The Protein and the Social Worker: How machine learning can help us tackle society’s biggest challenges


Article by Juan Mateos-Garcia: “The potential for machine learning (ML) to address our toughest health, education and sustainability issues remains unfulfilled. What lessons about what to do – and what not to do – can we learn from other sectors where ML has been applied at scale?

Last year, the UK research lab DeepMind announced that its AI system, AlphaFold 2, can predict a protein’s 3D structure with an unprecedented level of accuracy. This breakthrough could enable rapid advances in drug discovery and environmental applications.

Like almost all AI systems today, AlphaFold 2 is based on ML techniques that learn from data to make predictions. These ‘prediction machines’ are at the heart of internet products and services we use every day, from search engines and social networks to personal assistants and online stores. In years to come, ML is expected to transform other sectors including transportation (through self-driving vehicles), biomedical research (through precision medicine) and manufacturing (through robotics).

But what about fields such as healthy living, early years development or sustainability, where our societies face some of their greatest challenges? Predictive ML techniques could also play an important role there – by helping identify pupils at risk of falling behind, or by personalising interventions to encourage healthier behaviours. However, its potential in these areas is still far from being realised….(More)”.

How data analysis can enrich the liberal arts


The Economist: “…The arts can indeed seem as if they are under threat. Australia’s education ministry is doubling fees for history and philosophy while cutting those for stem subjects. Since 2017 America’s Republican Party has tried to close down the National Endowment for the Humanities (neh), a federal agency, only to be thwarted in Congress. In Britain, Dominic Cummings—who until November 2020 worked as the chief adviser to Boris Johnson, the prime minister—advocates for greater numeracy while decrying the prominence of bluffing “Oxbridge humanities graduates”. (Both men studied arts subjects at Oxford.)

However, little evidence yet exists that the burgeoning field of digital humanities is bankrupting the world of ink-stained books. Since the neh set up an office for the discipline in 2008, it has received just $60m of its $1.6bn kitty. Indeed, reuniting the humanities with sciences might protect their future. Dame Marina Warner, president of the Royal Society of Literature in London, points out that part of the problem is that “we’ve driven a great barrier” between the arts and stem subjects. This separation risks portraying the humanities as a trivial pursuit, rather than a necessary complement to scientific learning.

Until comparatively recently, no such division existed. Omar Khayyam wrote verse and cubic equations, Ada Lovelace believed science was poetical and Bertrand Russell won the Nobel prize for literature. In that tradition, Dame Marina proposes that all undergraduates take at least one course in both humanities and sciences, ideally with a language and computing. Introducing such a system in Britain would be “a cause for optimism”, she thinks. Most American universities already offer that breadth, which may explain why quantitative literary criticism thrived there. The sciences could benefit, too. Studies of junior doctors in America have found that those who engage with the arts score higher on tests of empathy.

Ms McGillivray says she has witnessed a “generational shift” since she was an undergraduate in the late 1990s. Mixing her love of mathematics and classics was not an option, so she spent seven years getting degrees in both. Now she sees lots of humanities students “who are really keen to learn about programming and statistics”. A recent paper she co-wrote suggested that British arts courses could offer basic coding lessons. One day, she reckons, “It’s going to happen…(More)”.

10 Questions That Will Determine the Future of Work


Article by Jeffrey Brown and Stefaan Verhulst: “…But in many cases, policymakers face a blizzard of contradictory information and forecasts that can lead to confusion and inaction. Unable to make sense of the torrent of data being thrown their way, policymakers often end up being preoccupied by the answers presented — rather than reflecting on the questions that matter.

If we want to design “good” future-of-work policies, we must have an inclusive and wide-ranging discussion of what we are trying to solve before we attempt to develop and deploy solutions….

We have found that policymakers often fail to ask questions and are often uncertain about the variables that underpin a problem.

In addition, few of the interventions that have been deployed make the best use of data, an emerging but underused asset that is increasingly available as a result of the ongoing digital transformation. If civil society, think tanks and others fail to create the space for a sustainable future-of-work policy to germinate, “solutions” without clearly articulated problems will continue to dictate policy…

Our 100 Questions Initiative seeks to interrupt this cycle of preoccupation with answers by ensuring that policymakers are, first of all, armed with a methodology they can use to ask the right questions and from there, craft the right solutions.

