From e10833fcc6667e3d520b494a487f8c8f3efd94fa Mon Sep 17 00:00:00 2001 From: pluralitybook Date: Fri, 23 Feb 2024 15:40:22 -0500 Subject: [PATCH] Updating 03-00, adding 05-05 and associated pictures adding --- contents/english/03-00-what-is-plurality.md | 33 ------ ...273-\346\225\270\344\275\215-plurality.md" | 36 ++++++ contents/english/05-05-administration.md | 105 ++++++++++++++++++ figs/farmer.jpg | Bin 0 -> 57410 bytes figs/triptych.png | Bin 0 -> 121444 bytes 5 files changed, 141 insertions(+), 33 deletions(-) delete mode 100644 contents/english/03-00-what-is-plurality.md create mode 100644 "contents/english/03-00-what-is-\342\277\273-\346\225\270\344\275\215-plurality.md" create mode 100644 contents/english/05-05-administration.md create mode 100644 figs/farmer.jpg create mode 100644 figs/triptych.png diff --git a/contents/english/03-00-what-is-plurality.md b/contents/english/03-00-what-is-plurality.md deleted file mode 100644 index 49ad57e5..00000000 --- a/contents/english/03-00-what-is-plurality.md +++ /dev/null @@ -1,33 +0,0 @@ -# What is Plurality? - -> "Democracy is a technology. Like any technology, it gets better when more people strive to improve it." - Audrey Tang[^Audrey] - -> "Action, the only activity that goes on directly between men without the intermediary of things or matter, corresponds to the human condition of plurality … this plurality is specifically the condition — not only the conditio sine qua non, but the conditio per quam — of all political life." - Hannah Arendt[^Arendt] - -In the previous chapter, we discussed the growing conflict between technology - or, more precisely, technology as implemented largely by profit-seeking corporations, and democracy - or, more precisely, democracy as implemented by top-down centralized nation states, and how these two forces seem to be pulling in opposite directions. To develop an approach that moves beyond this toxic binary, it helps to first acknowledge and understand the thing that the two sides have _in common_. This is a complex topic, but in our view a reasonable summary can be made as follows: the thing that the two perspectives we previously labeled "Libertarianism" and "Technocracy" have in common is a **monist view of the world that sees the social world as a two-level structure of "individuals" and a monolith called "society"**. - -If one accepts such a framework, the necessity of the two-century-old fight of Jeffersonianism vs Hamiltonianism, markets versus democracy, fear of big government vs fear of big business, and now in our telling technology versus democracy, follows as an almost immediate conclusion. If you believe that the most important categories that count are "individuals" and "society", then politics reduces to a single-dimensional slider that can be shifted left or right to reflect how much emphasis you want to give each one. - -Our approach, centered around the idea of **plurality**, rejects this divide and seeks to create a richer framework. Rather than seeing the most important structures as being individuals at one end, and "society" at the other end, we see a diverse and highly intersecting array of organizations of different scopes and different sizes. - -Note that this view differs from a historically common approach to adding nuance to the "individuals vs society" divide in a key way: if individuals are points, and groups are circles, **our circles are not concentric**. - - - -Left: a concentric circle view of society, from [a sociology paper in 2004](https://www.semanticscholar.org/paper/A-Dynamic%2C-Multi%E2%80%90Level-Model-of-Culture%3A-From-the-a-Erez-Gati/50c014cf2c4e5095a49d5315a150cd4491f0cecd). Right: a plural view of society. - -Interactions between circles are complex, and much of what is beautiful about our world comes from various interactions - as well as many of our conflicts. Each individual has all kinds of loyalties to all kinds of groups, and efforts to try to strip away this plural loyalty in favor of either unbridled valorizing of self-interest or demanding supreme loyalty to some overarching structure representing "all of society" (or "all of humanity" etc), are the cause of many of the problems that we see today. Profit-making corporations, and the workflows and the technologies that they build, often cause the most damage by stripping away this complexity. Meanwhile, democracy, seeing itself as trying to create a counter-pressure, often ends up making a second punch against these diverse groups and communities by demanding that these workflows and technologies operate in ways determined and standardized at very large scales by a centralized state. - -### Defining Plurality - -Our vision of Plurality can be described succinctly in three parts: - -* **Plurality is here.