Ethics | Project

Why Ethics?

• Principles that govern and determine our behavior
• Principles that dictate how we interact with other people

Important Questions

• How does the work we do impact other people?
• How can our work adversely impact other people?
• Ethical considerations of tool use.

Session Overview

XAI & IML

• Transparency & Trust: If we can’t explain how an AI model arrives at a decision, it can be difficult to trust its outputs.

• Fairness & Bias Detection: XAI helps us identify and mitigate biases that may be present in the data or the model itself.

• Accountability: By understanding how an AI model works, we can determine who is accountable for its actions and outcomes.

Ramifications of Stupid AI

Remember Class Imbalanced data?

Objective Functions

• AKA Loss Function or cost function
• Mathematical formula that quantifies the performance of a model on a given task.
• It represents the error or discrepancy between the model’s predictions and the desired outcome (ground truth).

Often want to minimize the loss function.

Objective Functions

Designed/Choosing the Objective/Loss Function tells the model what to do.

Session Overview

Ethical Considerations

• Fairness and non-discrimination
• Privacy and security
• Transparency and accountability
• Explainability and interpretability
• Algorithmic bias

Workflow

1. What is the intended use of our project outcomes?
2. How could our project be misappropriated?
3. What are potential sources of bias in our data/algorithm? How can we account for them?
4. Are there privacy or security concerns with our project?