Some artists work in series, building on previous projects, but for game designer, artist, and writer , thatâs rarely the case.
Itâs not unusual for the Sherman Fairchild Distinguished Professor in Digital Humanities to learn a new computer language for a project, or to move in directions surprising even to herself, says Flanagan. For a recent installation, she dove into oil paintingâa medium she seldom uses.
Shifting gears is âpart of the sense of discovery,â says Flanagan, whose fields of expertise include bias in technologies such as artificial intelligence and machine learning systems.
Yet as varied as Flanaganâs works are, they tend to reflect her sense of playfulness and explore similar questions, such as what can biased technological systems teach us about ourselves? And how can they, and the world, be changed for the better?
âI want my work to be seen as asking âhow can we be optimistic?ââ says Flanagan, the founding director of , an interdisciplinary studio that designs and studies games with social impact.
Flanagan, who has taught at Dartmouth since 2008, is on sabbatical until June. Sheâs having a busy year.

Flanagan will give the keynote talk at the Games as Critical Practice festival in Basel, Switzerland, next week. She also will give the keynote at the UNESCO-sponsored Sharing Desired Futures: Practices of Futurecasting in Linz, Austria, this spring.
A book she co-authored, , is due out next month. And a new exhibition of her digital poetry and prints was featured in the show Computational Poetics, at the Beall Center for Art and Technology, University of California Irvine, which wrapped on Jan. 14.
AI and Womenâs Artwork
A solo show of Flanaganâs work at Nancy Littlejohn Fine Art in Houston last summer featured three major projects, funded in part by an arts integration grant from the Hopkins Center for the Arts. One of them, , is a collection of prints depicting computer-generated images of clouds. It grew out of an idea Flanagan had to create a feminist AI, trained on artwork by women.
Compiling the training data was a real eye-opener, says Flanagan, who uses the computer as a collaborator in her work.
Scraping the database of the Metropolitan Museum of Art, which has more than a million objects, yielded only about 500 images, Flanagan says. And online searches werenât much better.
Bias enters systems in unusual ways. Reddit, for example, is used frequently to train machine learning language programs, and most Reddit users are white male Westerners, she says. âItâs an ongoing struggle. It shows you that our institutions just really overlook half the population.â
To build an inclusive database, Flanagan created web bots to find womenâs artwork from various countries and historical periods. She and her student assistants downloaded images from the internet, and the National Museum of Women in the Arts provided 3,400 more, for a total of about 25,000 images.
Flanagan created Daydreams during the COVID-19 lockdown, when going outside and looking up was the only way to âreally feel free,â she says. So, she trained her AI, which she calls [Grace:AI], to focus on the sky and clouds.
âThe streets were filled with people who were masked and closed, but the sky remained open,â she says. âSo that felt like a good connection to a little bit of optimism.â
âThe Power of Speculative Envisioningâ
[Grace:AI] also paved the way for Flanaganâs , which explores possibilities for sustainable cities in the future. The installation was part of the show Urban Impressions: Experiencing the Global Contemporary Metropolis at Rice Universityâs Moody Center for the Arts. It was commissioned by the Moody and also made possible by support from the and the Hop.
For Metaphysical Reclamations, Flanagan prompted [Grace:AI] to design buildings in the styles of female architects, and then to illustrate them being taken over by natural surroundings and trees. She captured several of [Grace:AI]âs works in progress in large oil paintings.

The project arose from Flanaganâs notion that an AI might be âthe perfect kind of sentienceâ to imagine the future, she says. âThereâs a kind of moral, ethical, and emotional crisis about whatâs happening to the very Earth we live on ⌠Since weâve created so many technologies that have destroyed the planet, maybe technologies can think us out of the problem weâve gotten ourselves into.â
Flanagan incorporated trees because they have long held spiritual, political, social, and cultural significance for people around the world, even serving as monuments during the Middle Ages, much as buildings do today, she says. Bringing back that reverence âcould be really helpful.â
âIâm not trying to be flippant and say, âoh, thereâs a cure for this.â But I want to use the power of speculative envisioning to ask what could happen if we tried this or that? What could the world look like?â
For Flanagan, the very act of making art embodies hope.
âItâs a way of thinking differently about systems that may be unjust, that may be depressing, that may be seemingly fixed. When we make interventions, weâre showing a possible future.â
