ethicalml/strategy-2018

This repository holds a slide-based presentation about responsible machine learning, originally shown at the CodeTalks conference in 2018. It is not a software tool or application, but rather a set of educational slides that explain eight principles for building machine learning systems ethically. The slides are viewable directly in a web browser. The content walks through three main areas. First, it covers why ethical principles for machine learning matter in the first place. Second, it introduces the Institute for Ethical AI & Machine Learning, the organization behind this framework. Third, it goes through each of the eight principles one by one, explaining what responsible machine learning should look like in practice. The audience for this material is anyone involved in building, managing, or overseeing machine learning products who wants a structured framework for doing that work responsibly. A product manager deciding how to deploy a recommendation system, a founder building an AI-powered hiring tool, or a developer training models on user data could all benefit from understanding these principles. Rather than leaving ethics as an afterthought, the presentation gives teams a shared vocabulary and starting point for making responsible decisions. The presentation itself is built with JavaScript, which is why it lives in a code repository rather than being a simple PDF. This approach makes the slides interactive and easy to view online without needing special software. The repository also points visitors to a separate, more current project if they want to explore the institute's broader work on ethical AI practices.