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Bill Fulkerson

On "Skin In The Game": my two caveats | by Antonio Blanco-Gracia | Medium - 0 views

medium.com/...me-my-two-caveats-5599b0f71ba0

skin Taleb game

shared by Bill Fulkerson on 30 Sep 20 - No Cached
  • Bill Fulkerson on 30 Sep 20
     
    "What is Skin in the Game? The phrase is often mistaken for one-sided incentives: the promise of a bonus will make someone work harder for you. For the central attribute is symmetry: the balancing of incentives and disincentives, people should also penalized if something for which they are responsible goes wrong and hurts others: he or she who wants a share of the benefits needs to also share some of the risks."
Bill Fulkerson

Anatomy of an AI System - 1 views

anatomyof.ai

AI amazon

shared by Bill Fulkerson on 14 Sep 18 - No Cached
  • Bill Fulkerson on 14 Sep 18
     
    "With each interaction, Alexa is training to hear better, to interpret more precisely, to trigger actions that map to the user's commands more accurately, and to build a more complete model of their preferences, habits and desires. What is required to make this possible? Put simply: each small moment of convenience - be it answering a question, turning on a light, or playing a song - requires a vast planetary network, fueled by the extraction of non-renewable materials, labor, and data. The scale of resources required is many magnitudes greater than the energy and labor it would take a human to operate a household appliance or flick a switch. A full accounting for these costs is almost impossible, but it is increasingly important that we grasp the scale and scope if we are to understand and govern the technical infrastructures that thread through our lives. III The Salar, the world's largest flat surface, is located in southwest Bolivia at an altitude of 3,656 meters above sea level. It is a high plateau, covered by a few meters of salt crust which are exceptionally rich in lithium, containing 50% to 70% of the world's lithium reserves. 4 The Salar, alongside the neighboring Atacama regions in Chile and Argentina, are major sites for lithium extraction. This soft, silvery metal is currently used to power mobile connected devices, as a crucial material used for the production of lithium-Ion batteries. It is known as 'grey gold.' Smartphone batteries, for example, usually have less than eight grams of this material. 5 Each Tesla car needs approximately seven kilograms of lithium for its battery pack. 6 All these batteries have a limited lifespan, and once consumed they are thrown away as waste. Amazon reminds users that they cannot open up and repair their Echo, because this will void the warranty. The Amazon Echo is wall-powered, and also has a mobile battery base. This also has a limited lifespan and then must be thrown away as waste. According to the Ay
Bill Fulkerson

The mathematical case against blaming people for their misfortune | Psyche Ideas - 0 views

psyche.co/...ng-people-for-their-misfortune

risk misfortune mathematics

shared by Bill Fulkerson on 19 Jan 21 - No Cached
  • Bill Fulkerson on 19 Jan 21
     
    The starting point is to note that, for people to be held responsible for their actions, they have to know about certain features of the world. In many cases, even this minimal condition for blameworthiness isn't satisfied. For example, Chow would have struggled to predict that the rise of ridesharing apps would crater the market for taxi medallions in New York City - but so, too, did most of us. By their very nature, technological disruptions are difficult to foresee; if they were easy to predict, early investors in these technologies wouldn't get so rich. Such a low bar for blameworthiness seems too harsh to be plausible; how can any of us be blamed for failing to spot trends that almost no one was able to see, despite the significant material incentives for doing so?
Bill Fulkerson

When models are everywhere - O'Reilly - 0 views

www.oreilly.com/...when-models-are-everywhere

models

shared by Bill Fulkerson on 12 May 20 - No Cached
  • Bill Fulkerson on 12 May 20
     
    You probably interact with fifty to a hundred machine learning products every day, from your social media feeds and YouTube recommendations to your email spam filter and the updates that the New York Times, CNN, or Fox News decide to push, not to mention the hidden models that place ads on the websites you visit, and that redesign your 'experience' on the fly. Not all models are created equal, however: they operate on different principles, and impact us as individuals and communities in different ways. They differ fundamentally from each other along dimensions such as alignment of incentives between stakeholders, "creep factor", and the nature of how their feedback loops ope !L
Bill Fulkerson

Is Peer Review a Good Idea? | The British Journal for the Philosophy of Science | Oxfor... - 0 views

academic.oup.com/...5526887

philosophy science peer review

shared by Bill Fulkerson on 28 May 20 - No Cached
  • Bill Fulkerson on 28 May 20
     
    Prepublication peer review should be abolished. We consider the effects that such a change will have on the social structure of science, paying particular attention to the changed incentive structure and the likely effects on the behaviour of individual scientists. We evaluate these changes from the perspective of epistemic consequentialism. We find that where the effects of abolishing prepublication peer review can be evaluated with a reasonable level of confidence based on presently available evidence, they are either positive or neutral. We conclude that on present evidence abolishing peer review weakly dominates the status quo.
Steve Bosserman

