Tag: artificial intelligence

AI as a Feminist Issue

By choosing to look at the funding from the American Government on this field, I aim to tell a different story about AI. A quick search for the word “librarian” on Google reveals images upon images of women holding books amongst big shelves, attending to patrons, reading stories for children, or stocking book shelves. Librarian is one of those professions that, like many others, such as nurse and secretary, have been associated with the female world.  If this text is about AI, you might be asking why I’m writing about libraries and librarians–but as scholars Safyia Noble (2018) in her Algorithms of Oppression and Monica Westin (2023) more recently have shown, what most people in Western countries usually understand as the internet, and what fuels the data collection of digital information that feeds generative artificial intelligence (AI) such as ChatGPT, was first started in the 1970s by groups of librarians (read more...)

Platypod, Episode Seven: An Anthropology of Data, AI, and Much More

Download the transcript of this interview. For this episode of Platypod, I talked to Dr. Tanja Ahlin about her research, work, and academic trajectory. She’s currently a postdoctoral researcher at the University of Amsterdam in the Netherlands, and her work focuses on intersections of medical anthropology, social robots, and artificial intelligence. I told her of my perspective as a grad student, making plans and deciding what routes to take to be successful in my field. Dr. Ahlin was very generous in sharing her stories and experiences, which I’m sure are helpful to other grad students as well. Enjoy this episode, and contact us if you have questions, thoughts, or suggestions for other episodes.  (read more...)

If I Could Talk to the Algorithm

In the film Doctor Dolittle (1967), the title character yearns to “Talk to the Animals,” as the song goes, to understand their mysterious and often vexing ways. It is interesting to observe a similar impulse to understand and communicate with algorithms, given their current forms of implementation. Recent research shows that intense frustration often emerges from algorithmically driven processes that create hurtful identity characterizations. Our current technological landscape is thus frequently embroiled in “algorithmic dramas” (Zietz 2016), in which algorithms are seen and felt as powerful and influential, but inscrutable. Algorithms, or rather the complex processes that deploy them, are entities that we surely cannot “talk to,” although we might wish to admonish those who create or implement them in everyday life. A key dynamic of the “algorithmic drama” involves yearning to understand just how algorithms work given their impact on people. Yet, accessing the inner workings of algorithms is difficult for numerous reasons (Dourish 2016), including how to talk to, or even about, them. (read more...)

People Are Not Fixed Media

Sensory ethnography continually emphasizes that the sensorium is just as much a (product of) sociocultural practice as it is a biophysiological property of the human species (Pink 2015). Recognition of this point has prompted several shifts in ethnographic work. On the one hand, it has pushed ethnographers to include in their writing a greater discussion of how subjects engage with the world through their senses as well as how the putatively biological phenomenon of sensory perception is so highly variable across and within sociocultural milieux. On the other, it has inspired ethnographers to pursue media practices beyond text, particularly through ethnographic film or sound recording (Feld 1991). Regardless of form, this work has greatly increased the possibility for the reader, listener, or viewer to experience with their senses the social environment that subjects inhabit and where the ethnographer conducted fieldwork. (read more...)

Human as the Ultimate Authority in Control

(Editor’s Note: This blog post is part of the Thematic Series Data Swarms Revisited) With the growing size of historical data available to researchers and industrial practitioners, developing algorithms for automating numerous aspects of everyday human life has become ever more dependent on data-driven techniques. Previous approaches relying on formal methods and global optimization no longer meet the increasing scalability requirements of modern applications. One of the most successful global optimization algorithms, such as Particle Swarm Optimization (PSO), continues to be employed in practice but more often as a part of more complex approaches, only being able to provide partial solutions to complex modern optimization problems. PSO was first introduced by Kennedy and Eberhart (1995) who were inspired by the most mesmerizing phenomenon in nature—bird flocking. As in any collective behavior, birds converge to an equilibrium formation that maximizes their benefits as individuals and as a society overall. V-Formation as (read more...)

‘Dynamic Totalities’: Data Surveillance as a Paradigm

In the zeitgeist of academia, surveillance has clearly an ominous connotation. However, is surveillance not fundamentally a way of looking? More formally, a way of looking at totalities. Whatever is studied, observed, or measured is part of a definitive totality. A virus is part of a sample. Families are part of a community. Workers are part of the factory. A scientist is part of a laboratory. One reason we are cautious about speaking of totalities is because we are scared of being reductive. But what if we could dynamically measure parameters defining the totalities which concern us. What if we could define our totalities at will and observe phenomena within its boundaries, track phenomena flowing out of it, or ingressing it? If this sounds like an uncanny  ‘intelligent’ camera or rather a poetic job re-description of the individual in the CCTV room, then it is meant to be so. Data surveillance can offer perhaps a fresh paradigm for observation and analysis irrespective of the actual use of computers that enable it. (read more...)

MacHack VI: Computer chess and the roots of AI

On January 21, 1967, a mild winter Saturday in Cambridge, Massachusetts, a couple of computer researchers from the Artificial Intelligence (AI) Laboratory at the Massachusetts Institute of Technology (MIT) flagged down a taxi near Tech Square. Loading a bulky, 60-pound teletype called a 35 KSR (“Keyboard Send/Receive”) into the trunk, they set off for downtown Boston, across the river. A short while later, the cab pulled up at the Young Men’s Christian Union (YMCU), and the researchers wrestled the machine up the stairs to the second floor, where the Boylston Chess Club was setting up for a weekend tournament. (read more...)

The Future of LOVOT: Between Models of Emotion and Experiments in Affect in Japan

Aya is anxiously waiting for a future in which humans coexist with robots. She didn’t think this was possible in her lifetime, but when she learned about LOVOT, a 43 cm-tall furry robot on wheels designed specifically to seek out and offer affection, she was elated to discover that the future she had imagined was within reach. She urged me to take hold of it—LOVOT, that is. We were chatting at a recent Talk Session for LOVOT fans and a few of the creatures were spinning around a table as we talked. Its wheels folded into its body, and with animated LED eyes it looked up at me and blinked. I picked it up and Aya poked its nose, eliciting something like an irritated giggle from the robot, whose name I learned was Cherry. Aya stroked Cherry’s belly and its eyes blinked a few times and then slowly closed. “It fell asleep! How cute (kawaii)!” Aya exclaimed. Although Aya claimed to be uninterested in robots, technology, or anything in the IT world in general, she was immediately and, as she describes, inexplicably moved by LOVOT. It’s just an emotion (kanjō), she reflected. “You know about lonely people (kodoku na hito) in Japan, right?” Aya asked. “I think that everyone needs to feel affection (aichaku), and everyone enjoys this feeling we can get from cute things. It fulfills your heart (kokoro o mitasu). But not everyone can get this feeling… I think that in the future maybe one or two people out of ten might simply have relationships with things like LOVOT. It’s not really any different from the kind of affection one gets from a dog or cat, or even another person. And it’s their choice! This is a really interesting future!” (read more...)