We are now releasing the top 10 questions and are seeking the public’s assistance through voting and providing feedback on whether or not these are really the right questions we should be asking:

Preparing for the Future of Work

  1. How can we determine the value of skills relevant to the future-of work-marketplace, and how can we increase the value of human labor in the 21st century?
  2. What are the economic and social costs and benefits of modernizing worker-support systems and providing social protection for workers of all employment backgrounds, but particularly for women and those in part-time or informal work?
  3. How does the current use of AI affect diversity and equity in the labor force? How can AI be used to increase the participation of underrepresented groups (including women, Black people, Latinx people, and low-income communities)? What aspects/strategies have proved most effective in reducing AI biases?…(More) (See also: https://future-of-work.the100questions.org/)

Court Rules Deliveroo Used ‘Discriminatory’ Algorithm


Gabriel Geiger at Motherboard: “An algorithm used by the popular European food delivery app Deliveroo to rank and offer shifts to riders is discriminatory, an Italian court ruled late last week, in what some experts are calling a historic decision for the gig economy. The case was brought by a group of Deliveroo riders backed by CGIL, Italy’s largest trade union. 

markedly detailed ordinance written by presiding judge Chiara Zompi gives an intimate look at one of many often secretive algorithms used by gig platforms to micromanage workers and which can have profound impacts on their livelihoods. 

While machine-learning algorithms are central to Deliveroo’s entire business model, the particular algorithm examined by the court allegedly was used to determine the “reliability” of a rider. According to the ordinance, if a rider failed to cancel a shift pre-booked through the app at least 24 hours before its start, their “reliability index” would be negatively affected. Since riders deemed more reliable by the algorithm were first to be offered shifts in busier timeblocks, this effectively meant that riders who can’t make their shifts—even if it’s because of a serious emergency or illness—would have fewer job opportunities in the future….(More)”

The War on Professionalism


Jonathan Rauch in National Affairs: “…As a child, I asked my father, a lawyer, what the word “professional” meant. He replied, “it means you do something for a living.” He contrasted it with the term “amateur,” meaning someone who works for pleasure.

My father’s definition has merit. I recall it whenever I tell interns that, to me, professionalism means performing a job to the highest standards, even when I don’t feel like doing it at all. One might think of the doctor who shows up for emergency surgery on Christmas Eve, the journalist who takes care to verify every fact mentioned in a report, or the concert pianist who gives the audience the best he is capable of night after night, even on nights when he would much rather be doing anything else.

That concept of professionalism is a good starting point, but we can dig deeper by drawing on the work of the American Enterprise Institute’s Yuval Levin. In his book A Time to Build, Levin explores the role and meaning of institutions. Institutions, he says, are — or, when they function well, should be — forms, training and shaping people to work together toward a larger goal. The military is a classic example, as are churches and schools. These “structures of social life” provide the durable arrangements that frame our perceptions, mold our character, and delineate our social existence.

When institutions do not or cannot perform those shaping functions, they collapse into something more like platforms — stages upon which individuals perform in order to build audiences and self-advertise. He locates the collapse of trust in institutions — and the resulting public sense of anomie and disconnectedness — in the conversion of many institutions from places where people are formed to places where people perform. Thus a self-promoting real-estate magnate can become a self-promoting reality-TV host and then a self-promoting presidential candidate, hopping from one stage to the next, all while putting on pretty much the same show.

As institutions have drifted away from shaping us and toward displaying us, they have lost both efficacy and legitimacy. And we, in turn, have naturally lost confidence in them. Moreover, Levin argues, institutions have been taken for granted for so long, and yet are neglected so generally, that we have lost even the vocabulary for talking about what they are supposed to be doing. We don’t realize what we are missing, although we acutely feel the void.

Something very much like that has happened with professionalism. A combination of institutional absence, lazy thinking, and populist politics has collapsed the idea of professionalism down to the much flatter notion of elitism.

To some extent, it is natural to think of professionalism and elitism as two sides of the same coin. After all, many professionals are people with advanced degrees and high incomes who occupy elite positions in society. We imagine professionalism to be about excluding others from certain pursuits or occupations like law and medicine — a seemingly elitist practice. We think of it, too, as synonymous with professional schooling, something not everyone can aspire to.

