Nobody is ready for GDPR

    As a small business owner and co-op founder, GDPR applies to me as much as everyone else. It’s a massive ballache, but I support the philosophy behind what it’s trying to achieve.

    After four years of deliberation, the General Data Protection Regulation (GDPR) was officially adopted by the European Union in 2016. The regulation gave companies a two-year runway to get compliant, which is theoretically plenty of time to get shipshape. The reality is messier. Like term papers and tax returns, there are people who get it done early, and then there’s the rest of us.

    I'm definitely in "the rest of us" camp, meaning that, over the last week or so, my wife and I have spent time figuring stuff out. The main thing is getting things in order so that  you've got a process in place. Different things are going to affect different organisations, well, differently.

    But perhaps the GDPR requirement that has everyone tearing their hair out the most is the data subject access request. EU residents have the right to request access to review personal information gathered by companies. Those users — called “data subjects” in GDPR parlance — can ask for their information to be deleted, to be corrected if it’s incorrect, and even get delivered to them in a portable form. But that data might be on five different servers and in god knows how many formats. (This is assuming the company even knows that the data exists in the first place.) A big part of becoming GDPR compliant is setting up internal infrastructures so that these requests can be responded to.

    A data subject access request isn't going to affect our size of business very much. If someone does make a request, we've got a list of places from which to manually export the data. That's obviously not a viable option for larger enterprises, who need to automate.

    To be fair, GDPR as a whole is a bit complicated. Alison Cool, a professor of anthropology and information science at the University of Colorado, Boulder, writes in The New York Times that the law is “staggeringly complex” and practically incomprehensible to the people who are trying to comply with it. Scientists and data managers she spoke to “doubted that absolute compliance was even possible.”

    To my mind, GDPR is like an much more far-reaching version of the Freedom of Information Act that came into force in the year 2000. That changed the nature of what citizens could expect from public bodies. I hope that the GDPR similarly changes what we all can expect from organisations who process our personal data.

    Source: The Verge

    Measuring ability and greatness

    “Ability and greatness must be measured by virtue, not by good fortune.” (Baltasar Gracián)

    Estonia goes for free public transport

    Estonia is pretty much already the home of free public wifi, so this is a logical next step. The council of the capital city, Tallinn, provided free public transport to citizens for the last five years after a referdendum. Now the idea is to extend that to everyone — including tourists.

    This article mainly comprises of an interview with Allan Alaküla, the Head of Tallinn European Union Office. He makes a couple of important points:

     A good thing is, of course, that it mostly appeals to people with lower to medium incomes. But free public transport also stimulates the mobility of higher-income groups. They are simply going out more often for entertainment, to restaurants, bars and cinemas. Therefore they consume local goods and services and are likely to spend more money, more often. In the end this makes local businesses thrive. It breathes new life into the city.
    In other words, allowing people to move around the city without thinking about the cost encourages people to do so. This has economic and social benefits.
    Before introducing free public transport, the city center was crammed with cars. This situation has improved — also because we raised parking fees. When non-Tallinners leave their cars in a park-and-ride and check in to public transport on the same day, they [not] only use public transport for free, but also won’t be charged the parking fee. We noticed that people didn’t complain about high parking fees once we offered them a good alternative.
    This is great, joined-up thinking: make it really easy for visitors to the city to do the right thing. Estonia really is at the forefront of citizen and pro-social innovation, as anyone familiar with their e-Residency scheme will be aware.

    Source: Pop-Up City

    The toughest smartphones on the market

    I found this interesting:

    To help you avoid finding out the horrifying truth when your phone goes clattering to the ground, we tested all of the major smartphones by dropping them over the course of four rounds from 4 feet and 6 feet onto wood and concrete — and even into a toilet — to see which handset is the toughest.
    The results?
    While the result wasn't completely unexpected — after all, the phone has a ShatterShield display, which the company guarantees against cracks — the Moto Z2 Force survived drops from 6 feet onto concrete, with barely a scratch.

    Apple’s least-expensive phone didn’t prove very tough at all. In fact, the $399 iPhone SE was rendered unusable before all of the others. However, this was not a big surprise, as the newer iPhone 8 and iPhone X are made with much stronger glass than the iPhone SE’s from 2016.

    Summary:

    • Motorola Moto Z2 Force - Toughness score: 8.5/10
    • LG X Venture - Toughness score: 6.6/10
    • Apple iPhone X - Toughness score: 6.2/10
    • LG V30 - Toughness score: 6/10
    • Samsung Galaxy S9 - Toughness score: 6/10
    • Motorola Moto G5 Plus - Toughness score: 5.1/10
    • Apple iPhone 8 - Toughness score: 4.9/10
    • Samsung Galaxy Note 8 - Toughness score: 4.3/10
    • OnePlus 5T - Toughness score: 4.3/10
    • Huawei Mate 10 Pro - Toughness score: 4.3/10
    • Google Pixel 2 XL - Toughness score: 4.3/10
    • iPhone SE - Toughness score: 3.9/10
    Source: Tom's Guide

    The increase in worker-owned co-ops

    This article by Eillie Anzilotti is a Fast Company ‘long read’. It’s US-focused and includes specific examples and case studies, but is, I think, more widely-applicable.

