Sector: education

Leveraging the disruptive power of artificial intelligence for fairer opportunities

Curated on Posted on by Stefaan Verhulst

Makada Henry-Nickie at Brookings: “According to President Obama’s Council of Economic Advisers (CEA), approximately 3.1 million jobs will be rendered obsolete or permanently altered as a consequence of artificial intelligence technologies. Artificial intelligence (AI) will, for the foreseeable future, have a significant disruptive impact on jobs. That said, this disruption can create new opportunities if policymakers choose to harness them—including some with the potential to help address long-standing social inequities. Investing in quality training programs that deliver premium skills, such as computational analysis and cognitive thinking, provides a real opportunity to leverage AI’s disruptive power.

AI’s disruption presents a clear challenge: competition to traditional skilled workers arising from the cross-relevance of data scientists and code engineers, who can adapt quickly to new contexts. Data analytics has become an indispensable feature of successful companies across all industries. ….

Investing in high-quality education and training programs is one way that policymakers proactively attempt to address the workforce challenges presented by artificial intelligence. It is essential that we make affirmative, inclusive choices to ensure that marginalized communities participate equitably in these opportunities.

Policymakers should prioritize understanding the demographics of those most likely to lose jobs in the short-run. As opposed to obsessively assembling case studies, we need to proactively identify policy entrepreneurs who can conceive of training policies that equip workers with technical skills of “long-game” relevance. As IBM points out, “[d]ata democratization impacts every career path, so academia must strive to make data literacy an option, if not a requirement, for every student in any field of study.”

Machines are an equal opportunity displacer, blind to color and socioeconomic status. Effective policy responses require collaborative data collection and coordination among key stakeholders—policymakers, employers, and educational institutions—to  identify at-risk worker groups and to inform workforce development strategies. Machine substitution is purely an efficiency game in which workers overwhelmingly lose. Nevertheless, we can blunt these effects by identifying critical leverage points….

Policymakers can choose to harness AI’s disruptive power to address workforce challenges and redesign fair access to opportunity simultaneously. We should train our collective energies on identifying practical policies that update our current agrarian-based education model, which unfairly disadvantages children from economically segregated neighborhoods…(More)”

Participatory Grant Making: Has its Time Come?

Curated on Posted on by Stefaan Verhulst

Paper by Cynthia Gibson for the Ford Foundation: “…During the past decade, all sectors of society have faced heightened demand for greater accountability and transparency. People have become more distrustful of established institutions, they are demanding more information about issues and decisions afecting them and their families and communities, and they want more voice in decision-making processes. Technological innovation also has created new possibilities — and new pressures — for organizations and institutions to become more democratic by involving the public in their work.

Philanthropy is not immune from these trends. While for decades, philanthropy was seen as endowed foundations set up by the rich, recent years have seen a surge in crowdfunding, giving circles, donor-advised funds, and a panoply of digital giving platforms that allow anyone to be a philanthropist. Alongside these, traditions of giving from within communities that existed long before philanthropy became professionalized have become more prominent.

Philanthropy and other felds also are being reshaped by the attitudes and capacities of a new generation of young people who have grown up with the Internet and embrace its culture of transparency and bottom-up action. Additionally, there is a growing awareness that many public challenges are exceedingly complex and won’t respond to one-shot solutions from experts or institutions working on their own.

These and other trends refect a backlash against the “establishment” occurring in politics, higher education, the media, and other felds in which elite interests are perceived to have drowned out the concerns of ordinary people. Americans of all stripes and political persuasions have come to believe they have little say in guiding public decisions and improving the health and well-being of their communities..

This paper assesses the embrace of participatory approaches to date by philanthropy and other felds. In assessing philanthropy’s record, the paper fnds examples of individual foundations and networks of funders that are experimenting with participatory approaches. It also, however, fnds that there is a great deal of talk about participation in the feld but comparatively little commitment to integrating these practices into foundations’ strategies and activities, and especially their cultures, over the long term…(More)”.

