Fair and Representative Participatory Budgeting
One of the main goals of #participatorybudgeting is creating ‘fairness’. But what does this really mean? And how do we ensure fairness when we’re designing the algorithms that drive the voting? This is not easy, as it involves computer science, math, social science, and the determination of the responsibilities of humans and computers in human-computation systems.
Haris Aziz is a Scientia Associate Professor at UNSW Sydney. He works at the interface of computer science and economics, and is especially interested in fair decision making. He is an associate editor of several major journals in AI and is a recipient of several research awards including IEEE AI 10 to Watch.
Haris presentation provided an incredible foundation for how we might be able to consider these ideas. These ideas are central to PB – and many other aspects of community engagement.
You’re going to love his talk if you’re into the geeky side of PB (and if you’re not, you should be, because the geeky stuff has a massive impact on what actually determines fairness in a PB program).