If the notion of âaffective infrastructuresâ points not to physical and tangible systems but to elements that are unstructured and felt bodily, how can such infrastructures be grasped, examined, and possibly embraced? Reflecting upon her work and experience with and within the Affective Infrastructure Study Circle, Maya Indira Ganesh discusses the importance of collectively picking up threads, weaving them together, and acknowledging a binding force that might be only ephemeral. As she recalls, interweaves, and expands on some of the topics tackled, Ganesh invites us to consider the traps of neoliberalismâs âmindfulnessâ and the violence of atmospheric governance, while she also underlines the potential for new forms of coming together that transcend a fixed understanding of belonging.
The Sutradhar (Sanskrit: âone who holds the stringsâ) is a well-known figure across Indian theater. This character is a shapeshifter: puppeteer, wedding planner, cricket team captain, annotator; as well as the more familiar stage manager in Western theatre. Their superpower is the ability to break through the fourth wallââone of the most lasting effects of the Western theatre upon contemporary Indian theatreââ 2 to blur performance and reality, audience and actor. Stepping on- and offstage nimbly, drawing your attention to footnotes and plot alike, the Sutradharâs role suggests that not everything always makes sense at first glance nor holds together perfectly. The task of picking up the threads and weaving them together is always ongoing, and complex; but the play [of life] is also a complex, as in, it is an agglomeration of many, different things all acting with force, together.
Threads. Complex. Holding together. One of the Study Circles that formed part of the 2019 edition of transmediale was organized around Lauren Berlantâs concept, âaffective infrastructures.â Our Circle took on the role of the Sutradhar in working with this concept: annotating, finding threads, weaving, sometimes weaving catâs cradles, sometimes hammocks. More specifically,
Affect includes the cognitive, proprioceptive, behavioral and psychological; facial expressions, respiration, tone of voice, posture, all transmit affect, which means âwe are not self-contained in terms of our energies. There is no secure distinction between the âindividualâ and the âenvironmentâ⌠Because affect is unformed and unstructured (unlike feelings and emotions) it can be transmitted between bodies.ââ 4 So the Study Circleâs starting points for thinking about infrastructure and affect, and âaffective infrastructure,â were âin the air,ââ 5 ephemeral, unstructured. Some of the experiences we included in our eventsâ 6 and publicationsâ 7 were: foraging for mushrooms in parks and finding pleasure-seeking bodies as well; passivity, negative affects, and lethargy; the right to asylum being computed and validated by speech recognition systems; security as distributed and shared; #MeToo and its use of spreadsheets and hashtags. Through these contributions, we asked what it means to be connected to others not only by emotions that are shaped and shared by language, but desires that are visceral, based on feelings, that are pre-linguistic and bodily.â 8 âAffective infrastructureâ pushes up against the notion that âinfrastructuresâ are physical and material relationships; perhaps affective infrastructures are more like synaptic relationships, in which neurotransmitters convey messages across the gaps between neurons by osmosis, rather than how muscles are attached to bones by tendons.
Affective infrastructures can embody multiple dimensions at the same time. For example, consider how our faces, voices, and body language are mined to feed the growing industry of âEmotion AI.â Emotional artificial intelligence is âthe process of giving machines the ability to recognize and react to human emotion. The technology has the ability to tell whether a customer is angry or upset, whether a driver is feeling tired or if a patient is feeling lonely or depressed.ââ 9 Humanoid robots, digital assistants and chatbots are perceived to be awkward to interact with because they lack affect.â 10 So companies like Affectiva, an early pioneer in the field, are developing datasets of human affect and emotion to train future bots and digital interfaces to âunderstand all things humanâ as their tag line goes.â 11 Affect becomes data for algorithms to chew on and learn from, melds into internet infrastructure, and is fed back to us in and as the digital, and as how we relate to each other and ourselves.