** The extreme diversity of the ways in which different people interact with the world and with each other, is a deep feature of the human world that cannot be taken away. This is not even something especially particular to humanity: there are deep analogues of similar ideas across the natural sciences. -* **Plurality can be harnessed, but it must be respected.** The diversity both of us as individuals and of our combinations is like fire: it can warm us, or it can burn us. Difference often is a source of conflict. But much like making our atoms stop would freeze us to death, attempting to smooth out our differences would create a cold and likely brittle society. There is a multi-century long school of philosophy that has attempted to describe and perfect the art of harnessing our diversity as a strength; this school can be revived and pushed much further. -* **Technology must take center stage in Plurality, and plurality must take center stage in technology.** Digital technology is and will be at the center of how we interact with each other, but it will be far better placed to improve the world if works with our diversity, rather than working around it or fighting against it. - -Each of the next three chapters will go through one of these ideas in much more detail. - -[^Audrey]: [Interview with Azeem Azhar](https://sayit.pdis.nat.gov.tw/2020-10-07-interview-with-azeem-azhar#s433950), 2020 - -[^Arendt]: Hanna Arendt, The Human Condition (1958). diff --git "a/contents/english/03-00-what-is-\342\277\273-\346\225\270\344\275\215-plurality.md" "b/contents/english/03-00-what-is-\342\277\273-\346\225\270\344\275\215-plurality.md" new file mode 100644 index 00000000..063a26d4 --- /dev/null +++ "b/contents/english/03-00-what-is-\342\277\273-\346\225\270\344\275\215-plurality.md" @@ -0,0 +1,36 @@ +# What is ⿻ 數位 Plurality? + + + +> "Action, the only activity that goes on directly between men without the intermediary of things or matter, corresponds to the human condition of plurality, to the fact that men, not Man, live on the earth and inhabit the world." - Hannah Arendt, 1958[^Arendt] + +> "(A)n ideal of 'social connectedness'...denotes a society where bridging ties, across lines of difference are formed at a high rate." - Danielle Allen, 2016[^Allen] + +> "Democracy is a technology. Like any technology, it gets better when more people strive to improve it." - Audrey Tang, 2020 [^Audrey] + +     The increasing tensions between democracy and technology and the way that, starting from such extreme divisions, Taiwan seems to have overcome them naturally raises a question: is there a more broadly applicable lesson on how technology and democracy can interact to be gleaned? We usually think of technology as something that inexorably progresses, while democracy and politics as the static choice between different competing forms of social organization. Taiwan's experience shows us that more options may be available for our technological future, making it more like politics, and that one of these may involve radically enhancing how we live together and collaborate, progressing democracy much like we do technology. It also shows us that while social differences may generate conflict, using appropriate technology, they may also a fundamental source of progress. + + +     Nor is the possibility of such a direction for technology especially novel. Perhaps the most canonical work of science fiction and thus vision of a positive future is *Star Trek*, in the original series of which the heroic Vulcans maintain a philosophy of "Infinite Diversity in Infinite Combinations...a...belief that beauty, growth, progress -- all result from the union of the unlike." Consistent with this idea, we define "⿻ 數位 Plurality", the subject of the rest of this book, briefly as "technology for collaboration across social difference". + +Three-part definition of Plurality + +     To be more precise, we can break Plurality into three components (descriptive, normative and prescriptive) each associated with one of three thinkers (Hannah Arendt, Danielle Allen and Audrey Tang) each of whom has used the term in these three distinct and yet tightly connected ways, as captured in the figure above: +1. Descriptive: **The social world is neither an unorganized collection of isolated individuals nor a monolithic whole. Instead, it is a fabric of diverse and intersecting affiliations that define both our individual identities and our collective organization.