsequent mini hands-on practice, attendees will apply XAI techniques to interpret ML outcomes, allowing them to comprehend the reasoning behind model predictions and decisions. As a special highlight, we'll also explore how to interpret outcomes from ChatGPT, the generative language model, making the session even more insightful and relevant to real-world AI applications.
In this hands-on workshop, we will be using Python programming language to build a ML model and apply Explainable AI techniques to interpret model predictions. We will use Python via the Google Colab platform.
Prerequisites:
- A Gmail account
- A web browser
- A stable internet connection