Consider the following examples. Woebot, a therapy bot in an app, helps track your mood, and talks you through the reality of living with depression.â 12 And Lovot,ââpowered by loveââis a silly, adorable little robot that just wants to make you happy.â 13 Ashley Madison,â 14 the website for married people to have affairs discreetly, developed more than 70,000 bots to masquerade as women to engage at least 11 million men in sex chats.â 15 This was revealed only when the website was hacked and the data leaked. Such intimate spaces might only become more fulfilling as they become better at generating affect through the processing of our own emotion and affect by machine learning. However, the male clientele of Ashley Madison were already readily fulfilled by bots, even though they âwerenât exactly smartâ and were âfairly annoying.ââ 16
The Circleâs discussions focused less on advances in AI technologies, but more on the bodyâmaterial and digitalâin the âwebs of relationsâ we began to build. Marija Bozinovska Jones, for instance, introduced the quantified self, and how the body was recorded as data in order to control its fluctuations and restore it to order. In the Circleâs collaborative writing exercise she refers to how âinformation overload to a point of feeling overwhelmedâ leads to disengagement; âand then we need to re-learn how to breathe.ââ 17 She brought in examples of how breathing-based wellness culture, self-care, yoga, meditation, âgong baths, motivational talks, positive affirmations, personal growthâ and the quantified self cohere into a neoliberal response to psychic and social crisis. Miya Tokumitsu puts this in perspective, writing:
It is a good thing to breathe deeply; but âmindfulnessâ and âself careâ manipulate the individual to blame and rely on herself when things go wrong, rather than to organize in the workplace, reach out, and rely on others. Breathing as self-care under conditions of neoliberalism, precarity, and inequality stands in contrast to conditions of apocalyptic breakdown in other parts of the world. For example, New Delhiâs air quality (or lack of) is now worse than Beijingâs.â 19
And if it is not pollutants, then it is poison: In the conversation Affective Infrastructures: A Tableau, Altar, Scene, Diorama, or Archipelago , Study Circle members Lou Cornum and Tung-Hui Hu refer to the conditions of institutional violence that migrants to the United States face. Writing at the end of 2018, Cornum speaks of tear gas as being âin the airâ at the border. Hu says that the frame of âaffective infrastructuresâ allows us to see how affectâas tears from tear gas, fear, violence, or algorithmically provoked tearsââis made infrastructuralâhow it is stabilized and channeled, manufactured, and circulated.â Anna Feigenbaumâs book Tear gas:From the Battlefields of World War I to the Streets of Todayâ 20 shows how âatmospheric governanceâ as a concept allows us to see the infrastructural control exerted by borders that exist in all dimensions, such as above our heads and not just on the ground. Feigenbaum has a quote by Susan Saxe on her website that almost literally appears to resonate with the notion of âaffective infrastructureâ: âWhat inspiration could invent the infrastructure of the vine, the grass revolt against cement, the rebellion of the dandelion?ââ 21 And to return to affective computing in the space above our heads, a future police force could upgrade from tear gas to surveillance drones hovering in the air and running software that will predict violence based on bodily affect,â 22 specifically bodily posture and pose recognition.â 23
The Study Circle turned to another dimension of affect as infrastructure by unpacking online and offline activism and the #MeToo movement. #MeToo started as âaffect data,â anonymous lists, spreadsheets, and hashtags detailing violence and discrimination. These bottom-up, flexible approaches to naming abusers disregard formal structures of the law and âdue processâ, and shake up established institutions.
There is material, and mostly invisible, work that takes place around, behind, and on the sidelines of #MeToo disclosures on social media. For example, we spoke of a new chapter for women bringing complaints of sexual harassment against their bosses and colleagues. Women are making new affective infrastructures with and for each other: getting legal advice, support with leaving their jobs and looking for new ones, assembling evidence for legal cases, managing and mitigating online attacks. They are organizing and supporting each other in WhatsApp groups, in Twitter DMs, in codes of conduct, new investigations into old abuses, and new tactics to negotiate intimacy in personal and professional relationships.
Study Circle member Pedro Oliveira invoked Ădouard Glissantâs framing of donner avec to imply a âweb of relationsâ one must enter in order to belong without appropriating: âthe nod, the glance exchanged, the deep breathing people often exchange with one another that transcends the necessity of making-sense-of.ââ 24 Connections and belonging are forged from such subtle and fleeting things. But the task of picking up the threads of this belonging and weaving them togetherâand acknowledging that their ephemerality has powerâis affective infrastructure. This is especially complicated when the threads are not actual threads, but, as in theater, are glances, pauses, tension, presence. How do we read these as parts of the play of life, movements, and relationships, and maintain them, or resist and challenge them? Like the Sutradhar, our Circle was tasked with weaving these subtle, sometimes unseen and only felt, dimensions of a story together: what is happening on stage is actually perhaps forming and un-forming elsewhere, somewhere outside the proscenium arch, hovering in the air.
