tech w/o judgment

perhaps..

ie: tech as it could be.. listening to every voice every day.. and using that data – words – idio-jargon – from 8b daily curiosities.. to connect local people.. everyday.. to do (toghether) the thing(s) they can’t not do

with 2 conversations as infrastructure

listen & connect to undo our hierarchical listening

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adding page day of twitter exchange w salvatore.. ending with this.. (after reading his piece – full exchange below):

The book starts by exploring the many theories and methodologies which have been used to try to capture and use the revolutionary potential found in the daily lives of cities..t

let’s try this: 2 convers as infra via tech as it could be.. listening to every voice everyday.. in order to augment our interconnectedness

@: “listening to every voice everyday.. in order to augment our interconnectedness” no, i’m very latour-ish in this: not the researcher observinng bacteria on the petridish, but a performer together with other people The scientist can finally leave the lab

@monk51295: right.. no one observing.. tech just listening.. and matching w/o judgement (even/esp researchers) i think that’s one thing tech is better at than humans.. something we haven’t yet tapped into

@: even though there is a feedback loop between tech and humans, so “w/o judgement” isn’t really possible, right? we should take into consideration that the “tragedy” of these paradoxes is our door to complexity

@monk51295: hmm.. yeah i don’t know. interesting

so i guess i’m thinking there’s no feedback loop with humans.. just.. 1\listen to words 2\use like words to match locals.. 3\ repeat next day

i mean humans can change the way they do verbiage the next day.. depending on how well the match up went that day and prior.. but the tech isn’t paying attention to that like a human would.. it’s still just matching words.. something i don’t think a human could do.. esp not for very long.. eventually they/we would start trying to make better connections for people.. or interpret in different ways.. but if the tech just is instructed to match words.. and that’s all the data tech gets.. i don’t see judgment at play

not sure about the tragedy ness..?

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full exchange from feb 2020

#Comunicazione Ecosistemica https://t.co/o2LanOat85 #ecologia #media

Original Tweet: https://twitter.com/xdxd_vs_xdxd/status/1229767991589515265

had to google translate from italian

Ecosystem Communication – from “military” to non-military communication :)

[Note: we are obviously not talking about a global control system, typical of dystopian scenarios. We are talking about being able to reappropriate a mode of expression and storytelling. When we invented GhostWriter, the first book of a new literary genre that we called “algorithmic autobiography”, we did such an operation. We took back what was a typical scenario of the most frightening episodes of Black Mirror, and we transformed it into culture, making it a tool for our opportunities and freedom of expression, and for the promotion of our rights and freedoms. We can imagine many more of these inventions to be put in place. Moreover, using techniques such as those of Ubiquitous Commons it is possible for us to choose for what purposes these stories and information can be used, and by whom. So even in this sense the scenario ceases to be the dystopian one of which we rightly have so much fear and anger, and turns into an opportunity for culture, expression and friendship.] And, therefore, imagine that it is possible to listen and surf these micro-stories, and the relationships they tell. That it is possible for everyone – not just for Facebook, or for the CIA or for a big company like ENI or something else – to know these stories and relationships

[..]

In this scenario, another process becomes possible, which we call Digital Acupuncture. This is a book that we wrote on the subject: in the specific case it was applied to cities, but we also apply it to the environment and psychology. (it costs a lot because it is a scientific publication: if you want to read it, ask us) Digital Acupuncture speaks precisely of this possibility of ecosystem communication. Just as the acupuncturist can observe the energy flows in the body, and decide to insert the needle right where it is needed, to create small vortices that reactivate interrupted flows, Digital Acupuncture speaks of how in a condition like the one we are in speaking, we can gather to observe how the communicative body of the ecosystem is going, and decide together how and where to place needles, establish connections and maybe even have a nice collective session of Tai Chi

[..] 

Is it effective? It depends on what is meant by effective. Definitely not, if by effective we mean being able to bomb well, or to extract data and content from people’s behavior, in order to then be able to sell them to large operators, in one way or another. A “military” would laugh. Definitely yes, if you aim to transform society in a less violent and more supportive sense, with the tools of culture and psychology, rather than with weapons.

book – digital acupuncture (2016): https://www.amazon.com/Digital-Urban-Acupuncture-Communication-Information/dp/3319434020

This book explores the possibility to observe the lives of cities through ubiquitous information obtained through social networks, sensors and other sources of data and information, and the ways in which this possibility describes a new form of Public Space, which can be used to define new forms of citizenship and participated city governance.. t

perhaps only if we change the data/input..ie to self-talk as data.. (to get the whales out of sea world et al)

@: more like deciding that weeds growing inside air conditioner is the data, instead of the temperature

The work is the result of years of research across sciences, arts, design, ethnography, cultural geography, performed by multiple researchers, understanding the Relational Ecosystems of cities (the flows of relation, information, knowledge and emotion in the city) and using them to reinterpret the concept of Urban Acupuncture: from the Third SpaceThird Landscape and Third Generation City, to the Third Infoscape; from Urban Acupuncture to Digital Urban Acupuncture.