** We identify this concept with Hannah Arendt and especially her book, *The Human Condition*, where she identifies Plurality as the most fundamental element of the human condition. We identify this descriptive element of Plurality especially with the Universal Coded Character (unicode) ⿻ which captures its emphasis on the intersectional, overlapping nature of identity for both groups and individuals. Furthermore, in the next chapter, "Living in a Plural World", we highlight that this description applies not merely to human social life, but, according to modern (complexity) science, to essentially all complex phenomena in the natural world. +2. Normative: **Diversity is the fuel of social progress and while it may explode like any fuel (into conflict), societies succeed largely to the extent they manage to instead harness its potential energy for growth.** We identify this concept with philosopher Danielle Allen's ideal of "A Connected Society" and associate it with the rainbow elements that form at the intersection of the squares in the elaborated ⿻ image on the book cover and in the figure above. While Allen has given perhaps the clearest exposition of these ideas, as we explore in "The Lost Dao" they are deeply rooted in a philosophical tradition including many of the American thinkers who deeply influenced Taiwan, such as Henry George and John Dewey. +3. Prescriptive: **Digital technology should aspire to build the engines that harness and avoid conflagration of diversity, much as industrial technology built the engines that harnessed physical fuel and contained its explosions.** We identify this concept the use by one of us, beginning in 2016, of the term Plurality to refer to a technological agenda. We associate it even more closely with the use in her title (as Digital Minister) of the traditional Mandarin characters 數位 (pronounced in English as "shuwei") which, in Taiwan, mean simultaneously "plural" when applied to people and "digital" and thus capture the fusion of the philosophy arising in Arendt and Allen with the transformative potential of digital technology. In the last chapter of this section, "Technology for Collaborative Diversity", we argue that, while less explicit, this philosophy drove much of the development of what has come to be called the "internet", tough because it was not sufficiently articulated it has been somewhat lost since. A primary goal of the rest of the book is to clearly state this vision and thus help it become the alternative it should be to the libertarian, technocratic and stagnant democratic stories that dominate much discussion today. + +     Given this rich definition and the way it blends together elements from traditional Mandarin and various English traditions, throughout the rest of the book we use the Unicode ⿻ to represent this idea set in both noun form (viz. to stand in for "Plurality") and in the adjective form (viz. to stand in for 數位). In English this may be read in a variety of ways depending on context: +- As "Plurality" typically when used as a noun; +- As "digital", "plural", "shuwei", "digital/plural" or even as a range of other things such as "intersectional", "collaborative" or "networked" when used as an adjective +None of these existing words perfectly captures this idea set, and thus, in some cases, one might simply say "overlap" or "overlapping" to describe it literally. The rest of the book describes more deeply the content, vision and ambition of ⿻. + + + +[^Arendt]: Hanna Arendt, The Human Condition (1958). + +[^Allen]: Hanna Arendt, The Human Condition (1958). + +[^Audrey]: [Interview with Azeem Azhar](https://sayit.pdis.nat.gov.tw/2020-10-07-interview-with-azeem-azhar#s433950), 2020 + + diff --git a/contents/english/05-05-administration.md b/contents/english/05-05-administration.md new file mode 100644 index 00000000..4dad8010 --- /dev/null +++ b/contents/english/05-05-administration.md @@ -0,0 +1,105 @@ +

Administration

+ +     To launch what has come be known as the "Year of AI", Microsoft CEO Satya Nadella demonstrated at the World Economic Forum in Davos, Switzerland how a farmer speaking a local language in rural India could use a feature phone paired with a large language model (LLM) back end to access public services. The model understood the voice, translated from the local language to the national language in which the relevant forms were available, helped navigate what needed to be filled out how and returned guidance via voice to the farmer. + +     This demonstration built on years of work and multistakeholder collaborations including AI4Bharat, Karya and IVR Junction, which have employed Indians to gather data on local languages, harnessed