Still, there is a world of difference between professionals and elites. Elites are influential by dint of who they are and whom they know. They are elite because they have social connections and powerful positions. Professionals, by contrast, are influential by dint of what they know and what they do. Their status is contingent on both their standing and their behavior.

That distinction gestures toward a fuller definition of professionalism, one that implies commitment to personal standards, social norms, and expert knowledge in furtherance of a mission or an institution. That is, professionalism defines a right way of doing things — a notion of best practices — that is grounded in dedication to a mission or an institution rather than personal advancement or partisan loyalty. As Levin says, professionalism “tends to yield a strong internal ethos among practitioners. In uncertain situations, a professional asks himself, ‘What should I do here, given my professional responsibilities?’ And his profession will generally have an answer to that question.”

As Levin notices, institutionalism and professionalism are cousins. Both institutions and professions organize individuals to accomplish missions, they seek to inculcate norms and guide behavior, they assemble and transmit knowledge and best practices across generations, they cultivate reputational capital over long spans of time, and they draw and enforce boundaries between insiders and outsiders….(More)”

To Thrive, Our Democracy Needs Digital Public Infrastructure


Article by Eli Pariser and Danielle Allen: “The story of how the internet has become so broken is already familiar. More and more of our public life takes place on big tech platforms optimized for clicks, shares, and virality. The result is that we spend our online time largely in rule-less spaces that reward our worst impulses, trap us in bubbles of like-minded opinion, and leave us susceptible to harassment, lies and misinformation. Facebook, Twitter, and YouTube each took first steps to rein in the worst behavior on their platforms in the heat of the election, but none have confronted how their spaces were structured to become ideal venues for outrage and incitement…

The first step in the process is realizing that the problems we’re experiencing in digital life — how to gather strangers together in public in ways that make it so people generally behave themselves — aren’t new. They’re problems that physical communities have wrestled with for centuries. In physical communities, businesses play a critical role — but so do public libraries, schools, parks and roads. These spaces are often the groundwork that private industry builds itself around: Schools teach and train the next generation of workers; new public parks and plazas often spur private real estate development; businesses transport goods on publicly funded roads; and so on. Public spaces and private industry work symbiotically, if sometimes imperfectly.

Beyond their instrumental value for prosperity, we need public spaces and institutions to weave and maintain our social fabric. In physical communities, parks and libraries aren’t just places for exercise or book-borrowing — they also create social connections, a sense of community identity, and a venue in which differences and inequalities can be surfaced and addressed. Public spaces provide access to essential resources for people who couldn’t otherwise access them — whether it’s an outdoor workout station, basketball court, or books in a library — but they are some of the few spaces in a community where we get a glimpse of each other’s lives and help us see ourselves as part of a pluralistic but cohesive society….

If mission, design and governance are important ingredients, the final component is what might be called digital essential workers — professionals like librarians whose job is to manage, steward, and care for the people in these spaces. This care work is one of the pillars of successful physical communities which has been abstracted away by the existing tech platforms. Scholar Joan Donovan has called for 10,000 librarians for the Internet, while Sarah R. Roberts has pointed out that doing curation at scale would be impossible within the current social media business model. At a time when our country is pulling apart and many Americans need work, it’s worth considering whether we need an AmeriCorps for digital space.

How might we pay for this? A two-year project one of us helped lead at the American Academy of Arts and Sciences issued a final report that recommended taxing what’s known as “targeted advertising” — the kind Google and Facebook rely on for their revenue — in order to support the democratic functions social platforms have had a hand in dismantling, like local journalism. The truth is that Facebook, Google, and Twitter have displaced and sucked the revenue out of an entire ecosystem of local journalistic enterprises and other institutions that served some of these public functions. Those three companies alone made nearly $33 billion in profits in the third quarter of 2020 alone — and that profit margin in part comes from not having to pay for the negative externalities they create or the public goods they erode. Using some of those funds to support public digital infrastructure seems eminently reasonable….(More)”.

Augmented Reality and the Surveillance Society


Mark Pesce at IEEE Spectrum: “First articulated in a 1965 white paper by Ivan Sutherland, titled “The Ultimate Display,” augmented reality (AR) lay beyond our technical capacities for 50 years. That changed when smartphones began providing people with a combination of cheap sensors, powerful processors, and high-bandwidth networking—the trifecta needed for AR to generate its spatial illusions. Among today’s emerging technologies, AR stands out as particularly demanding—for computational power, for sensed data, and, I’d argue, for attention to the danger it poses.

