Supercharging Research: Harnessing Artificial Intelligence to Meet Global Challenges

Curated on Posted on by Stefaan Verhulst

Report by the President’s Council of Advisors on Science and Technology (PCAST): “Broadly speaking, scientific advances have historically proceeded via a combination of three paradigms: empirical studies and experimentation; scientific theory and mathematical analyses; and numerical experiments and modeling. In recent years a fourth paradigm, data-driven discovery, has emerged.

These four paradigms complement and support each other. However, all four scientific modalities experience impediments to progress. Verification of a scientific hypothesis through experimentation, careful observation, or via clinical trial can be slow and expensive. The range of candidate theories to consider can be too vast and complex for human scientists to analyze. Truly innovative new hypotheses might only be discovered by fortuitous chance, or by exceptionally insightful researchers. Numerical models can be inaccurate or require enormous amounts of computational resources. Data sets can be incomplete, biased, heterogeneous, or noisy to analyze using traditional data science methods.

AI tools have obvious applications in data-driven science, but it has also been a long-standing aspiration to use these technologies to remove, or at least reduce, many of the obstacles encountered in the other three paradigms. With the current advances in AI, this dream is on the cusp of becoming a reality: candidate solutions to scientific problems are being rapidly identified, complex simulations are being enriched, and robust new ways of analyzing data are being developed.

By combining AI with the other three research modes, the rate of scientific progress will be greatly accelerated, and researchers will be positioned to meet urgent global challenges in a timely manner. Like most technologies, AI is dual use: AI technology can facilitate both beneficial and harmful applications and can cause unintended negative consequences if deployed irresponsibly or without expert and ethical human supervision. Nevertheless, PCAST sees great potential for advances in AI to accelerate science and technology for the benefit of society and the planet. In this report, we provide a high-level vision for how AI, if used responsibly, can transform the way that science is done, expand the boundaries of human knowledge, and enable researchers to find solutions to some of society’s most pressing problems…(More)”

The Battle for Attention

Curated on Posted on by Stefaan Verhulst

Article by Nathan Heller: “…For years, we have heard a litany of reasons why our capacity to pay attention is disturbingly on the wane. Technology—the buzzing, blinking pageant on our screens and in our pockets—hounds us. Modern life, forever quicker and more scattered, drives concentration away. For just as long, concerns of this variety could be put aside. Television was described as a force against attention even in the nineteen-forties. A lot of focussed, worthwhile work has taken place since then.

But alarms of late have grown more urgent. Last year, the Organization for Economic Cooperation and Development reported a huge ten-year decline in reading, math, and science performance among fifteen-year-olds globally, a third of whom cited digital distraction as an issue. Clinical presentations of attention problems have climbed (a recent study of data from the medical-software company Epic found an over-all tripling of A.D.H.D. diagnoses between 2010 and 2022, with the steepest uptick among elementary-school-age children), and college students increasingly struggle to get through books, according to their teachers, many of whom confess to feeling the same way. Film pacing has accelerated, with the average length of a shot decreasing; in music, the mean length of top-performing pop songs declined by more than a minute between 1990 and 2020. A study conducted in 2004 by the psychologist Gloria Mark found that participants kept their attention on a single screen for an average of two and a half minutes before turning it elsewhere. These days, she writes, people can pay attention to one screen for an average of only forty-seven seconds.

“Attention as a category isn’t that salient for younger folks,” Jac Mullen, a writer and a high-school teacher in New Haven, told me recently. “It takes a lot to show that how you pay attention affects the outcome—that if you focus your attention on one thing, rather than dispersing it across many things, the one thing you think is hard will become easier—but that’s a level of instruction I often find myself giving.” It’s not the students’ fault, he thinks; multitasking and its euphemism, “time management,” have become goals across the pedagogic field. The SAT was redesigned this spring to be forty-five minutes shorter, with many reading-comprehension passages trimmed to two or three sentences. Some Ivy League professors report being counselled to switch up what they’re doing every ten minutes or so to avoid falling behind their students’ churn. What appears at first to be a crisis of attention may be a narrowing of the way we interpret its value: an emergency about where—and with what goal—we look.

“In many ways, it’s the oldest question in advertising: how to get attention,” an executive named Joanne Leong told me one afternoon, in a conference room on the thirteenth floor of the midtown office of the Dentsu agency. We were speaking about a new attention market. Slides were projected on the wall, and bits of conversation rattled like half-melted ice cubes in the corridor outside. For decades, what was going on between an advertisement and its viewers was unclear: there was no consensus about what attention was or how to quantify it. “The difference now is that there’s better tech to measure it,” Leong said…(More)”.

The limits of state AI legislation

Curated on Posted on by Stefaan Verhulst

Article by Derek Robertson: “When it comes to regulating artificial intelligence, the action right now is in the states, not Washington.

State legislatures are often, like their counterparts in Europe, contrasted favorably with Congress — willing to take action where their politically paralyzed federal counterpart can’t, or won’t. Right now, every state except Alabama and Wyoming is considering some kind of AI legislation.