    Anzilotti explains some of the benefits of worker-owned co-ops, which are increasing in number as the ‘baby boomer’ generation retires.

    Because the people doing the work for the company are also the ones who own the company, they feel a greater sense of responsibility for and personal stake in helping the business succeed. While there’s still a lot of knowledge-sharing that needs to happen before co-ops go mainstream, recently, policymakers are taking notice of the benefits of worker cooperatives, and new legislation is on the way support their growth. And with millions of baby boomer-owned businesses set to change hands in the upcoming decades, this transition could be an opportunity to create more democratic workplaces across the country–if business owners, workers, and advocates can work together to convert these enterprises into employee-owned cooperatives.
    Hilariously, Anzilotti calls the retirement of the boomer generation a 'silver tsunami' which, more seriously, provides a huge opportunity to wrest back control from organisations that exist for the benefit of the few.
    But instead of selling to a private owner, there’s a real opportunity amid this “silver tsunami” to radically scale the presence of worker-owned cooperatives in the U.S. “Historically, co-ops do best when there’s a market failure,” says Melissa Hoover, founding executive director of DAWI. During the Great Depression, for instance, farmers struggling to access energy resources, set up electrical cooperatives that they collectively owned, and cooperative housing models took off in some cities. Nearly a century later, we’re living through our own version of market failure. As banks have consolidated, capital for small businesses has grown scarce. More small businesses are now closing than opening in the U.S., and jobs are consistently failing to provide livable wages to employees.
    Small businesses are vital in the economy, but to really make a change, we need larger, stronger businesses. Worker-owned co-ops can do that.
    Employee-owned cooperatives... create a stronger base from which a business can continue to exist, and even grow. The workers already have demonstrated their commitment to the company and the community in which it operates, and granting them ownership allows the business to continue to operate and the community to continue to reap the benefits. And because the sales are done in a way that’s transparent and mutually beneficial, the selling business owners also get a fairer shake.
    The difficulty, as Anzilotti notes, is that talking about democratic control of the organisation for which you work isn't necessarily the most scintillating topic of conversation.
    “Co-ops are not whiz-bang businesses that are going to get anybody rich,” Hoover says. “They’re bread and butter types–necessary and profitable, but not sexy.” Still, communities and policymakers alike are recognizing that their shared ownership structure can provide the kind of stability that the market cannot. “We’ve seen growing interest in rapidly changing cities and in rural areas where they’re really trying to make capital investments that anchor community wealth,” Hoover says. “Business retention makes more sense than trying to attract Amazon HQ2,” she adds. “Why don’t we invest in our local ecosystem and retain what’s already here?”
    I have to say that the process of setting up We Are Open Co-op has been one of the most eye-opening experiences of my life. I'd highly recommend looking into the co-operatives for your organisation, whether extant or nascent.

    Source: Fast Company  

    The increase in worker-owned co-ops

    This article by Eillie Anzilotti is a Fast Company ‘long read’. It’s US-focused and includes specific examples and case studies, but is, I think, more widely-applicable.

    Anzilotti explains some of the benefits of worker-owned co-ops, which are increasing in number as the ‘baby boomer’ generation retires.

    Because the people doing the work for the company are also the ones who own the company, they feel a greater sense of responsibility for and personal stake in helping the business succeed. While there’s still a lot of knowledge-sharing that needs to happen before co-ops go mainstream, recently, policymakers are taking notice of the benefits of worker cooperatives, and new legislation is on the way support their growth. And with millions of baby boomer-owned businesses set to change hands in the upcoming decades, this transition could be an opportunity to create more democratic workplaces across the country–if business owners, workers, and advocates can work together to convert these enterprises into employee-owned cooperatives.
    Hilariously, Anzilotti calls the retirement of the boomer generation a 'silver tsunami' which, more seriously, provides a huge opportunity to wrest back control from organisations that exist for the benefit of the few.
    But instead of selling to a private owner, there’s a real opportunity amid this “silver tsunami” to radically scale the presence of worker-owned cooperatives in the U.S. “Historically, co-ops do best when there’s a market failure,” says Melissa Hoover, founding executive director of DAWI. During the Great Depression, for instance, farmers struggling to access energy resources, set up electrical cooperatives that they collectively owned, and cooperative housing models took off in some cities. Nearly a century later, we’re living through our own version of market failure. As banks have consolidated, capital for small businesses has grown scarce. More small businesses are now closing than opening in the U.S., and jobs are consistently failing to provide livable wages to employees.
    Small businesses are vital in the economy, but to really make a change, we need larger, stronger businesses. Worker-owned co-ops can do that.
    Employee-owned cooperatives... create a stronger base from which a business can continue to exist, and even grow. The workers already have demonstrated their commitment to the company and the community in which it operates, and granting them ownership allows the business to continue to operate and the community to continue to reap the benefits. And because the sales are done in a way that’s transparent and mutually beneficial, the selling business owners also get a fairer shake.
    The difficulty, as Anzilotti notes, is that talking about democratic control of the organisation for which you work isn't necessarily the most scintillating topic of conversation.
    “Co-ops are not whiz-bang businesses that are going to get anybody rich,” Hoover says. “They’re bread and butter types–necessary and profitable, but not sexy.” Still, communities and policymakers alike are recognizing that their shared ownership structure can provide the kind of stability that the market cannot. “We’ve seen growing interest in rapidly changing cities and in rural areas where they’re really trying to make capital investments that anchor community wealth,” Hoover says. “Business retention makes more sense than trying to attract Amazon HQ2,” she adds. “Why don’t we invest in our local ecosystem and retain what’s already here?”
    I have to say that the process of setting up We Are Open Co-op has been one of the most eye-opening experiences of my life. I'd highly recommend looking into the co-operatives for your organisation, whether extant or nascent.