Participatory Budgeting: Does Evidence Match Enthusiasm?

Curated on Posted on by Stefaan Verhulst

Brian Wampler, Stephanie McNulty, and Michael Touchton at Open Government Partnership: “Participatory budgeting (PB) empowers citizens to allocate portions of public budgets in a way that best fits the needs of the people. In turn, proponents expect PB to improve citizens’ lives in important ways, by expanding their participation in politics, providing better public services such as in healthcare, sanitation, or education, and giving them a sense of efficacy.

Below we outline several potential outcomes that emerge from PB. Of course, assessing PB’s potential impact is difficult, because reliable data is rare and PB is often one of several programs that could generate similar improvements at the same time. Impact evaluations for PB are thus at a very early stage. Nevertheless, considerable case study evidence and some broader, comparative studies point to outcomes in the following areas:

Citizens’ attitudes: Early research focused on the attitudes of citizens who participate in PB, and found that PB participants feel empowered, support democracy, view the government as more effective, and better understand budget and government processes after participating (Wampler and Avritzer 2004; Baiocchi 2005; Wampler 2007).

Participants’ behavior: Case-study evidence shows that PB participants increase their political participation beyond PB and join civil society groups. Many scholars also expect PB to strengthen civil society by increasing its density (number of groups), expanding its range of activities, and brokering new partnerships with government and other CSOs. There is some case study evidence that this occurs (Baiocchi 2005; McNulty 2011; Baiocchi, Heller and Silva 2011; Van Cott 2008) as well as evidence from over 100 PB programs across Brazil’s larger municipalities (Touchton and Wampler 2014). Proponents also expect PB to educate government officials surrounding community needs, to increase their support for participatory processes, and to potentially expand participatory processes in complementary areas. Early reports from five counties in Kenya suggest that PB ther is producing at least some of these impacts.

Electoral politics and governance: PB can also promote social change, which may alter local political calculations and the ways that governments operate. PB may deliver votes to the elected officials that sponsor it, improve budget transparency and resource allocation, decrease waste and fraud, and generally improve accountability. However, there is very little evidence in this area because few studies have been able to measure these impacts in any direct way.

Social well-being: Finally, PB is designed to improve residents’ well-being. Implemented PB projects include funding for healthcare centers, sewage lines, schools, wells, and other areas that contribute directly to well-being. These effects may take years to appear, but recent studies attribute improvements in infant mortality in Brazil to PB (Touchton and Wampler 2014; Gonçalves 2014). Beyond infant mortality, the range of potential impacts extends to other health areas, sanitation, education, and poverty in general. We are cautious here because results from Brazil might not appear elsewhere: what works in urban Brazil might not in rural Indonesia….(More)”.

Augmented CI and Human-Driven AI: How the Intersection of Artificial Intelligence and Collective Intelligence Could Enhance Their Impact on Society

Curated on Posted on by Stefaan Verhulst

Blog by Stefaan Verhulst: “As the technology, research and policy communities continue to seek new ways to improve governance and solve public problems, two new types of assets are occupying increasing importance: data and people. Leveraging data and people’s expertise in new ways offers a path forward for smarter decisions, more innovative policymaking, and more accountability in governance. Yet, unlocking the value of these two assets not only requires increased availability and accessibility (through, for instance, open data or open innovation), it also requires innovation in methodology and technology.

The first of these innovations involves Artificial Intelligence (AI). AI offers unprecedented abilities to quickly process vast quantities of data that can provide data-driven insights to address public needs. This is the role it has for example played in New York City, where FireCast, leverages data from across the city government to help the Fire Department identify buildings with the highest fire risks. AI is also considered to improve education, urban transportation,  humanitarian aid and combat corruption, among other sectors and challenges.

The second area is Collective Intelligence (CI). Although it receives less attention than AI, CI offers similar potential breakthroughs in changing how we govern, primarily by creating a means for tapping into the “wisdom of the crowd” and allowing groups to create better solutions than even the smartest experts working in isolation could ever hope to achieve. For example, in several countries patients’ groups are coming together to create new knowledge and health treatments based on their experiences and accumulated expertise. Similarly, scientists are engaging citizens in new ways to tap into their expertise or skills, generating citizen science – ranging from mapping our solar system to manipulating enzyme models in a game-like fashion.