But simply acting doesn’t guarantee the best outcome. And today, two consumer advocates warn in POLITICO Magazine that most, if not all, state laws are overlooking crucial loopholes that could shield companies from liability when it comes to harm caused by AI decisions — or from simply being forced to disclose when it’s used in the first place.

Grace Gedye, an AI-focused policy analyst at Consumer Reports, and Matt Scherer, senior policy counsel at the Center for Democracy & Technology, write in an op-ed that while the use of AI systems by employers is screaming out for regulation, many of the efforts in the states are ineffectual at best.

Under the most important state laws now in consideration, they write, “Job applicants, patients, renters and consumers would still have a hard time finding out if discriminatory or error-prone AI was used to help make life-altering decisions about them.”

Transparency around how and when AI systems are deployed — whether in the public or private sector — is a key concern of the growing industry’s watchdogs. The Netherlands’ tax authority infamously immiserated tens of thousands of families by accusing them falsely of child care benefits fraud after an algorithm used to detect it went awry…

One issue: a series of jargon-filled loopholes in many bill texts that says the laws only cover systems “specifically developed” to be “controlling” or “substantial” factors in decision-making.

“Cutting through the jargon, this would mean that companies could completely evade the law simply by putting fine print at the bottom of their technical documentation or marketing materials saying that their product wasn’t designed to be the main reason for a decision and should only be used under human supervision,” they explain…(More)”

People with Lived Experience and Expertise of Homelessness and Data Decision-Making

Curated on Posted on by Stefaan Verhulst

Toolkit by HUD Exchange: “People with lived experience and expertise of homelessness (PLEE) are essential partners for Continuums of Care (CoCs). Creating community models that acknowledge and practice inclusivity, while also valuing the agency of PLEE is essential. CoCs should work together with PLEE to engage in collection, review, analyzation, and use of data to make collaborative decisions impacting their local community.

This toolkit offers suggestions on how PLEE, community partners, and CoCs can partner on data projects and additional local data decision-making efforts. It includes resources on partnership practices, compensation, and training…(More)”

What is ‘lived experience’?

Curated on Posted on by Stefaan Verhulst

Article by Patrick J Casey: “Everywhere you turn, there is talk of lived experience. But there is little consensus about what the phrase ‘lived experience’ means, where it came from, and whether it has any value. Although long used by academics, it has become ubiquitous, leaping out of the ivory tower and showing up in activism, government, consulting, as well as popular culture. The Lived Experience Leaders Movement explains that those who have lived experiences have ‘[d]irect, first-hand experience, past or present, of a social issue(s) and/or injustice(s)’. A recent brief from the US Department of Health and Human Services suggests that those who have lived experience have ‘valuable and unique expertise’ that should be consulted in policy work, since engaging those with ‘knowledge based on [their] perspective, personal identities, and history’ can ‘help break down power dynamics’ and advance equity. A search of Twitter reveals a constant stream of use, from assertions like ‘Your research doesn’t override my lived experience,’ to ‘I’m pretty sure you’re not allowed to question someone’s lived experience.’

A recurring theme is a connection between lived experience and identity. A recent nominee for the US Secretary of Labor, Julie Su, is lauded as someone who will ‘bring her lived experience as a daughter of immigrants, a woman of color, and an Asian American to the role’. The Human Rights Campaign asserts that ‘[l]aws and legislation must reflect the lived experiences of LGBTQ people’. An editorial in Nature Mental Health notes that incorporation of ‘people with lived experience’ has ‘taken on the status of a movement’ in the field.

Carried a step further, the notion of lived experience is bound up with what is often called identity politics, as when one claims to be speaking from the standpoint of an identity group – ‘in my lived experience as a…’ or, simply, ‘speaking as a…’ Here, lived experience is often invoked to establish authority and prompt deference from others since, purportedly, only members of a shared identity know what it’s like to have certain kinds of experience or to be a member of that group. Outsiders sense that they shouldn’t criticise what is said because, grounded in lived experience, ‘people’s spoken truths are, in and of themselves, truths.’ Criticism of lived experience might be taken to invalidate or dehumanise others or make them feel unsafe.

So, what is lived experience? Where did it come from? And what does it have to do with identity politics?…(More)”.

The economic research policymakers actually need

Curated on Posted on by Stefaan Verhulst

Blog by Jed Kolko: “…The structure of academia just isn’t set up to produce the kind of research many policymakers need. Instead, top academic journal editors and tenure committees reward research that pushes the boundaries of the discipline and makes new theoretical or empirical contributions. And most academic papers presume familiarity with the relevant academic literature, making it difficult for anyone outside of academia to make the best possible use of them.

The most useful research often came instead from regional Federal Reserve banks, non-partisan think-tanks, the corporate sector, and from academics who had the support, freedom, or job security to prioritize policy relevance. It generally fell into three categories:

  1. New measures of the economy
  2. Broad literature reviews
  3. Analyses that directly quantify or simulate policy decisions.