these data to empower LLMs to translate across these languages and connected illiterate Indians with access only to simple feature phones to connect to a "voice-based internet". Together these hold the promise of helping preserve and strengthen the cultural diversity of India by ensuring those who speak less prominent languages and live far from cities are still able to access the public services they need to sustain their ways of life. + +Indian farmers looking at a mobile phone +Courtesy of Microsoft + + +     Building on these demonstrations, Indian business, civil and government entities have launched services to harness these capabilities at scale. These include a government-provided chatbot to support applications to farmer financial support programs and a free What's App based multilingual chatbot that offers guidance on a variety of public services. + +
+ +     Administration and bureaucracy are central features organizing much of the world. They involve structured forms of communication and rulebound processing of this information that is much more formal and strict than the conventions of natural language, much less richer sensory experience, often with the aim of achieving legitimacy, equity and procedural fairness. Yet they usually allow some form of extended communication in contrast to more strictly mathematical and mechanical interactions through voting or markets. Thus they usually require deeper common understanding between participants to proceed effectively and ensure that conventions are harnessed but not violated. Administration is at the core of most interactions between individuals or small businesses on the one hand and governments or large corporations on the other hand, as well as in the formation of medium-term relationships between people within a polity without tight social connections. It governs most of what we think of as law, property systems, identification, hiring and admissions and most functions of the "administrative state" and "corporate bureaucracy". + +     The classic complaints against bureaucracy and administratoin are that they are at once capricious, granting excessive discretionary power to those who hold various adjudicatory positions in the administration, and rigid, unable to adapt to either the nuances of an individual case nor to cultural settings outside the scope of the bureaucracy's expections. In this chapter we aim to illustrate how advances in digital technology, especially generative foundation models, may help alleviate some of these trade-offs, allowing more diverse groups of people to cooperate in administrative systems while respecting their ways of life. + + + +### Administration today + + +     Many of the most consequential junctures of life turn on administrative outcomes based on informaiton structures (various kinds of "forms") that are much thinner than the way we conduct most of our lives. Examples include +* Identification and travel documents +* Educational transcripts, resumés and other summaries of "the course of a life" (curiuculum vitae/CV) +* Legal documents, including property deeds and contracts +* Tax fillings +* Structured performance evaluations +* Medical intake and evaluation forms +* Legal filings (though these usually include more detail and context than the above) + + +     These structured forms of information allow for "fair", "just" and "impartial" evaluation of potential allocations or choices that are too complex to have rules that are universally transparent, as markets and votes aim to. To achieve fairness, these systems often deliberately discard a range of information, as dramatically illustrated by the blindness of justice in various personified representations in the European tradition. As scholars since at least pioneering sociologist Max Weber have remarked, to achieve these twin goals harnessing richer information than votes or markets while maintaining fairness, administrative systems employ large "bureaucracies" and much digital processing to evaluate these structured data according to the rules and proceedures of the administrative system. + +     As a result, administrations run into to two opposite complains, which roughly correspond to the limits to the richeness of the collaboration they allow and the limts to their ability to span social diversity. + + +     The first might be called the problem of "rigidity", namely that bureaucratic rules, by throwing away a lot of detail, lead to outcomes that are insensitive to important features of specific cases or local circumstances. Examples range from the mundane to the oppressive and simply ridiculous; consider: +* Most jurisdictions have speed limits for driving cars to ensure safety. Yet the safe speed for driving varies dramatically with road, environmental and other related conditions. This means that speed limits are, most of the time, either too high or too low for the circumstances. Similar logic applies to almost all administrative policy settings, from the prices of goods to the break time allowed workers. +* To obtain most high-paying jobs, people from a diversity of cultures around the world have to fit their accomplishment and lives into the format of CVs and transcripts designed to make them legible to administrative bureaucracies and hiring managers, rather than to reflect their accomplishments accurately. +* In the late 1990s, a Dutch airliner ended up physically shredding hundreds of live squirrels that lacked appropriate paperwork for transiting Schipol airport. While a particularly grusome example, almost anyone who has flown is aware of the rigidity of the bureaucratic systems that administer air travel and will thus not be overly surprised by this outcome. + + +     Yet at the same time as they are rigid, "cold" and "heartless", an equally common and opposite complaint about bureaucracies is their "complexity": that they often are inscrutable, hard to navigate (see, for example, Franz Kafka's classic workd *The Castle*), full of red tape and give excessive discretin to apparently arbitrary bureaucrats. These problems are among the most infuriating features of bureaucracies and are a constant source of complaint by libertarians. In fact, to a large extent they have inspired many of the ideas about "distributed autonomous organizations" (DAOs) and "smart contracts" that are intended to escape excessive discretion, as well as leading to the high costs of the legal sector that are a constant source of complaint. And yet, clearly a key reason for such complexity is the need to handle the diversity and nuance of the cases they must administer. The leading reason, therefore, that bureaucracies become illegitimate as they try to span a broad range of social diversity is that, to accomodate this range, they have to become so complex. Increasingly, however, digital technologies are emerging that allow this trade-off to be navigated more elegantly and thus allow richer cooperation to legitimately span a broader range of diversity. + + + + + +### Administration tomorrow + + +     By far the most important suite of technologies in achieving that aspiration today have been those usually referred to as "artificial intelligence"(AI). However, as we have repeatedly noted, the term AI refers more to an aspiration than to a particular set of tools and in this case, the details of the tools involved are critical to what distinguishes the administrative bureaucracies of old from the potential opened up by the latest generation of what are sometimes called "generative foundation models" (GFMs). The AI work that dominated the field in the 1970s and 1980s, sometimes called "good old-fashioned AI" (GOFAI), was in many ways an attempt to automate traditional bureaucratic processing. Programmers, by talking to "experts", would attempt to encode administrative processes in complicated sets of nested rules (often called "decision trees"): Does the patient have a fever? If yes, are her eyes red; if not are her lymphnodes inflamed?... This style of AI ran into major obstacles and fell from favor during the 1990s and has since largely been replaced by "machine learning", especially neural networks and their most ambitious and recent outgrowth, GFMs. + +     In sharp contrast to GOFAI, machine learning is a statistical and emergent approach to classification, prediction and decisions. Rather than applying a top-down set of hard-coded rules, the system learns to classify based on examples, in a probabilistic manner and in ways that often have no simple explanation. In neural networks and especially GFMs, there are often billions or even trillions of "nodes" that receive input from each other, triggering and inputing to other nodes, all to predict an outcome such as the next word or image. Based on such processes, GFMs have shown remarkable and rapidly improving ability to realistically reproduce the type of flexible classification, reaction and reasoning humans are often capable of in a rapidly scalable and largely reproducable way. + +     Such successes have created the tantilizing prospect of GFMs ameliorating the fundamental tradeoff at the heart of administration. Harnessing GFMs as components in administrative processes could allow them to take a far more diverse and unstructured range of