    Source: Fast Company  

    Issue #304: Grateful Dead Public Radio

    The latest issue of the newsletter hit inboxes earlier today!

    💥 Read

    🔗 Subscribe

    The New Octopus: going beyond managerial interventions for internet giants

    This article in Logic magazine was brought to my attention by a recent issue of Ian O’Byrne’s excellent TL;DR newsletter. It’s a long read, focusing on the structural power of internet giants such as Amazon, Facebook, and Google.

    The author, K. Sabeel Rahman, is an assistant professor of law at Brooklyn Law School and a fellow at the Roosevelt Institute. He uses historical analogues to make his points, while noting how different the current state of affairs is from a century ago.

    As in the Progressive Era, technological revolutions have radically transformed our social, economic, and political life. Technology platforms, big data, AI—these are the modern infrastructures for today’s economy. And yet the question of what to do about technology is fraught, for these technological systems paradoxically evoke both bigness and diffusion: firms like Amazon and Alphabet and Apple are dominant, yet the internet and big data and AI are technologies that are by their very nature diffuse.

    The problem, however, is not bigness per se. Even for Brandeisians, the central concern was power: the ability to arbitrarily influence the decisions and opportunities available to others. Such unchecked power represented a threat to liberty. Therefore, just as the power of the state had to be tamed through institutional checks and balances, so too did this private power have to be contested—controlled, held to account.

    This emphasis on power and contestation, rather than literal bigness, helps clarify the ways in which technology’s particular relationship to scale poses a challenge to ideals of democracy, liberty, equality—and what to do about it.

    I think this is the thing that concerns me most. Just as the banks were ‘too big to fail’ during the economic crisis and had to be bailed out by the taxpayer, so huge technology companies are increasingly playing that kind of role elsewhere in our society.

    The problem of scale, then, has always been a problem of power and contestability. In both our political and our economic life, arbitrary power is a threat to liberty. The remedy is the institutionalization of checks and balances. But where political checks and balances take a common set of forms—elections, the separation of powers—checks and balances for private corporate power have proven trickier to implement.

    These various mechanisms—regulatory oversight, antitrust laws, corporate governance, and the countervailing power of organized labor— together helped create a relatively tame, and economically dynamic, twentieth-century economy. But today, as technology creates new kinds of power and new kinds of scale, new variations on these strategies may be needed.

    “Arbitrary power is a threat to liberty.” Absolutely, no matter whether the company holding that power has been problematic in the past, has a slogan promising not to do anything wrong, or is well-liked by the public.

    We need more than regulatory oversight of such organisations because of how insidious their power can be — much like the image of Luks' octopus that accompanies this and the original post.

    Rahman explains three types of power held by large internet companies:

    First, there is transmission power. This is the ability of a firm to control the flow of data or goods. Take Amazon: as a shipping and logistics infrastructure, it can be seen as directly analogous to the railroads of the nineteenth century, which enjoyed monopolized mastery over the circulation of people, information, and commodities. Amazon provides the literal conduits for commerce.

    […]

    A second type of power arises from what we might think of as a gatekeeping power. Here, the issue is not necessarily that the firm controls the entire infrastructure of transmission, but rather that the firm controls the gateway to an otherwise decentralized and diffuse landscape.

    This is one way to understand the Facebook News Feed, or Google Search. Google Search does not literally own and control the entire internet. But it is increasingly true that for most users, access to the internet is mediated through the gateway of Google Search or YouTube’s suggested videos. By controlling the point of entry, Google exercises outsized influence on the kinds of information and commerce that users can ultimately access—a form of control without complete ownership.

    […]

    A third kind of power is scoring power, exercised by ratings systems, indices, and ranking databases. Increasingly, many business and public policy decisions are based on big data-enabled scoring systems. Thus employers will screen potential applicants for the likelihood that they may quit, be a problematic employee, or participate in criminal activity. Or judges will use predictive risk assessments to inform sentencing and bail decisions.

    These scoring systems may seem objective and neutral, but they are built on data and analytics that bake into them existing patterns of racial, gender, and economic bias.