Unlike virtual-reality (VR) gear, which creates for the user a completely synthetic experience, AR gear adds to the user’s perception of her environment. To do that effectively, AR systems need to know where in space the user is located. VR systems originally used expensive and fragile systems for tracking user movements from the outside in, often requiring external sensors to be set up in the room. But the new generation of VR accomplishes this through a set of techniques collectively known as simultaneous localization and mapping (SLAM). These systems harvest a rich stream of observational data—mostly from cameras affixed to the user’s headgear, but sometimes also from sonar, lidar, structured light, and time-of-flight sensors—using those measurements to update a continuously evolving model of the user’s spatial environment.

For safety’s sake, VR systems must be restricted to certain tightly constrained areas, lest someone blinded by VR goggles tumble down a staircase. AR doesn’t hide the real world, though, so people can use it anywhere. That’s important because the purpose of AR is to add helpful (or perhaps just entertaining) digital illusions to the user’s perceptions. But AR has a second, less appreciated, facet: It also functions as a sophisticated mobile surveillance system.

This second quality is what makes Facebook’s recent Project Aria experiment so unnerving. Nearly four years ago, Mark Zuckerberg announced Facebook’s goal to create AR “spectacles”—consumer-grade devices that could one day rival the smartphone in utility and ubiquity. That’s a substantial technical ask, so Facebook’s research team has taken an incremental approach. Project Aria packs the sensors necessary for SLAM within a form factor that resembles a pair of sunglasses. Wearers collect copious amounts of data, which is fed back to Facebook for analysis. This information will presumably help the company to refine the design of an eventual Facebook AR product.

The concern here is obvious: When it comes to market in a few years, these glasses will transform their users into data-gathering minions for Facebook. Tens, then hundreds of millions of these AR spectacles will be mapping the contours of the world, along with all of its people, pets, possessions, and peccadilloes. The prospect of such intensive surveillance at planetary scale poses some tough questions about who will be doing all this watching and why….(More)”.

Inside India’s booming dark data economy


Snigdha Poonam and Samarath Bansal at the Rest of the World: “…The black market for data, as it exists online in India, resembles those for wholesale vegetables or smuggled goods. Customers are encouraged to buy in bulk, and the variety of what’s on offer is mind-boggling: There are databases about parents, cable customers, pregnant women, pizza eaters, mutual funds investors, and almost any niche group one can imagine. A typical database consists of a spreadsheet with row after row of names and key details: Sheila Gupta, 35, lives in Kolkata, runs a travel agency, and owns a BMW; Irfaan Khan, 52, lives in Greater Noida, and has a son who just applied to engineering college. The databases are usually updated every three months (the older one is, the less it is worth), and if you buy several at the same time, you’ll get a discount. Business is always brisk, and transactions are conducted quickly. No one will ask you for your name, let alone inquire why you want the phone numbers of five million people who have applied for bank loans.

There isn’t a reliable estimate of the size of India’s data economy or of how much money it generates annually. Regarding the former, each broker we spoke to had a different guess: One said only about one or two hundred professionals make up the top tier, another that every big Indian city has at least a thousand people trading data. To find them, potential customers need only look for their ads on social media or run searches with industry keywords and hashtags — “data,” “leads,” “database” — combined with detailed information about the kind of data they want and the city they want it from.

Privacy experts believe that the data-brokering industry has existed since the early days of the internet’s arrival in India. “Databases have been bought and sold in India for at least 15 years now. I remember a case from way back in 2006 of leaked employee data from Naukri.com (one of India’s first online job portals) being sold on CDs,” says Nikhil Pahwa, the editor and publisher of MediaNama, which covers technology policy. By 2009, data brokers were running SMS-marketing companies that offered complementary services: procuring targeted data and sending text messages in bulk. Back then, there was simply less data, “and those who had it could sell it at whatever price,” says Himanshu Bhatt, a data broker who claims to be retired. That is no longer the case: “Today, everyone has every kind of data,” he said.