Neither AI nor CI offer panaceas for all our ills; they each pose certain challenges, and even risks.  The effectiveness and accuracy of AI relies substantially on the quality of the underlying data as well as the human-designed algorithms used to analyse that data. Among other challenges, it is becoming increasingly clear how biases against minorities and other vulnerable populations can be built into these algorithms. For instance, some AI-driven platforms for predicting criminal recidivism significantly over-estimate the likelihood that black defendants will commit additional crimes in comparison to white counterparts. (for more examples, see our reading list on algorithmic scrutiny).

In theory, CI avoids some of the risks of bias and exclusion because it is specifically designed to bring more voices into a conversation. But ensuring that that multiplicity of voices adds value, not just noise, can be an operational and ethical challenge. As it stands, identifying the signal in the noise in CI initiatives can be time-consuming and resource intensive, especially for smaller organizations or groups lacking resources or technical skills.

Despite these challenges, however, there exists a significant degree of optimism  surrounding both these new approaches to problem solving. Some of this is hype, but some of it is merited—CI and AI do offer very real potential, and the task facing both policymakers, practitioners and researchers is to find ways of harnessing that potential in a way that maximizes benefits while limiting possible harms.

In what follows, I argue that the solution to the challenge described above may involve a greater interaction between AI and CI. These two areas of innovation have largely evolved and been researched separately until now. However, I believe that there is substantial scope for integration, and mutual reinforcement. It is when harnessed together, as complementary methods and approaches, that AI and CI can bring the full weight of technological progress and modern data analytics to bear on our most complex, pressing problems.

To deconstruct that statement, I propose three premises (and subsequent set of research questions) toward establishing a necessary research agenda on the intersection of AI and CI that can build more inclusive and effective approaches to governance innovation.

Premise I: Toward Augmented Collective Intelligence: AI will enable CI to scale

Premise II: Toward Human-Driven Artificial Intelligence: CI will humanize AI

Premise III: Open Governance will drive a blurring between AI and CI

…(More)”.

Globally, Broad Support for Representative and Direct Democracy

Curated on Posted on by Stefaan Verhulst

Pew Global: “A deepening anxiety about the future of democracy around the world has spread over the past few years. Emboldened autocrats and rising populists have shaken assumptions about the future trajectory of liberal democracy, both in nations where it has yet to flourish and countries where it seemed strongly entrenched. Scholars have documented a global “democratic recession,” and some now warn that even long-established “consolidated” democracies could lose their commitment to freedom and slip toward more authoritarian politics.

A 38-nation Pew Research Center survey finds there are reasons for calm as well as concern when it comes to democracy’s future. More than half in each of the nations polled consider representative democracy a very or somewhat good way to govern their country. Yet, in all countries, pro-democracy attitudes coexist, to varying degrees, with openness to nondemocratic forms of governance, including rule by experts, a strong leader or the military.

A number of factors affect the depth of the public’s commitment to representative democracy over nondemocratic options. People in wealthier nations and in those that have more fully democratic systems tend to be more committed to representative democracy. And in many nations, people with less education, those who are on the ideological right and those who are dissatisfied with the way democracy is currently working in their country are more willing to consider nondemocratic alternatives.

