Drawing upon their combined perspectives as a creative technologist and their interdisciplinary research around AI (cultures), Kwan will be presenting previous projects that explore alternative practices within the context of generative AI.

One is a critical making project that explores how new media tools (algorithmic and generative) may be used in ways that counter the dominant logics embedded within their nature. Another is an investigation from a game studies and play perspective into how a social generative AI live contest known as Prompt Battles may function as an emerging AI literacy practice.

At the core of this work are questions around how we can collaborate with technology, and at times resist, in ways that make us human. From these learnings, how can we create pathways for critical data literacy that allow for individuals and communities to reclaim their agency?
 
From data scientists to researchers to data stewards, this talk aims to offer new perspectives for understanding your own practice and how it may sit within a broader scale of things. From the tools and methods to more abstract things like world views and values, how can we critically understand our outputs and challenge our own modes of production.

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