The book starts by exploring the many theories and methodologies which have been used to try to capture and use the revolutionary potential found in the daily lives of cities..t

let’s try this: 2 convers as infra via tech as it could be.. listening to every voice everyday.. in order to augment our interconnectedness

@: “listening to every voice everyday.. in order to augment our interconnectedness” no, i’m very latour-ish in this: not the researcher observinng bacteria on the petridish, but a performer together with other people The scientist can finally leave the lab

@monk51295: right.. no one observing.. tech just listening.. and matching w/o judgement (even/esp researchers) i think that’s one thing tech is better at than humans.. something we haven’t yet tapped into

@: even though there is a feedback loop between tech and humans, so “w/o judgement” isn’t really possible, right? we should take into consideration that the “tragedy” of these paradoxes is our door to complexity

@monk51295: hmm.. yeah i don’t know. interesting

From De Certeau, to Latour, Bateson, Bhabha, and all the way to Castells, Clèment, Boyd, Casagrande. In a progression which moves from the Third Space (Soja, De Certeau), to the Third Landscape (Clèment), to the Third Generation City (Casagrande), to the Third Paradise (Pistoletto), the book arrives at a definition of the Third Infoscape, following up on Kevin Lynch: a new legibility and imageability of the city.

Its main themes and objectives lie in the desire to observe and understand the radical transformation of the definitions, boundaries and configurations of what we call public and private spaces, in different cultures and communities, in the age of communication, information and knowledge, and to use these understandings to formulate a set of working hypotheses for the positive, constructive, active and participatory usage of these transformed scenarios, contributing to the re-definition of concepts such as citizenship, city-governance, urban planning, civic decision-making, and more. And using, in the process, techniques such as Urban Acupuncture, Actor-Network Theory, Diasporic analysis, Peer-to-peer Urbanism and more. Multiple real-life research scenarios and documented case studies will be used, from 4 continents, coming from our research and from other international contributions.

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RT @instigating: It’s the role of humans to detect & remove #bias of our #AI machines #racism https://t.co/a5OXy8yPAz
Original Tweet: https://twitter.com/mbauwens/status/1270420441585389568

In general, machine learning models should be:

  1. Lawful—respecting all applicable laws and regulations
  2. Ethical—respecting ethical principles and values.. t

law/ethics.. already heavily biased..? who’s deciding?

maybe we’re just using tech (and living life) for the wrong things.. in the wrong ways

The COMPAS example shows how unwanted bias can creep into our models no matter how comfortable our methodology.. t

yeah.. i’m thinking it’s more the models/methodology/data/input that are biased.. ie: made for whales in sea world..

perhaps better questions.. why are we incarcerating.. why are we screening families..

perhaps we really can have tech w/o judgment ie: tech as it could be

A common, naïve approach to removing bias related to protected classes (such as sex or race) from data is to delete the labels marking race or sex from the models. In many cases, this will not work, because the model can build up understandings of these protected classes from other labels, such as postal codes.

imagine if the only label/data we used was 8b daily curiosities

Even the best practices in product design and model building will not be enough to remove the risks of unwanted bias, particularly in cases of biased data.. t

which i’m guessing today.. is all our data

It is important to recognize the limitations of our data, models, and technical solutions to bias, both for awareness’ sake, and so that human methods of limiting bias in machine learning such as human-in-the-loop can be considered..t

it’s important to recognize that our data is from whales in sea world

As the intelligence of machine learning models *surpasses human intelligence, they also surpass human understanding. But, as long as models are designed by humans and trained on data gathered by humans, they will inherit human prejudices.

yeah.. i don’t think *that’s happening

Managing these human prejudices requires careful attention to data, using AI to help detect and combat unwanted bias when necessary,

again.. currently.. all the data

which is why so important to not miss this rare global pause.. as a chance to reset us

_________

we need to let go of judge\ment (other-ing).. and realize our interconnectedness.. i know you ness

perhaps we can have tech w/o judgment ie: tech as it could be

to undo our hierarchical listening ie: 2 convers as infra

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