- 1 Lauren Berlant, âThe commons: Infrastructures for Troubling Times,â in Environment and Planning D: Society and Space 34, no. 3 (2016): 393â419.
- 2 Angelie Multani, ââJust like a womanâ: Female impersonation, gender construction and role playing in Begum Barve,â in Women in Asian theatre: Aesthetics and politics, Arya Madhavan, ed. (Abingdon and New York: Routledge, 2017)
- 3 Study Circle: Affective Infrastructures (2019), https://2019.pastwebsites.transmediale.de/content/study-circle-affective ....
- 4 Eric Shouse, âFeeling, Emotion, Affect,â M/C Journal, 8 (6), Dec 2005: http://journal.media-culture.org.au/0512/03-shouse.php .
- 5 Lauren Berlant, âThe commons: Infrastructures for Troubling Times,â in Environment and Planning D: Society and Space 34, no. 3 (2016): 413.
- 6 Study Circle: Affective Infrastructures (2019), https://2019.pastwebsites.transmediale.de/content/study-circle-affective ....
- 7 âAffective Infrastructures: A Tableau, Altar, Scene, Diorama, or Archipelago,â conversation in transmediale journal, issue #3 (2019): https://transmediale.de/content/affective-infrastructures-a-tableau-alta ....
- 8 Ibid.
- 9 Sam Forsdick, âWhat is emotion AI and could it teach robots how to feel empathy?â in Compelo, March 2019: https://www.compelo.com/emotion-ai-teach-robots-empathy/amp/?__twitter_i ....
- 10 Yaniv Leviathan and Yossi Matias, âGoogle Duplex: An AI System for Accomplishing Real-World Tasks Over the Phone,â Google AI Blog: https://ai.googleblog.com/2018/05/duplex-ai-system-for-natural-conversat ....
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- 15 Annalee Newitz, âAshley Madison Code Shows More Women, and More Botsâ in Gizmodo (August 2015): https://gizmodo.com/ashley-madison-code-shows-more-women-and-more-bots-1 ....
- 16 Annalee Newitz, âAshley Madison Code Shows More Women, and More Bots.â in Gizmodo, August, 2015: https://gizmodo.com/ashley-madison-code-shows-more-women-and-more-bots-1 ....
- 17 âAffective Infrastructures: A Tableau, Altar, Scene, Diorama, or Archipelago,â conversation in transmediale journal, issue #3 (2019): https://transmediale.de/content/affective-infrastructures-a-tableau-alta ....
- 18 Miya Tokemitsu, (n.d). âTell Me Itâs Going to be OK: Self-care and social retreat under neoliberalism.â in The Baffler, Issue No. 41, 2018: https://thebaffler.com/salvos/tell-me-its-going-to-be-ok-tokumitsu .
- 19 Iain Marlow and Anindya Upadhyay, âDelhi pollution beats Beijingâs as air quality goes off the chart,â in liveMINT (November 2017): https://www.livemint.com/Politics/GKomAuLKoUJclYkQYaJumJ/Delhi-pollution ....
- 20 Anna Feigenbaum, Tear gas: From the Battlefields of World War I to the Streets of Today (London: Verso, 2019).
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- 22 James Vincent, âDrones taught to spot violent behavior in crowds using AIâ in The Verge (June 2018): https://www.theverge.com/2018/6/6/17433482/ai-automated-surveillance-dro ....
- 23 Singh, A., Patil, D. and Omkar, SN (2018). Eye in the Sky: Real-Time Drone Surveillance System (DSS) for Violent Individuals Identification using ScatterNet Hybrid Deep Learning Network.
- 24 âAffective Infrastructures: A Tableau, Altar, Scene, Diorama, or Archipelago,â conversation in transmediale journal, issue #3 (2019): https://transmediale.de/content/affective-infrastructures-a-tableau-alta ....