We invite anyone who works with data to our workshops, to learn practical tools to infuse equity and ethics into your work and strengthen the movement for data justice.
Part 1: Equity in Data Projects. We will cover approaches for defining fairness within a specific project context, and how equity impacts the creation and use of data through collection and categorization.
Part 2: Data Ethics. We will discuss various types of bias and their impacts, how power dynamics are reflected in data and organizational practices, and practical methods to embed ethical practices into data projects.
Part 3: Impact of Algorithms. Here we will discuss the assumptions and choices that shape the design and implementation of algorithms, applying our learnings about equity and ethics to understand the impact of machine learning and AI on stakeholders and communities.
Facilitators for this workshop are:
Kai Williams, Executive Director, International Wildlife Rehabilitation Council, Eugene
Zariah Cameron, Equity Centered UX Strategist, Charlotte NC
Vivian Lam, Illustrator and Data Analyst, Los Angeles