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Bill Fulkerson

How Uber Uses Psychological Tricks to Push Its Drivers' Buttons - The New York Times - 0 views

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    "Uber exists in a kind of legal and ethical purgatory, however. Because its drivers are independent contractors, they lack most of the protections associated with employment. By mastering their workers' mental circuitry, Uber and the like may be taking the economy back toward a pre-New Deal era when businesses had enormous power over workers and few checks on their ability to exploit it."
Steve Bosserman

A California Court Just Ruled That Gig Workers Are Bona Fide Employees. Will Courts in ... - 0 views

  • The court ruled in favor of the Dynamex drivers, agreeing that they had been misclassified as independent contractors and are, in fact, employees. The ruling also concluded that employers could only classify as independent contractors those workers who meet the conditions laid out in the "ABC standard" established in other states:(a) that the worker is free from control and direction over performance of the work, both under the contract and in fact; (b) that the work provided is outside the usual course of the business for which the work is performed; and (c) that the worker is customarily engaged in an independently established trade, occupation or business (hence the ABC standard).
  • While some of these workers may be independent contractors by choice, others, like the Dynamex drivers, were forced into the classification by employers looking to save money. The National Employment Law Project estimates that employers can reduce payroll and other taxes by up to 30 percent by re-classifying employees. State-level studies on the issue, meanwhile, have uncovered extremely high misclassification rates—a series of audits in Ohio found that 47 percent of workers were misclassified. (This misclassification, not surprisingly, costs federal, state, and local governments hundreds of millions of dollars in lost tax revenues.)
Bill Fulkerson

Living The Good Life In A Non-Growth World: Investigating The Role Of Hierarchy, Part 2 - 0 views

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    Humanity's most pressing need is to learn how to live within our planet's boundaries - something that likely means doing without economic growth. How, then, can we create a non-growth society that is both just and equitable? I attempt to address this question by looking at an aspect of sustainability (and equity) that is not often discussed: the growth of hierarchy. As societies consume more energy, they tend to become more hierarchical. At the same time, the growth of hierarchy also seems to be a key driver of income/resource inequality. In this essay, I review the evidence for the joint relation between energy, hierarchy and inequality. I then speculate about what it implies for achieving a sustainable and equitable future.
Bill Fulkerson

Age-dependent effects in the transmission and control of COVID-19 epidemics | Nature Me... - 0 views

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    , we disentangle the relative contributions of three potential drivers of the observed distribution of clinical cases by age. We present a summary of the main findings, limitations and implications of
Bill Fulkerson

Cartels, competition, and coalitions: the domestic drivers of international orders: Rev... - 0 views

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    Most theoretical and empirical accounts of trade politics focus on political conflict among competing private interest groups and over policies between the dichotomy of trade liberalization and protectionism. This article challenges this conceptualization by arguing that issues of antitrust, market power, and competition are central to the politics over free trade, and that in this domain state actors are comparatively more important. Original archival evidence from the American New Deal and post-war foreign economic policy shows that post-war free-trade policies were heavily influenced by views, formed in the 1930s, about domestic industrial organization and antitrust. These preferences were then pushed into international economic policy during and after World War II through trade negotiations, extraterritorial application of American law, and pressure for domestic competition laws abroad. In one of the most prominent episodes of trade liberalization, an antitrust campaign and debate permeated trade issues, based in independent state learning and economic preferences.
Bill Fulkerson

First direct evidence of ocean mixing across the Gulf Stream - 0 views

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    New research provides the first direct evidence for the Gulf Stream blender effect, identifying a new mechanism of mixing water across the swift-moving current. The results have important implications for weather, climate and fisheries because ocean mixing plays a critical role in these processes. The Gulf Stream is one of the largest drivers of climate and biological productivity from Florida to Newfoundland and along the western coast of Europe.
Steve Bosserman

The CFA Franc Zones: Neocolonialism and Dependency - Economic Questions - 0 views

  • In conclusion, the CFA franc zones continue to be dominated by the political will, economic interest, and geopolitical strategy pursued by the French republic. It seems some elite leaders do not wean away from France’s influence. President Omar Bongo of Gabor said, “France without Gabon is like a car without petrol, Gabon without France is analogous to a car without a driver.” The previous quote can be applied to almost all of the franc zone nations. The set up of the currency unions benefits France more than its members. French colonialism is preventing the development of these nations and causing them to be dependent.
Steve Bosserman

Which Industries Are Investing in Artificial Intelligence? - 0 views

  • The term artificial intelligence typically refers to automation of tasks by software that previously required human levels of intelligence to perform. While machine learning is sometimes used interchangeably with AI, machine learning is just one sub-category of artificial intelligence whereby a device learns from its access to a stream of data.When we talk about AI spending, we’re typically talking about investment that companies are making in building AI capabilities. While this may change in the future, McKinsey estimates that the vast majority of spending is done internally or as an investment, and very little of it is done purchasing artificial intelligence applications from other businesses.
  • 62% of AI spending in 2016 was for machine learning, twice as much as the second largest category computer vision. It’s worth noting that these categories are all types of “narrow” (or “weak”) forms of AI that use data to learn about and accomplish a specific narrowly defined task. Excluded from this report is “general” (or “strong”) artificial intelligence which is more akin to trying to create a thinking human brain.
  • The McKinsey survey mostly fits well as evidence supporting Cross’s framework that large profitable industries are the most fertile grounds of AI adoption. Not surprisingly, Technology is the industry with highest AI adoption and financial services also makes the top three as Cross would predict.Notably, automotive and assembly is the industry with the second highest rate of AI adoption in the McKinsey survey. This may be somewhat surprising as automotive isn’t necessarily an industry with the reputation for high margins. However, the use cases of AI for developing self-driving cars and cost savings using machine learning to improve manufacturing and procurement efficiencies are two potential drivers of this industry’s adoption.
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  • AI jobs are much more likely to be unfilled after 60 days compared to the typical job on Indeed, which is only unfilled a quarter of the time. As the demand for AI talent continues to grow faster than the supply, there is no indication this hiring cycle will become quicker anytime soon.
  • One thing we know for certain is that it is very expensive to attract AI talent, given that starting salaries for entry-level talent exceed $300,000. A good bet is that the companies that invest in AI are the ones with healthy enough profit margins that they can afford it.
Steve Bosserman

60 Minutes: Facial and emotional recognition; how one man is advancing artificial intel... - 0 views

  • Basically chauffeurs, truck drivers anyone who does driving for a living their jobs will be disrupted more in the 15 to 20 year time frame and many jobs that seem a little bit complex, chef, waiter, a lot of things will become automated we'll have automated stores, automated restaurants, and all together in 15 years, that's going to displace about 40 percent of the jobs in the world.
  • Because I believe in the sanctity of our soul. I believe there is a lot of things about us that we don't understand. I believe there's a lot of love and compassion that is not explainable in terms of neural networks and computation algorithms. And I currently see no way of solving them. Obviously, unsolved problems have been solved in the past. But it would be irresponsible for me to predict that these will be solved by a certain timeframe.
Steve Bosserman

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

  • 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.
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