No broker we contacted would openly discuss their methods of hunting, harvesting, and selling data. But the day-to-day work generally consists of following the trails that people leave during their travels around the internet. Brokers trawl data storage websites armed with a digital fishing net. “I was shocked when I was surfing [cloud-hosted data sites] one day and came across Aadhaar cards,” Bhatt remarked, referring to India’s state-issued biometric ID cards. Images of them were available to download in bulk, alongside completed loan applications and salary sheets.

Again, the legal boundaries here are far from clear. Anybody who has ever filled out a form on a coupon website or requested a refund for a movie ticket has effectively entered their information into a database that can be sold without their consent by the company it belongs to. A neighborhood cell phone store can sell demographic information to a political party for hyperlocal campaigning, and a fintech company can stealthily transfer an individual’s details from an astrology app onto its own server, to gauge that person’s creditworthiness. When somebody shares employment history on LinkedIn or contact details on a public directory, brokers can use basic software such as web scrapers to extract that data.

But why bother hacking into a database when you can buy it outright? More often, “brokers will directly approach a bank employee and tell them, ‘I need the high-end database’,” Bhatt said. And as demand for information increases, so, too, does data vulnerability. A 2019 survey found that 69% of Indian companies haven’t set up reliable data security systems; 44% have experienced at least one breach already. “In the past 12 months, we have seen an increasing trend of Indians’ data [appearing] on the dark web,” says Beenu Arora, the CEO of the global cyberintelligence firm Cyble….(More)”.

Is a racially-biased algorithm delaying health care for one million Black people?


Jyoti Madhusoodanan at Nature: “One million Black adults in the United States might be treated earlier for kidney disease if doctors were to remove a controversial ‘race-based correction factor’ from an algorithm they use to diagnose people and decide whether to administer medication, a comprehensive analysis finds.

Critics of the factor question its medical validity and say it potentially perpetuates racial bias — and that the latest study, published on 2 December in JAMA1, strengthens growing calls to discontinue its use.

“A population that is marginalized and much less likely to have necessary resources and support is the last group we want to put in a situation where they’re going to have delays in diagnosis and treatment,” says nephrologist Keith Norris at the University of California, Los Angeles, who argues for retiring the correction until there’s clear evidence that it’s necessary.

On the flip side, others say that the correction is based on scientific data that can’t be ignored, although they, too, agree that its basis on race is a problem….(More)”.

Challenging the ‘Great Reset’ theory of pandemics


Essay by Mark Honigsbaum: “Few events are as compelling as an epidemic. When sufficiently severe, an epidemic evokes responses from every sector of society, laying bare social and economic fault lines and presenting politicians with fraught medical and moral choices. In the most extreme cases, an epidemic can foment a full-blown political crisis. Thus, Thucydides describes how the repeated visitations of plague to Athens in 430-426 BC provoked widespread social disorder and the breakdown of civic norms.

‘Men, not knowing what was to become of them, became utterly careless of everything, whether sacred or profane,’ writes Thucydides. ‘All the burial rites before in use were entirely upset and… many had recourse to the most shameless sepulchres.’

As the plague progresses, Thucydides describes how Athenians were swept up in a wave of hedonism and lawlessness, threatening the foundations of Athenian democracy: ‘Men now coolly ventured on what they had formerly done in a corner… fear of gods or law of man there was none to restrain them.’

The resulting crisis, Thucydides claimed, undermined Athenians’ faith in the rule of law and the democratic principles that underpinned the Greek city state, paving the way for the installation of a Spartan oligarchy known as the Thirty Tyrants. Even though the Spartans were later ejected, Athens never regained its confidence.

Covid-19 appears to have engendered a similar crisis in our world, the main difference being in scale. Whereas the crisis Thucydides describes was confined to Athens, the coronavirus pandemic has destabilized governments from Brazil to Belarus, not just that of a 5th century city-state. The political reckoning has been particularly rapid in the United States, where Donald Trump’s inability or unwillingness to check the spread of the coronavirus was a key factor in his recent election defeat. Now, the lockdowns and social distancing measures look set to plunge the world into the worst economic depression since the 1930s, raising the spectre of further political instability.

Given the wide-ranging social, economic and political impacts of Covid-19, it is natural to assume that the same must have been true of past epidemics and pandemics. But is this the case? Do pandemics really have the historical impacts that are often claimed for them or are these claims simply the product of particular narratives and readings of history? …(More)”.