Batteries That Make Use of Solar Power, Even in the Dark - The New York Times - 0 views

www.nytimes.com/...ar-power-even-in-the-dark.html

batteries solar power energy storage

shared by Steve Bosserman on 28 Nov 16 - No Cached
  • Amid all this disruption, Britain and other countries have created a smorgasbord of incentives to power providers to keep the lights from going off. Neil Hutchings, director of power systems and storage at Anesco, the small British company that supplied Mr. Beatty’s battery, said there were no fewer than 14 ways that it could make money. “The real secret is how to pick out the best combination,” he said. Independent journalism.More essential than ever. Subscribe to the Times While he said the batteries, which are imported from China, were improving, the real key was in the electronic controls that allowed them to react almost instantaneously to the needs of the grid.
Steve Bosserman

High score, low pay: why the gig economy loves gamification | Business | The Guardian - 0 views

www.theguardian.com/...ivers-ride-hailing-gig-economy

gamification gig economy taxi service incentive productivity profit

shared by Steve Bosserman on 23 Nov 18 - No Cached
  • Simply defined, gamification is the use of game elements – point-scoring, levels, competition with others, measurable evidence of accomplishment, ratings and rules of play – in non-game contexts. Games deliver an instantaneous, visceral experience of success and reward, and they are increasingly used in the workplace to promote emotional engagement with the work process, to increase workers’ psychological investment in completing otherwise uninspiring tasks, and to influence, or “nudge”, workers’ behaviour.
  • According to Burawoy, production at Allied was deliberately organised by management to encourage workers to play the game. When work took the form of a game, Burawoy observed, something interesting happened: workers’ primary source of conflict was no longer with the boss. Instead, tensions were dispersed between workers (the scheduling man, the truckers, the inspectors), between operators and their machines, and between operators and their own physical limitations (their stamina, precision of movement, focus). The battle to beat the quota also transformed a monotonous, soul-crushing job into an exciting outlet for workers to exercise their creativity, speed and skill. Workers attached notions of status and prestige to their output, and the game presented them with a series of choices throughout the day, affording them a sense of relative autonomy and control. It tapped into a worker’s desire for self-determination and self-expression. Then, it directed that desire towards the production of profit for their employer.
  • Former Google “design ethicist” Tristan Harris has also described how the “pull-to-refresh” mechanism used in most social media feeds mimics the clever architecture of a slot machine: users never know when they are going to experience gratification – a dozen new likes or retweets – but they know that gratification will eventually come. This unpredictability is addictive: behavioural psychologists have long understood that gambling uses variable reinforcement schedules – unpredictable intervals of uncertainty, anticipation and feedback – to condition players into playing just one more round.
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  • Gaming the game, Burawoy observed, allowed workers to assert some limited control over the labour process, and to “make out” as a result. In turn, that win had the effect of reproducing the players’ commitment to playing, and their consent to the rules of the game. When players were unsuccessful, their dissatisfaction was directed at the game’s obstacles, not at the capitalist class, which sets the rules. The inbuilt antagonism between the player and the game replaces, in the mind of the worker, the deeper antagonism between boss and worker. Learning how to operate cleverly within the game’s parameters becomes the only imaginable option. And now there is another layer interposed between labour and capital: the algorithm.
Steve Bosserman

'Forget the Facebook leak': China is mining data directly from workers' brains on an in... - 0 views

www.scmp.com/...g-data-directly-workers-brains

employees china brain-reading data mining surveillance

shared by Steve Bosserman on 01 May 18 - No Cached
  • The technology is in widespread use around the world but China has applied it on an unprecedented scale in factories, public transport, state-owned companies and the military to increase the competitiveness of its manufacturing industry and to maintain social stability.
  • Jin said that at present China’s brain-reading technology was on a par with that in the West but China was the only country where there had been reports of massive use of the technology in the workplace.
  • With improved speed and sensitivity, the device could even become a “mental keyboard” allowing the user to control a computer or mobile phone with their mind.
  • ...3 more annotations...
  • Qiao Zhian, professor of management psychology at Beijing Normal University, said that while the devices could make businesses more competitive the technology could also be abused by companies to control minds and infringe privacy, raising the spectre of “thought police”.
  • “There is no law or regulation to limit the use of this kind of equipment in China. The employer may have a strong incentive to use the technology for higher profit, and the employees are usually in too weak a position to say no,” he said.
  • Lawmakers should act now to limit the use of emotion surveillance and give workers more bargaining power to protect their interests, Qiao said. “The human mind should not be exploited for profit,” he said.
Steve Bosserman

