AI DevCamp Notes: Responsible AI (Week 2)

My journey at AlDevCamp (GDG London) continues with excitement. We learn something new each week, and witnessing my growth week by week makes me proud.

Let’s see what I learned in week 2 about Responsible AI!

Ensuring AI systems are fair, interpretable, private, and secure is crucial for building trust and reliability. Responsible AI not only fosters ethical considerations but also enhances user experience and safety. This week, we delved into the best practices that help achieve these goals, exploring ways to develop more robust and trustworthy AI solutions.

Evaluating Data and Models

First of all, there are some important criteria we need to keep in mind when evaluating our data and models. These criteria are crucial for ensuring that our AI systems are fair, interpretable, private, and secure.

By keeping these criteria in mind, let’s dive deeper into this week’s topics.

Understanding and Examining Data

Before processing your data, it’s crucial to closely examine your raw data. This helps you understand what your…