    […]

    Each of these forms of power is infrastructural. Their impact grows as more and more goods and services are built atop a particular platform. They are also more subtle than explicit control: each of these types of power enable a firm to exercise tremendous influence over what might otherwise look like a decentralized and diffused system.

    As I quote Adam Greenfield as saying in Microcast #021 (supporters only!) this infrastructural power is less obvious because of the immateriality of the world controlled by internet giants. We need more than managerial approaches to solving the problems faced by their power.

    A more radical response, then, would be to impose structural restraints: limits on the structure of technology firms, their powers, and their business models, to forestall the dynamics that lead to the most troubling forms of infrastructural power in the first place.

    One solution would be to convert some of these infrastructures into “public options”—publicly managed alternatives to private provision. Run by the state, these public versions could operate on equitable, inclusive, and nondiscriminatory principles. Public provision of these infrastructures would subject them to legal requirements for equal service and due process. Furthermore, supplying a public option would put competitive pressures on private providers.

    […]

    We can also introduce structural limits on technologies with the goal of precluding dangerous concentrations of power. While much of the debate over big data and privacy has tended to emphasize the concerns of individuals, we might view a robust privacy regime as a kind of structural limit: if firms are precluded from collecting or using certain types of data, that limits the kinds of power they can exercise.

    Some of this is already happening, thankfully, through structural limitations such as GDPR. I hope this is the first step in a more coordinated response to internet giants who increasingly have more impact on the day-to-day lives of citizens than their governments.

    Moving fast and breaking things is inevitable in moments of change. The issue is which things we are willing to break—and how broken we are willing to let them become. Moving fast may not be worth it if it means breaking the things upon which democracy depends.
    It's a difficult balance. However, just as GDPR has put in place mechanisms to prevent the over-reaching of governments and of companies, I think we could think differently about perhaps organisations with non-profit status and community ownership that could provide some of the infrastructure being built by shareholder-owned organisations.

    Having just finished reading Utopia for Realists, I definitely think the left needs to think bigger than it’s currently doing, and really push that Overton window.

    Source: Logic magazine (via Ian O’Byrne)

    The New Octopus: going beyond managerial interventions for internet giants

    This article in Logic magazine was brought to my attention by a recent issue of Ian O’Byrne’s excellent TL;DR newsletter. It’s a long read, focusing on the structural power of internet giants such as Amazon, Facebook, and Google.

    The author, K. Sabeel Rahman, is an assistant professor of law at Brooklyn Law School and a fellow at the Roosevelt Institute. He uses historical analogues to make his points, while noting how different the current state of affairs is from a century ago.

    As in the Progressive Era, technological revolutions have radically transformed our social, economic, and political life. Technology platforms, big data, AI—these are the modern infrastructures for today’s economy. And yet the question of what to do about technology is fraught, for these technological systems paradoxically evoke both bigness and diffusion: firms like Amazon and Alphabet and Apple are dominant, yet the internet and big data and AI are technologies that are by their very nature diffuse.

    The problem, however, is not bigness per se. Even for Brandeisians, the central concern was power: the ability to arbitrarily influence the decisions and opportunities available to others. Such unchecked power represented a threat to liberty. Therefore, just as the power of the state had to be tamed through institutional checks and balances, so too did this private power have to be contested—controlled, held to account.

    This emphasis on power and contestation, rather than literal bigness, helps clarify the ways in which technology’s particular relationship to scale poses a challenge to ideals of democracy, liberty, equality—and what to do about it.

    I think this is the thing that concerns me most. Just as the banks were ‘too big to fail’ during the economic crisis and had to be bailed out by the taxpayer, so huge technology companies are increasingly playing that kind of role elsewhere in our society.

    The problem of scale, then, has always been a problem of power and contestability. In both our political and our economic life, arbitrary power is a threat to liberty. The remedy is the institutionalization of checks and balances. But where political checks and balances take a common set of forms—elections, the separation of powers—checks and balances for private corporate power have proven trickier to implement.

    These various mechanisms—regulatory oversight, antitrust laws, corporate governance, and the countervailing power of organized labor— together helped create a relatively tame, and economically dynamic, twentieth-century economy. But today, as technology creates new kinds of power and new kinds of scale, new variations on these strategies may be needed.

    “Arbitrary power is a threat to liberty.” Absolutely, no matter whether the company holding that power has been problematic in the past, has a slogan promising not to do anything wrong, or is well-liked by the public.

    We need more than regulatory oversight of such organisations because of how insidious their power can be — much like the image of Luks' octopus that accompanies this and the original post.

    Rahman explains three types of power held by large internet companies:

    First, there is transmission power. This is the ability of a firm to control the flow of data or goods. Take Amazon: as a shipping and logistics infrastructure, it can be seen as directly analogous to the railroads of the nineteenth century, which enjoyed monopolized mastery over the circulation of people, information, and commodities. Amazon provides the literal conduits for commerce.

