Introduction to responsible AI
Responsible AI is an approach to developing and deploying AI systems that prioritizes ethical considerations, transparency, and accountability.
As GenAI models and applications such as Google’s Gemini, OpenAI’s GPT, and Anthropic’s Claude become increasingly powerful and widely used, it’s essential to ensure that these systems are designed and implemented in ways that benefit society while minimizing potential harm. Let’s explore, at a high level, the key aspects of implementing responsible AI in your systems. We will also talk about how over-indexing on the following topics can have a negative effect on innovation:
- Fairness: Achieving fairness in AI systems is a crucial goal that requires thoughtful design and implementation throughout the entire AI lifecycle. Several key factors contribute to making AI systems fair. First and foremost is the quality and diversity of the training data. Ensuring that...