inputs, adapting to these in the manner that a thoughtful and knowledgable expert might, while doing so in a way that offers at least some degree of reproducibility with imposing undue burdens on users to "fill outspecialized forms". + +     Explorations of this possibility have emerged especially in the last two years as interest around GFMs has exploded: +* As we highlighted in our introductory vignette, these tools have shown significant promise in allowing marginalized communities access public services that they may otherwise struggle to discover and navigate. A primary role of social workers has long been to support such navigation, but public expenditures have typically been far too small to ensure anywhere close to universal access, especially in developing countries. Leaders in the developed world in such practices have been the Finnish government's Kela-Kelpo project, Germany's Federal Pension Insurance system and the Benefits Data Trust in the United States. +* A similar but even more ambitious application is harnessing GFMs to improve access to legal advice and services for those who cannot afford high quality traditional legal support. Examples include Legal Robot and DoNotPay, both of which aim to help customers with limited means reduce the imbalance in legal acccess with corporate entities that can afford high quality legal services. +* Job markets often fall into a "rich get richer" pattern as top employers often recruit exclusively from elite universities or use job experience at famous peer firms as a primary indicator of potential, foreclosing paths to opportunity for many who may have less conventional paths and, perhaps more importantly, forcing everyone interested in such opportunities down a narrow educational and career path. Several new human resources platforms (such as HiredScore, Paradox.ai, Turing and Untapped ) aim to expand the breadth and diversity of candidates who hiring managers can consider. A leading challenge, of course, is that the limited examples of hiring such diverse candidates in the past can undermine the reliability and flexibility of such algorithms. +* Many of the most environmentally and culturally rich regions of the earth are either poorly mapped or mapped in ways that impose the perpsective of colonial outsiders, rather than indigenous traditions more attentive to the environment and long-existing relationships among peoples. A variety of groups have harnessed digital mapping tools and increasingly GFMs to describe such traditional patterns of rights and assert them against colonial legal systems. These include Digital Democracy, the Rainforest Foundation US, the Australian Government's Indigenous Land and Sea Corporation and México's SERVIR Amazonia. + + +     As the last example especially suggets, a range of digital technologies not traditionally associated with "AI" are also relevant here, including mapping (global positiong and geographical information systems) as dramatically illustated in the collaborative mapping work of Ushahidi that has helped respond to disasters and conlfict and transparent data bases (including distributed legers) as illustrated in a range of cases where these are being used as substrates for refugee identities by organizations like ID2020 or for land registries in places like Honduras. Furthermore, the power of GFMs stems less from being "AI" than from their networked and probabilistic structure, which allows them to adapt to a greater diversity and ambiguity of inputs. Such structures can also exist in networks of human relationships, including more adaptive forms of bureaucracy, packet-switching based trust relationships etc. Such approaches are important, for example, in management of open source and wiki-style projects. + + + + +### Frontiers of administration + +     Whether grounded in networks of human minds, computer-simulated neurons or, most likely and effectively, and interweaving mesh of both, the potential for such systems could stretch well beyond these first experiments which largely aim to fit into existing rigid administrative structures and thus, in many cases, to reinforce their limitations. It is thus worth freeing our minds from some of these constraints to imagine building towards more transformative change. + +     One of the most promising directions was proposed by Danielle Allen, David Kidd and Ariana Zetlin. They suggest the gradual replacement of traditional course work and grades with a far more diverse range of "badges", starting with concrete recognition of specific measurable skills, which then help qualify holders for "mezzo badges" based on holding an appropriate