    […]

    A second type of power arises from what we might think of as a gatekeeping power. Here, the issue is not necessarily that the firm controls the entire infrastructure of transmission, but rather that the firm controls the gateway to an otherwise decentralized and diffuse landscape.

    This is one way to understand the Facebook News Feed, or Google Search. Google Search does not literally own and control the entire internet. But it is increasingly true that for most users, access to the internet is mediated through the gateway of Google Search or YouTube’s suggested videos. By controlling the point of entry, Google exercises outsized influence on the kinds of information and commerce that users can ultimately access—a form of control without complete ownership.

    […]

    A third kind of power is scoring power, exercised by ratings systems, indices, and ranking databases. Increasingly, many business and public policy decisions are based on big data-enabled scoring systems. Thus employers will screen potential applicants for the likelihood that they may quit, be a problematic employee, or participate in criminal activity. Or judges will use predictive risk assessments to inform sentencing and bail decisions.

    These scoring systems may seem objective and neutral, but they are built on data and analytics that bake into them existing patterns of racial, gender, and economic bias.

    […]

    Each of these forms of power is infrastructural. Their impact grows as more and more goods and services are built atop a particular platform. They are also more subtle than explicit control: each of these types of power enable a firm to exercise tremendous influence over what might otherwise look like a decentralized and diffused system.

    As I quote Adam Greenfield as saying in Microcast #021 (supporters only!) this infrastructural power is less obvious because of the immateriality of the world controlled by internet giants. We need more than managerial approaches to solving the problems faced by their power.

    A more radical response, then, would be to impose structural restraints: limits on the structure of technology firms, their powers, and their business models, to forestall the dynamics that lead to the most troubling forms of infrastructural power in the first place.

    One solution would be to convert some of these infrastructures into “public options”—publicly managed alternatives to private provision. Run by the state, these public versions could operate on equitable, inclusive, and nondiscriminatory principles. Public provision of these infrastructures would subject them to legal requirements for equal service and due process. Furthermore, supplying a public option would put competitive pressures on private providers.

    […]

    We can also introduce structural limits on technologies with the goal of precluding dangerous concentrations of power. While much of the debate over big data and privacy has tended to emphasize the concerns of individuals, we might view a robust privacy regime as a kind of structural limit: if firms are precluded from collecting or using certain types of data, that limits the kinds of power they can exercise.

    Some of this is already happening, thankfully, through structural limitations such as GDPR. I hope this is the first step in a more coordinated response to internet giants who increasingly have more impact on the day-to-day lives of citizens than their governments.

    Moving fast and breaking things is inevitable in moments of change. The issue is which things we are willing to break—and how broken we are willing to let them become. Moving fast may not be worth it if it means breaking the things upon which democracy depends.
    It's a difficult balance. However, just as GDPR has put in place mechanisms to prevent the over-reaching of governments and of companies, I think we could think differently about perhaps organisations with non-profit status and community ownership that could provide some of the infrastructure being built by shareholder-owned organisations.

    Having just finished reading Utopia for Realists, I definitely think the left needs to think bigger than it’s currently doing, and really push that Overton window.

    Source: Logic magazine (via Ian O’Byrne)

    Schedule your priorities

    “The key is not to prioritize what’s on your schedule, but to schedule your priorities.”

    (Stephen Covey)

    Owners need to invest in employees to have them feel invested in their work

    Jim Whitehurst, CEO of Red Hat, writes:

    As the nature of work changes, the factors keeping people invested in and motivated by that work are changing, too. What's clear is that our conventional strategies for cultivating engagement may no longer work. We need to rethink our approach.
    I think it's great that forward-thinking organisations are trying to find ways to make work more fulfilling, and be part of a more holistic approach to life.
    Current research suggests that extrinsic rewards (like bonuses or promotions) are great at motivating people to perform routine tasks—but are actually counterproductive when we use them to motivate creative problem-solving or innovation. That means that the value of intrinsic motivation is rising, which is why cultivating employee engagement is such an important topic right now.

    Don’t get me wrong: I’m not suggesting that people no longer want to be paid for their work. But a paycheck alone is no longer enough to maintain engagement. As work becomes more difficult to specify and observe, managers have to ensure excellent performance via methods other than prescription, observation, and inspection. Micromanaging complex work is impossible.

    Whitehurst suggests that there are three things organisations can do. I’d support all of these:

    1. Connect to a mission and purpose
    2. Reconsider your view of failure
    3. Cultivate a sense of ownership
    However, what I think is startlingly missing from almost every vision from people 40+ is that they should be thinking about actual employee ownership — not just cultivating a 'sense' of it.

    Don’t get me wrong, forming a co-op doesn’t automatically guarantee worker satisfaction, but it’s a whole lot more motivating when you know you’re not just working to make someone else rich.