At the same time, majorities in nearly all nations also embrace another form of democracy that places less emphasis on elected representatives. A global median of 66% say direct democracy – in which citizens, rather than elected officials, vote on major issues – would be a good way to govern. This idea is especially popular among Western European populists….(More)”

“Nudge units” – where they came from and what they can do

Curated on Posted on by Stefaan Verhulst

Zeina Afif at the Worldbank: “You could say that the first one began in 2009, when the US government recruited Cass Sunstein to head The Office of Information and Regulatory Affairs (OIRA) to streamline regulations. In 2010, the UK established the first Behavioural Insights Unit (BIT) on a trial basis, under the Cabinet Office. Other countries followed suit, including the US, Australia, Canada, Netherlands, and Germany. Shortly after, countries such as India, Indonesia, Peru, Singapore, and many others started exploring the application of behavioral insights to their policies and programs. International institutions such as the World Bank, UN agencies, OECD, and EU have also established behavioral insights units to support their programs. And just this month, the Sustainable Energy Authority of Ireland launched its own Behavioral Economics Unit.

The Future
As eMBeD, the behavioral science unit at the World Bank, continues to support governments across the globe in the implementation of their units, here are some common questions we often get asked.

What are the models for a Behavioral Insights Unit in Government?
As of today, over a dozen countries have integrated behavioral insights with their operations. While there is not one model to prescribe, the setup varies from centralized or decentralized to networked….

In some countries, the units were first established at the ministerial level. One example is MineduLab in Peru, which was set up with eMBeD’s help. The unit works as an innovation lab, testing rigorous and leading research in education and behavioral science to address issues such as teacher absenteeism and motivation, parents’ engagement, and student performance….

What should be the structure of the team?
Most units start with two to four full-time staff. Profiles include policy advisors, social psychologists, experimental economists, and behavioral scientists. Experience in the public sector is essential to navigate the government and build support. It is also important to have staff familiar with designing and running experiments. Other important skills include psychology, social psychology, anthropology, design thinking, and marketing. While these skills are not always readily available in the public sector, it is important to note that all behavioral insights units partnered with academics and experts in the field.

The U.S. team, originally called the Social and Behavioral Sciences Team, is staffed mostly by seconded academic faculty, researchers, and other departmental staff. MineduLab in Peru partnered with leading experts, including the Abdul Latif Jameel Poverty Action Lab (J-PAL), Fortalecimiento de la Gestión de la Educación (FORGE), Innovations for Poverty Action (IPA), and the World Bank….(More)”

Reboot for the AI revolution

Curated on Posted on by Stefaan Verhulst

Yuval Noah Harari in Nature: “The ongoing artificial-intelligence revolution will change almost every line of work, creating enormous social and economic opportunities — and challenges. Some believe that intelligent computers will push humans out of the job market and create a new ‘useless class’; others maintain that automation will generate a wide range of new human jobs and greater prosperity for all. Almost everybody agrees that we should take action to prevent the worst-case scenarios….

Governments might decide to deliberately slow down the pace of automation, to lessen the resulting shocks and allow time for readjustments. But it will probably be both impossible and undesirable to prevent automation and job loss completely. That would mean giving up the immense positive potential of AI and robotics. If self-driving vehicles drive more safely and cheaply than humans, it would be counterproductive to ban them just to protect the jobs of taxi and lorry drivers.

A more sensible strategy is to create new jobs. In particular, as routine jobs are automated, opportunities for new non-routine jobs will mushroom. For example, general physicians who focus on diagnosing known diseases and administering familiar treatments will probably be replaced by AI doctors. Precisely because of that, there will be more money to pay human experts to do groundbreaking medical research, develop new medications and pioneer innovative surgical techniques.

This calls for economic entrepreneurship and legal dexterity. Above all, it necessitates a revolution in education…Creating new jobs might prove easier than retraining people to fill them. A huge useless class might appear, owing to both an absolute lack of jobs and a lack of relevant education and mental flexibility….

