Category: Presentations

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procedural feminism

This talk was given as part of an invited panel on the topic of “Gender Play” at Extending Play 2015. In it, I discuss the politics of procedures. It is based on a talk I had given earlier in the year at Different Games.

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can computers be feminists?

This talk from Different Games 2015 was part of a panel presentation along with Amanda Phillips, Tanya Short, and Michael Cook. The panel prompt was: “can computers be feminists?” In this talk, I argue that computers cannot be feminists because artificial intelligence lacks empathy, but that as designers we have a responsibility to ensure that the algorithms we create are imbued with the knowledge required to behave as though they are feminists.

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socially responsible game education

This talk was given at the Education Summit at the 2015 Game Developers Conference. In it, Jane Pinckard and I advocate for treating issues of diversity and inclusion throughout a game curriculum, rather than in a single dedicated course. We offer strategies that have worked in our own courses for introducing and discussing these complex issues.

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the power and peril of PCG

This talk was given at the 2015 AI Summit at the Game Developers Conference. Julian Togelius and I were asked to give a 40 minute overview of academic research in procedural content generation. It outlines several technical approaches to PCG with their implementation tradeoffs, identifies ways in which it can be used in design, and poses questions about how to evaluate it.

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understanding our past to improve our future

This talk was given at the symposium on procedural content generation at ITU Copenhagen, November 2014. It outlines the major motivations for doing research in PCG, identifies historical trends, and asks questions about where we are going next.

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make something that makes something (that isn’t a game)

This talk from the 2014 procedural content generation game jam advocates for participants to think more broadly about the consequences of what they will make and encourages wild experimentation, to help us move to the future of procedural content generation.