    Source: opensource.com

    Owners need to invest in employees to have them feel invested in their work

    Jim Whitehurst, CEO of Red Hat, writes:

    As the nature of work changes, the factors keeping people invested in and motivated by that work are changing, too. What's clear is that our conventional strategies for cultivating engagement may no longer work. We need to rethink our approach.
    I think it's great that forward-thinking organisations are trying to find ways to make work more fulfilling, and be part of a more holistic approach to life.
    Current research suggests that extrinsic rewards (like bonuses or promotions) are great at motivating people to perform routine tasks—but are actually counterproductive when we use them to motivate creative problem-solving or innovation. That means that the value of intrinsic motivation is rising, which is why cultivating employee engagement is such an important topic right now.

    Don’t get me wrong: I’m not suggesting that people no longer want to be paid for their work. But a paycheck alone is no longer enough to maintain engagement. As work becomes more difficult to specify and observe, managers have to ensure excellent performance via methods other than prescription, observation, and inspection. Micromanaging complex work is impossible.

    Whitehurst suggests that there are three things organisations can do. I’d support all of these:

    1. Connect to a mission and purpose
    2. Reconsider your view of failure
    3. Cultivate a sense of ownership
    However, what I think is startlingly missing from almost every vision from people 40+ is that they should be thinking about actual employee ownership — not just cultivating a 'sense' of it.

    Don’t get me wrong, forming a co-op doesn’t automatically guarantee worker satisfaction, but it’s a whole lot more motivating when you know you’re not just working to make someone else rich.

    Source: opensource.com

    On blogging

    Jim Groom nails it on blogging:

    [M]ost folks treat their blog as if it were some kind of glossy headshot of their thinking, whereas the beauty and freedom of blogging was that it was by design a networked tool. Blogging provides a space to develop an online voice, connect with a particular network, and build a sense of identity online in conjunction with others working through a similar process. Scale in many ways became a distraction, one which was magnified to such a degree by the hype around MOOCs in edtech that anything less that 10s of thousands of “users,” “learners,” “participants,” followers,” etc. was tacitly considered somehow less than optimal for effective online learning. It was, and remains, a symptom of the capital-driven ethos of Silicon Valley that places all value on scale and numbers which is rooted in monetization—a reality that has infected edtech and helped to undermine the value and importance of forging an independent voice and intimate connections through what should be an independent media of expression. When scale is the endgame the whole process becomes bogged down in page views, followers, and likes rather than the freedom to explore and experiment with your ideas online. It’s a uniquely web-based version of Hell where the dominant form of communication online is a Medium think piece written by your friendly neighborhood thought leader.
    You could accuse Thought Shrapnel of being glossy, but it's just a shiny version of what's in my head.

    Source: bavatuesdays

    On blogging

    Jim Groom nails it on blogging:

    [M]ost folks treat their blog as if it were some kind of glossy headshot of their thinking, whereas the beauty and freedom of blogging was that it was by design a networked tool. Blogging provides a space to develop an online voice, connect with a particular network, and build a sense of identity online in conjunction with others working through a similar process. Scale in many ways became a distraction, one which was magnified to such a degree by the hype around MOOCs in edtech that anything less that 10s of thousands of “users,” “learners,” “participants,” followers,” etc. was tacitly considered somehow less than optimal for effective online learning. It was, and remains, a symptom of the capital-driven ethos of Silicon Valley that places all value on scale and numbers which is rooted in monetization—a reality that has infected edtech and helped to undermine the value and importance of forging an independent voice and intimate connections through what should be an independent media of expression. When scale is the endgame the whole process becomes bogged down in page views, followers, and likes rather than the freedom to explore and experiment with your ideas online. It’s a uniquely web-based version of Hell where the dominant form of communication online is a Medium think piece written by your friendly neighborhood thought leader.
    You could accuse Thought Shrapnel of being glossy, but it's just a shiny version of what's in my head.

    Source: bavatuesdays

    Peace of mind

    “For every minute you remain angry, you give up sixty seconds of peace of mind.”

    (Ralph Waldo Emerson)

    The disappearing computer and the future of AI

    I was at the Thinking Digital conference yesterday, which is always an inspiring event. It kicked off with a presentation from a representative of Amazon’s Alexa programme, who cited an article by Walt Mossberg from this time last year. I’m pretty sure I read about it, but didn’t necessarily write about it, at the time.

    Mossberg talks about how computing will increasingly become invisible:

    Let me start by revising the oft-quoted first line of my first Personal Technology column in the Journal on October 17th, 1991: “Personal computers are just too hard to use, and it’s not your fault.” It was true then, and for many, many years thereafter. Not only were the interfaces confusing, but most tech products demanded frequent tweaking and fixing of a type that required more technical skill than most people had, or cared to acquire. The whole field was new, and engineers weren’t designing products for normal people who had other talents and interests.

    Things are different now, of course. We expect even small children to be able to use things like iPads with minimal help.

    When the internet first arrived, it was a discrete activity you performed on a discrete hunk of metal and plastic called a PC, using a discrete software program called a browser. Even now, though the net is like the electrical grid, powering many things, you still use a discrete device — a smartphone, say — to access it. Sure, you can summon some internet smarts through an Echo, but there’s still a device there, and you still have to know the magic words to say. We are a long way from the invisible, omnipresent computer in Starship Enterprise.