combination of micro badges eventually laddering up to recognizable "macro badges" that can be used by potential employers or educational institutions. This process directly mirrors that which occurs within a neural network, where combinations of lower-level inputs trigger progressively higher-level and thus more meaningful outputs. Allen and her co-authors argue that such a system would be much more consistent with years of research in educational psychology which emphasizes the granular nature of skills and the poor fit of standard classroom practices to it and the fact that many students, especially historically marginalized and/or academically disinclined ones, often end up exluded from opportunity by such rigid structures. + +     Not only could GFMs and other neural networks be mirrored in the structure of such a sysytem, they might be directly useful to it in allowing employers to cope with the more complex CVs it would create, to help students navigate the more diverse learning pathways it would allow and to potentially directly instantiate and produce some of the relevant badges. Furthermore, digital technologies of publicity (including social networks, verifiable credentials and distributed ledgers) would likely be critical to achieving trust, credibility and transparency around such badges. Relatedly, but perhaps more broadly, many practices of identification and admission to credentialed spaces (clubs, schools, nations via migration etc.) could rely on a more distributed network of signals from a variety social relations as we discussed in our Identity and Personhood chapter if such a range of signals could be meaningfully processed by more adapative administrative infrastructure in the future. + +     Even more ambitiously, it might be possible to one day integrate far more diverse legal systems more fully into administrative practices. The arrival of modernity and colonialism around the world largely overrode a range of traditional practices that varied dramatically by geography and culture. Many of these practices persist informally but jar with formal legal structures imposed by often distant national governments. These include practices around gender and sexual relationships, obligations associated with gift giving, the resolution of familial conflict and obligations, land use and more. While in some cases there is growing consensus that the abolition of such traditions is appropriate (e.g. prohibitions on female genital marking), in many cases laws have "overwritten" traditional practices more out of convenience that conviction. Traditional practices make it difficult, for example, for someone from far away to understand how to acquire land or appropriately intermarry in a community. The sometimes enforced, sometimes cajoled homogenization of cultural practices has brought some benefits to intermixing and dynamism, but at a great cost to often ancient and diverse wisdom of cultures. + +     Just as GFMs are increasingly capable of providing low cost translation across a growing number of languages, it is just possible to imagine that equally rapid translation across cultural norms may become feasible, services in the past that have been provided only very imperfectly and at great expense by cultural anthropologists and ethnographers. Just as far cheaper and easier translation may allow a much wider range of languages to remain viable and attractive to new generations because of the external interoperability it would allow, far cheapter and easier translation of norms might make a much broad range of legal and property practices sustainable. This would reduce the constant burden of fitting into modernity imposed not just on colonized but also on a range of "traditional" communities within the developed world often in rural areas. It would also greatly enrich the diversity that remains as the fuel for social growth and progress, as next generations of GFMs learn from being stretched by these cultural differences to perform ever more flexibly. + +     Beyond the preservation of existing diversity, such a future could help support its further diversification and speciation. Many of the practices we have sketched in this book challenge the imaginations of even ambitious futurists. This has led those attracted by experiments with these kinds of ideas to propose "network states", "charter cities", "seasteads" and other forms of escape from existing legal jurisdictions that, obviously, run into a range of tensions with preserving broader public goods and social order. Yet such clean separation may not be necessary to support such experiments if they can easily