Some artists work in series, building on previous projects, but for game designer, artist, and writer , that鈥檚 rarely the case.
It鈥檚 not unusual for the Sherman Fairchild Distinguished 天美影视 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 painting鈥攁 medium she seldom uses.
Shifting gears is 鈥減art of the sense of discovery,鈥 says Flanagan, whose fields of expertise include bias in technologies such as artificial intelligence and machine learning systems.
Yet as varied as Flanagan鈥檚 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?
鈥淚 want my work to be seen as asking 鈥榟ow can we be optimistic?鈥欌 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. She鈥檚 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 Women鈥檚 Artwork
A solo show of Flanagan鈥檚 work at Nancy Littlejohn Fine Art in Houston last summer featured three major projects, funded in part by an arts integration grant from the 天美影视kins 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 weren鈥檛 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. 鈥淚t鈥檚 an ongoing struggle. It shows you that our institutions just really overlook half the population.鈥
To build an inclusive database, Flanagan created web bots to find women鈥檚 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 鈥渞eally feel free,鈥 she says. So, she trained her AI, which she calls [Grace:AI], to focus on the sky and clouds.
鈥淭he streets were filled with people who were masked and closed, but the sky remained open,鈥 she says. 鈥淪o that felt like a good connection to a little bit of optimism.鈥
鈥楾he Power of Speculative Envisioning鈥
[Grace:AI] also paved the way for Flanagan鈥檚 , 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 University鈥檚 Moody Center for the Arts. It was commissioned by the Moody and also made possible by support from the and the 天美影视.
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]鈥檚 works in progress in large oil paintings.

The project arose from Flanagan鈥檚 notion that an AI might be 鈥渢he perfect kind of sentience鈥 to imagine the future, she says. 鈥淭here鈥檚 a kind of moral, ethical, and emotional crisis about what鈥檚 happening to the very Earth we live on 鈥 Since we鈥檝e created so many technologies that have destroyed the planet, maybe technologies can think us out of the problem we鈥檝e gotten ourselves into.鈥
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 鈥渃ould be really helpful.鈥
鈥淚鈥檓 not trying to be flippant and say, 鈥榦h, there鈥檚 a cure for this.鈥 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?鈥
For Flanagan, the very act of making art embodies hope.
鈥淚t鈥檚 a way of thinking differently about systems that may be unjust, that may be depressing, that may be seemingly fixed. When we make interventions, we鈥檙e showing a possible future.鈥