    The Amazon representative on-stage at the conference obviously believes that voice is the next frontier in computing. That's his job. Nevertheless, he marshalled some pretty compelling, if anecdotal, evidence for that. A couple of videos showed older people, who had been completely bypassed by the smartphone revolution, interacting naturally with Alexa.

    I expect that one end result of all this work will be that the technology, the computer inside all these things, will fade into the background. In some cases, it may entirely disappear, waiting to be activated by a voice command, a person entering the room, a change in blood chemistry, a shift in temperature, a motion. Maybe even just a thought.

    In the same way that the front end of a website like Facebook, the user interface, is the tip of the iceberg, so voice assistants are the front end for artificial intelligence. Who gets to the process data harvested by these devices, and for what purposes, is an important issue — both now and in the future.

    And, if ambient technology is to become as integrated into our lives as previous technological revolutions like wood joists, steel beams, and engine blocks, we need to subject it to the digital equivalent of enforceable building codes and auto safety standards. Nothing less will do. And health? The current medical device standards will have to be even tougher, while still allowing for innovation.

    This was the last article Mossberg wrote anywhere, having been a tech journalist since 1991. In signing off, he became a little wistful about the age of gadgetry we're leaving behind, but it's hopefully for the wider good.

    We’ve all had a hell of a ride for the last few decades, no matter when you got on the roller coaster. It’s been exciting, enriching, and transformative. But it’s also been about objects and processes. Soon, after a brief slowdown, the roller coaster will be accelerating faster than ever, only this time it’ll be about actual experiences, with much less emphasis on the way those experiences get made.

    This is an important touchstone article, and one I'll be returning to in future, no doubt.

    Source: The Verge

    Trust and the cult of your PLN

    This is a long article with a philosophical take on one of my favourite subjects: social networks and the flow of information. The author, C Thi Nguyen, is an assistant professor of philosophy at Utah Valley University and distinguishes between two things that he things have been conflated:

    Let’s call them echo chambers and epistemic bubbles. Both are social structures that systematically exclude sources of information. Both exaggerate their members’ confidence in their beliefs. But they work in entirely different ways, and they require very different modes of intervention. An epistemic bubble is when you don’t hear people from the other side. An echo chamber is what happens when you don’t trust people from the other side.
    Teasing things apart a bit, Nguyen gives some definitions:
    Current usage has blurred this crucial distinction, so let me introduce a somewhat artificial taxonomy. An ‘epistemic bubble’ is an informational network from which relevant voices have been excluded by omission.

    […]

    An ‘echo chamber’ is a social structure from which other relevant voices have been actively discredited.

    […]

    In epistemic bubbles, other voices are not heard; in echo chambers, other voices are actively undermined. The way to break an echo chamber is not to wave “the facts” in the faces of its members. It is to attack the echo chamber at its root and repair that broken trust.

    It feels like towards the end of my decade as an active user of Twitter there was a definite shift from it being an ‘epistemic bubble’ towards being an ‘echo chamber’. My ‘Personal Learning Network’ (or ‘PLN’) seemed to be a bit more militant in its beliefs.

    Nguyen goes on to talk at length about fake news, sociological theories, and Cartesian epistemology. Where he ends up, however, is where I would: trust.

    As Elijah Millgram argues in The Great Endarkenment (2015), modern knowledge depends on trusting long chains of experts. And no single person is in the position to check up on the reliability of every member of that chain. Ask yourself: could you tell a good statistician from an incompetent one? A good biologist from a bad one? A good nuclear engineer, or radiologist, or macro-economist, from a bad one? Any particular reader might, of course, be able to answer positively to one or two such questions, but nobody can really assess such a long chain for herself. Instead, we depend on a vastly complicated social structure of trust. We must trust each other, but, as the philosopher Annette Baier says, that trust makes us vulnerable. Echo chambers operate as a kind of social parasite on that vulnerability, taking advantage of our epistemic condition and social dependency.
    That puts us a double-bind. We need to make ourselves vulnerable in order to participate in a society built on trust, but that very vulnerability puts us at danger of being manipulated.

    I see this in fanatical evangelism of blockchain solutions to the ‘problem’ of operating in a trustless environment. To my mind, we need to be trusting people more, not less. Of course, there are obvious exceptions, but breaches of trust are near the top of the list of things we should punish most in a society.

    Is there anything we can do, then, to help an echo-chamber member to reboot? We’ve already discovered that direct assault tactics – bombarding the echo-chamber member with ‘evidence’ – won’t work. Echo-chamber members are not only protected from such attacks, but their belief systems will judo such attacks into further reinforcement of the echo chamber’s worldview. Instead, we need to attack the root, the systems of discredit themselves, and restore trust in some outside voices.
    So the way forward is for people to develop empathy and to show trust. Not present people with evidence that they're wrong. That's never worked in the past, and it won't work now. Our problem isn't a deficit in access to information, it's a deficit in trust.