Why the utopian vision of William Morris is now within reach - Vasilis Kostakis and Wol... - 0 views

aeon.co/...iam-morris-is-now-within-reach

peer production cooperatives commons

shared by Steve Bosserman on 04 May 18 - No Cached
  • In News from Nowhere, Morris imagined a world in which human happiness and economic activity coincided. He reminds us that there needs to be a point to labour beyond making ends meet – and there is. Unalienated labour creates happiness for all – consumer and creator; whereas modern capitalism, in contrast, has created a treadmill in which this aspect of work has been lost. Capitalism, he explains, locks the capitalist into a horrible life, which leads nowhere but the grave.
  • No matter where they are based, people today can use the internet to cooperate and globally share the products of their cooperation as a commons. Commons-based peer production (usually abbreviated as CBPP) is fundamentally different from the dominant modes of production under industrial capitalism. In the latter, owners of means of production hire workers, direct the work process, and sell products for profit-maximisation. Think how typical multinational corporations are working. Such production is organised by allocating resources through the market (pricing) and through hierarchical command. In contrast, CBPP is in principle open to anyone with the relevant skills to contribute to a common project: the knowledge of every participant is pooled.
  • These participants might be paid, but not necessarily. Since commons-based projects are open systems, anyone with the right knowledge and skills can contribute, either paid by companies, clients or not at all.
  • ...4 more annotations...
  • What is light (knowledge, design) becomes global; what is heavy (manufacturing) is local and shared
  • When social groups appropriate a particular technology for their own purposes, then social, political and economic systems can change
  • CBPP allows contributions based on all kinds of motivations such as the need to learn or to communicate. However, most importantly, a key incentive is the desire to create something mutually useful to those contributing. This also generally means that people contribute because they find it meaningful and useful, and they believe the resulting product worthwhile.
  • The design is developed and improved as a global digital commons, while the manufacturing often takes place through shared infrastructures and with local biophysical conditions in mind.
Steve Bosserman

Amazon Is Finally Helping Developers Turn Alexa Skills Into Money - 0 views

www.fastcompany.com/...s-turn-alexa-skills-into-money

voice economy artificial economy

shared by Steve Bosserman on 06 May 18 - No Cached
  • Amazon is announcing general availability in the U.S. for in-skill purchasing, which allows the creator of a skill to sell content to an Alexa user–both one-off purchases and monthly or yearly subscriptions, with the entire transaction handled inside the skill via voice on a device such as an Echo or a third-party Alexa-compatible gadget. (As with mobile app stores, developers get 70% of the price paid by users, and Amazon collects 30% as its reward for facilitating the transaction.) In addition, the company is opening up the ability for sellers of real-world goods and services to receive payment via Alexa using the Amazon Pay service; early adopters include 1-800-Flowers, TGI Friday’s, and Atom Tickets.
  • With Alexa’s new monetization features just reaching broad availability, it’s too early to gauge their long-term impact on the platform. But for the moment, at least, they give developers an incentive to devote even more resources to Amazon’s voice service rather than divert attention to its most formidable rival, Google Assistant. Google just launched a fund to invest in Google Assistant-centric startups–reminiscent of the Alexa Fund that Amazon established back in 2015–but it hasn’t yet given Assistant commerce features like the ones Alexa is adding.
  • “We’re at this inflection point with Alexa,” Rabuchin says. “We’ve laid the foundation for the voice economy, and now, by opening up all these monetization capabilities, we think it’s going to really take off in the next year.” The idea that an epoch-shifting phenomenon like Alexa hasn’t yet taken off is a bit of a mind-bender–but whatever happens next, it’s clearly entering a new phase.
Steve Bosserman

I am a data factory (and so are you) - 0 views

www.roughtype.com/?p=8394

data human rights commons platforms

shared by Steve Bosserman on 10 May 18 - No Cached
  • Data is no less a form of common property than oil or soil or copper. We make data together, and we make it meaningful together, but its value is currently captured by the companies that own it. We find ourselves in the position of a colonized country, our resources extracted to fill faraway pockets. Wealth that belongs to the many — wealth that could help feed, educate, house and heal people — is used to enrich the few. The solution is to take up the template of resource nationalism, and nationalize our data reserves.
  • Emphasising time well spent means creating a Facebook that prioritises data-rich personal interactions that Facebook can use to make a more engaging platform. Rather than spending a lot of time doing things that Facebook doesn’t find valuable – such as watching viral videos – you can spend a bit less time, but spend it doing things that Facebook does find valuable. In other words, “time well spent” means Facebook can monetise more efficiently. It can prioritise the intensity of data extraction over its extensiveness. This is a wise business move, disguised as a concession to critics. Shifting to this model not only sidesteps concerns about tech addiction – it also acknowledges certain basic limits to Facebook’s current growth model. There are only so many hours in the day. Facebook can’t keep prioritising total time spent – it has to extract more value from less time.
  • But let’s assume that our vast data collective is secure, well managed, and put to purely democratic ends. The shift of data ownership from the private to the public sector may well succeed in reducing the economic power of Silicon Valley, but what it would also do is reinforce and indeed institutionalize Silicon Valley’s computationalist ideology, with its foundational, Taylorist belief that, at a personal and collective level, humanity can and should be optimized through better programming. The ethos and incentives of constant surveillance would become even more deeply embedded in our lives, as we take on the roles of both the watched and the watcher. Consumer, track thyself! And, even with such a shift in ownership, we’d still confront the fraught issues of design, manipulation, and agency.
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