Designing For Transparency in Machine Learning

This session is facilitated by Caroline Sinders

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About this session

The future is going to be weird but it doesn’t have to be broken, especially for design that touches the lives of everyday users. So how can we ethically design products using machine learning, and create spaces for user agency? In this talk, I will outline design methodologies, suggestions, use cases, and real life examples for creating more transparent and equitable AI for product design. This talk will cover examples from Facebook and algorithmic timelines to civic technology using AI, to predictive policing and missteps that have existed in AI as well as great use cases of AI in product design.