    Source: Aeon (via Ian O’Byrne)

    Trust and the cult of your PLN

    This is a long article with a philosophical take on one of my favourite subjects: social networks and the flow of information. The author, C Thi Nguyen, is an assistant professor of philosophy at Utah Valley University and distinguishes between two things that he things have been conflated:

    Let’s call them echo chambers and epistemic bubbles. Both are social structures that systematically exclude sources of information. Both exaggerate their members’ confidence in their beliefs. But they work in entirely different ways, and they require very different modes of intervention. An epistemic bubble is when you don’t hear people from the other side. An echo chamber is what happens when you don’t trust people from the other side.
    Teasing things apart a bit, Nguyen gives some definitions:
    Current usage has blurred this crucial distinction, so let me introduce a somewhat artificial taxonomy. An ‘epistemic bubble’ is an informational network from which relevant voices have been excluded by omission.

    […]

    An ‘echo chamber’ is a social structure from which other relevant voices have been actively discredited.

    […]

    In epistemic bubbles, other voices are not heard; in echo chambers, other voices are actively undermined. The way to break an echo chamber is not to wave “the facts” in the faces of its members. It is to attack the echo chamber at its root and repair that broken trust.

    It feels like towards the end of my decade as an active user of Twitter there was a definite shift from it being an ‘epistemic bubble’ towards being an ‘echo chamber’. My ‘Personal Learning Network’ (or ‘PLN’) seemed to be a bit more militant in its beliefs.

    Nguyen goes on to talk at length about fake news, sociological theories, and Cartesian epistemology. Where he ends up, however, is where I would: trust.

    As Elijah Millgram argues in The Great Endarkenment (2015), modern knowledge depends on trusting long chains of experts. And no single person is in the position to check up on the reliability of every member of that chain. Ask yourself: could you tell a good statistician from an incompetent one? A good biologist from a bad one? A good nuclear engineer, or radiologist, or macro-economist, from a bad one? Any particular reader might, of course, be able to answer positively to one or two such questions, but nobody can really assess such a long chain for herself. Instead, we depend on a vastly complicated social structure of trust. We must trust each other, but, as the philosopher Annette Baier says, that trust makes us vulnerable. Echo chambers operate as a kind of social parasite on that vulnerability, taking advantage of our epistemic condition and social dependency.
    That puts us a double-bind. We need to make ourselves vulnerable in order to participate in a society built on trust, but that very vulnerability puts us at danger of being manipulated.

    I see this in fanatical evangelism of blockchain solutions to the ‘problem’ of operating in a trustless environment. To my mind, we need to be trusting people more, not less. Of course, there are obvious exceptions, but breaches of trust are near the top of the list of things we should punish most in a society.

    Is there anything we can do, then, to help an echo-chamber member to reboot? We’ve already discovered that direct assault tactics – bombarding the echo-chamber member with ‘evidence’ – won’t work. Echo-chamber members are not only protected from such attacks, but their belief systems will judo such attacks into further reinforcement of the echo chamber’s worldview. Instead, we need to attack the root, the systems of discredit themselves, and restore trust in some outside voices.
    So the way forward is for people to develop empathy and to show trust. Not present people with evidence that they're wrong. That's never worked in the past, and it won't work now. Our problem isn't a deficit in access to information, it's a deficit in trust.

    Source: Aeon (via Ian O’Byrne)

    The role of Lady Luck

    This post on Of Dollars and Data is a bit rambling, at least from my perspective, but I did like this paragraph:

    Think about the story you tell yourself about yourselfIn all the lives you could be living, in all of the worlds you could simulate, how much did luck play a role in this one? Have you gotten more than your fair share? Have you had to deal with more struggles than most? I ask you this question because accepting luck as a primary determinant in your life is one of the most freeing ways to view the world. Why? Because when you realize the magnitude of happenstance and serendipity in your life, you can stop judging yourself on your outcomes and start focusing on your efforts. It’s the only thing you can control.

    I think this chimes well with Stoic philosophy: focus on the things within you control. There are going to be times in all of our lives when bad things happen. Conversely, there are going to be times when good things happen. We can't control anything apart from our reactions to these things.

    Source: Of Dollars and Data

    The role of Lady Luck

    This post on Of Dollars and Data is a bit rambling, at least from my perspective, but I did like this paragraph:

    Think about the story you tell yourself about yourselfIn all the lives you could be living, in all of the worlds you could simulate, how much did luck play a role in this one? Have you gotten more than your fair share? Have you had to deal with more struggles than most? I ask you this question because accepting luck as a primary determinant in your life is one of the most freeing ways to view the world. Why? Because when you realize the magnitude of happenstance and serendipity in your life, you can stop judging yourself on your outcomes and start focusing on your efforts. It’s the only thing you can control.

    I think this chimes well with Stoic philosophy: focus on the things within you control. There are going to be times in all of our lives when bad things happen. Conversely, there are going to be times when good things happen. We can't control anything apart from our reactions to these things.

    Source: Of Dollars and Data

← Newer Posts Older Posts →