be understood by and integrated into existing legal structures by machine translation. This may empower a diverse range of experimentation with combinations of novel and traditional practices, while maintaining cooperation across borad social difference, empowering the flourishing of ever expanding, infinite diversity in infinite combinations. + + + +### Limits of administration + +     There may be no technology today whose pitfalls and dangers are more discussed than GFMs and for good reason. Their opacity, mystique of autonomy that helps obscure the conditions of their creation, potential to inherit the biases of both their source data and creators and potential for misuse all pose significant dangers. + +     In the context of administrative applications, the manifestations of these flaws are easy to see. While GFMs may be less burdensome to interact with, they arguably further exacerbate the opacity of bureaucracy and may not much mitigate the problems of discrection and human bias given that it is often extremely challenging to map the biases of such systems or what clusters of human behaviors in the past shape their outputs today. Because such models overwhelmingly train on imitating existing data, measuring the data diversity that AI researchers value but strugle to define is crucial to ensuring the models are generally performant and able to cope with diversity in the way we imagine them doing. The terms of power on which such diversity is explored and incorporated into the models will shape how they offer opportunity for diversity or force conformity; many of the ethnographers of old became tools of colonial subjugation rather than voices of inclusive translation. Furthermore, abused by powerful interests, interoperability across legal regimes can easily slip into regulatory arbitrage, taking advantage of the gap between legal intent and formal rules. + +     Luckily, some of the technologies we highlight in other chapters of this section have the potential to at least partially address some of these harms. While GFMs logic is hopelessly opaque when we try to reduce it to the simplistic representations of mathematics, richer formats like immersive shared reality or post-symbolic communication may give access to deeper modes of connection and understanding that aid in the establishment of the trust in human communities that enables the use of richer discretion. Many of the methods of collective deliberation and decision-making we highlighted in the previous chapter and further explore in the next have natural applications to defining legitimate distributions of power that can directly shape the governance of GFMs, the distriubtion of the economic value they create and the ways they are collectively steered to behave in line with public wills. Grounded in the legitimacy such practices can provided and explored through richer interaction modes, these and other digital systems hold significant promise of overcoming the simultaneously cold and arbitrary nature of the world of systems that has been the price of modernity. + + + + + + + + + + + diff --git a/figs/farmer.jpg b/figs/farmer.jpg new file mode 100644 index 0000000000000000000000000000000000000000..da81527041c9b7b99e72ce4daf9c10d90ca6a474 GIT binary patch literal 57410 zcmbTdcT^Ky_%#}OM}Y((6zPy4NJ%JCqy5fKGMMZor|@8$R1yS}^D{p;R)X3bx7*38*6Yo2F6&)(<1h5uFoM^TPW zjsPAW9)REB0r>APz``Dju*JJ!PpMo8(j#9AzMv9osBfU6b0vlpc|pYqbw&k+L7Y*E zH8X&mP>H(YA5OX)uVSTQVj%k862KlHAtEX!Dl8!;Dkdo@aYRN1BqJ>?qphfXOhq4J zXrK?#J7IhZWo>NYXnI1=#>3Xp#TARg8d-b$dt>}i?pU|~xe1S?q@;|Lj1~x_d{R9B4FQe=06YSRQ2z(*|224c`S=9{g@g|meK?`> zD1euTkB^t1Pe6d5|8Vw=!|MQkDFJC!Lt8-^cYh(ZD4eoIF@lOIrs5g~3fs&CE~PJ0Kj-Ae~S+Jb~!p>E#_56dZCPlthlXd?og3Tzo>x z?bNh8=^2!Q!lL4myQO8++BzDYQO{(t+uA!iA9Qv1JRBGt8Xg%P8=sh&<<8B&Sa`Yk zX6^0zyN&lBHn(=a?(H9Z`~KtSum8ct1K|5VVf}Ap{|{VJhq!q8`T6*T{s$Ki@72ST zPl{ha)lg8{)?LUyN=D5nNf>CCU(?zzqHc`+0t$$p7M0b2z0utLA87vz+5bCW$^XBQ z{cm9ZH?Bp1I3Lg9$K#U%oCZ7tb}Unb;4=ZIDjrh_c5bL5hnShX8CmEPfCa)MO?}fF zgXm)w!YId&Zem*$Lce~2&|7pBsGj$YDD^7x4FwMngvgFr)qMVM4N{k&2Be9BGE+U> zDA#3Zca-C=wA<@$PpD_-csr4dLffbxG_@jShzL+EuUL(#RwqPlNep0iz^X@4_fJ?} zZm7nd%EFYcFwPgZd!&ALaEY*|R=a*~bsFf>oXF-W;%R#R8>UB|72 zxI(3^#OqhHF>cxvwgN~c3K!5bfNE0VxNxXhYb*JF_CcIIO5H0 zDsHnfv*DP!73ADkxg4dR`@qS}u!T2&o+{jX5!dKbe#6D?>tuw%qS2)u&SmUC zS7S!>$(1loInC~I>)JLA>XwJZ##p19+^t>q5o`9Q6Ep$%U>R- zd&C@U-&Ki2XiVf6a=>Iwvt@;Kd@gXG-tk=kyeBpzh!yTyslW_C0BUCRE_3N z89=+2*nF8l6(*Oxx;OGb{ZaOmY`9|d5%OK>!V_SB*r)2FG44ILh%wP^)=+%$G47_!MiO*0W(mI=H@+Fuu0$^Y0 zDp+(9mP*PxJ5u`e2I@Fq>|*?)ipQbNiN9@c`$_nAB2nK6!` zEixCs(>*pCKGBJ_gL*=1cj2PkVw0n*qz`1pnKZhewgx_gdM=ymDFAGm$-{*5WRc1? 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