If you’re an economic researcher and you want to do work that is actually helpful for policymakers — and increases economists’ influence in government — aim for one of those three buckets.

The pandemic and its aftermath brought an urgent need for data at higher frequency, with greater geographic and sectoral detail, and about ways the economy suddenly changed. Some of the most useful research contributions during that period were new data and measures of the economy: they were valuable as ingredients rather than as recipes or finished meals. Here are some examples:

Technological Progress and Rent Seeking

Curated on Posted on by Stefaan Verhulst

Paper by Vincent Glode & Guillermo Ordoñez: “We model firms’ allocation of resources across surplus-creating (i.e., productive) and surplus-appropriating (i.e., rent-seeking) activities. Our model predicts that industry-wide technological advancements, such as recent progress in data collection and processing, induce a disproportionate and socially inefficient reallocation of resources toward surplus-appropriating activities. As technology improves, firms rely more on appropriation to obtain their profits, endogenously reducing the impact of technological progress on economic progress and inflating the price of the resources used for both types of activities. We apply our theoretical insights to shed light on the rise of high-frequency trading…(More)”,

The CFPB wants to rein in data brokers

Curated on Posted on by Stefaan Verhulst

Article by Gaby Del Valle: “The Consumer Financial Protection Bureau wants to propose new regulations that would require data brokers to comply with the Fair Credit Reporting Act. In a speech at the White House earlier this month, CFPB Director Rohit Chopra said the agency is looking into policies to “ensure greater accountability” for companies that buy and sell consumer data, in keeping with an executive order President Joe Biden issued in late February.

Chopra said the agency is considering proposals that would define data brokers that sell certain types of data as “consumer reporting agencies,” thereby requiring those companies to comply with the Fair Credit Reporting Act (FCRA). The statute bans sharing certain kinds of data (e.g., your credit report) with entities unless they serve a specific purpose outlined in the law (e.g., if the report is used for employment purposes or to extend a line of credit to someone).

The CFBP views the buying and selling of consumer data as a national security issue, not just a matter of privacy. Chopra mentioned three massive data breaches — the 2015 Anthem leak, the 2017 Equifax hack, and the 2018 Marriott breach — as examples of foreign adversaries illicitly obtaining Americans’ personal data. “When Americans’ health information, financial information, and even their travel whereabouts can be assembled into detailed dossiers, it’s no surprise that this raises risks when it comes to safety and security,” Chopra said. But the focus on high-profile hacks obscures a more pervasive, totally legal phenomenon: data brokers’ ability to sell detailed personal information to anyone who’s willing to pay for it…(More)”.

Social Movements and Public Opinion in the United States

Curated on Posted on by Stefaan Verhulst

Paper by Amory Gethin & Vincent Pons: “Recent social movements stand out by their spontaneous nature and lack of stable leadership, raising doubts on their ability to generate political change. This article provides systematic evidence on the effects of protests on public opinion and political attitudes. Drawing on a database covering the quasi-universe of protests held in the United States, we identify 14 social movements that took place from 2017 to 2022, covering topics related to environmental protection, gender equality, gun control, immigration, national and international politics, and racial issues. We use Twitter data, Google search volumes, and high-frequency surveys to track the evolution of online interest, policy views, and vote intentions before and after the outset of each movement. Combining national-level event studies with difference-in-differences designs exploiting variation in local protest intensity, we find that protests generate substantial internet activity but have limited effects on political attitudes. Except for the Black Lives Matter protests following the death of George Floyd, which shifted views on racial discrimination and increased votes for the Democrats, we estimate precise null effects of protests on public opinion and electoral behavior…(More)”.

New Jersey is turning to AI to improve the job search process

Curated on Posted on by Stefaan Verhulst

Article by Beth Simone Noveck: “Americans are experiencing some conflicting feelings about AI.

While people are flocking to new roles like prompt engineer and AI ethicist, the technology is also predicted to put many jobs at risk, including computer programmers, data scientists, graphic designers, writers, lawyers.

Little wonder, then, that a national survey by the Heldrich Center for Workforce Development found an overwhelming majority of Americans (66%) believe that they “will need more technological skills to achieve their career goals.” One thing is certain: Workers will need to train for change. And in a world of misinformation-filled social media platforms, it is increasingly important for trusted public institutions to provide reliable, data-driven resources.

In New Jersey, we’ve tried doing just that by collaborating with workers, including many with disabilities, to design technology that will support better decision-making around training and career change. Investing in similar public AI-powered tools could help support better consumer choice across various domains. When a public entity designs, controls and implements AI, there is a far greater likelihood that this powerful technology will be used for good.

In New Jersey, the public can find reliable, independent, unbiased information about training and upskilling on the state’s new MyCareer website, which uses AI to make personalized recommendations about your career prospects, and the training you will need to be ready for a high-growth, in-demand job…(More)”.