With insights gleaned from early warning signs and test cases, scholars should strive to develop new socio-economic models. The old ones no longer hold. For example, twentieth-century socialism assumed that the working class was crucial to the economy, and socialist thinkers tried to teach the proletariat how to translate its immense economic power into political clout. In the twenty-first century, if the masses lose their economic value they might have to struggle against irrelevance rather than exploitation….The challenges posed in the twenty-first century by the merger of infotech and biotech are arguably bigger than those thrown up by steam engines, railways, electricity and fossil fuels. Given the immense destructive power of our modern civilization, we cannot afford more failed models, world wars and bloody revolutions. We have to do better this time….(More)”

Open mapping from the ground up: learning from Map Kibera

Curated on Posted on by Stefaan Verhulst

Report by Erica Hagen for Making All Voices Count: “In Nairobi in 2009, 13 young residents of the informal settlement of Kibera mapped their community using OpenStreetMap, an online mapping platform. This was the start of Map Kibera, and eight years of ongoing work to date on digital mapping, citizen media and open data. In this paper, Erica Hagen – one of the initiators of Map Kibera – reflects on the trajectory of this work. Through research interviews with Map Kibera staff, participants and clients, and users of the data and maps the project has produced, she digs into what it means for citizens to map their communities, and examines the impact of open local information on members of the community. The paper begins by situating the research and Map Kibera in selected literature on transparency, accountability and mapping. It then presents three case studies of mapping in Kibera – in the education, security and water sectors – discussing evidence about the effects not only on project participants, but also on governmental and non-governmental actors in each of the three sectors. It concludes that open, community-based data collection can lead to greater trust, which is sorely lacking in marginalised places. In large-scale data gathering, it is often unclear to those involved why the data is needed or what will be done with it. But the experience of Map Kibera shows that by starting from the ground up and sharing open data widely, it is possible to achieve strong sector-wide ramifications beyond the scope of the initial project, including increased resources and targeting by government and NGOs. While debates continue over the best way to truly engage citizens in the ‘data revolution’ and tracking the Sustainable Development Goals, the research here shows that engaging people fully in the information value chain can be the missing link between data as a measurement tool, and information having an impact on social development….(More)”.

what3words

Curated on Posted on by Stefaan Verhulst

what3words: “Street addresses worldwide are inaccurate, unreliable and don’t exist at all in many places. Poor addressing is expensive and frustrating, hampers economic growth and development, restricts social mobility and affects lives.

Inaccurate addressing limits businesses and frustrates customers

Street addresses can usually identify a building, but aren’t accurate enough to help a courier or taxi driver find the correct entrance. This results in delayed or failed deliveries, and numerous ‘where are you’ phone calls.

There’s no human-friendly way to give a location to a machine

As personal devices, autonomous vehicles and the IoT streamline the way we live, we have an increasing need to communicate very accurate location. Addresses are too broad to direct a drone or an autonomous car, whilst GPS coordinates are complicated and prone to input mistakes.

Billions of people worldwide have no reliable address at all

Without an address, people struggle to access health and education services, register land and vote. Many of these people live in rapidly expanding cities, or informal settlements….

what3words is the simplest way to talk about any precise location. Our system has divided the world into a grid of 3m x 3m squares and assigned each one a unique address made of just 3 words. Now everyone and everywhere has a reliable address….(More)”.

Paraguay’s transparency alchemists

Curated on Posted on by Stefaan Verhulst

Story by the Open Contracting Partnership: “….The “Cocido de oro” scandal is seen as part of a well-organized and well-informed youth movement that has sprung up in Paraguay in recent years. An equally dramatic controversyinvolving alleged corruption and unfair staff appointments at one of the country’s top public universities led to the resignation of the Chancellor and other senior staff in September 2015. Mostly high school and university students, they are no longer willing to tolerate the waste and corruption in public spending — a hangover from 35 years of authoritarian rule. They expect their government to be more open and accountable, and public decision-making processes to be more inclusive and democratic.

Thanks to government initiatives that have sought to give citizens greater access to information about public institutions, these students, along with investigative journalists and other civil society groups, are starting to engage actively in civic affairs. And they are data-savvy, basing recommendations on empirical evidence about government policies and processes, how they are implemented, and whether they are working.

Leading the pack is the country’s public procurement office, which runs a portal that ranks among the most open government data sources in the world. Together with information about budgets, public bodies’ payrolls, and other government data, this is helping Paraguayans to tackle some of the biggest long-standing problems faced by the government, like graft, overpricing, nepotism and influence-peddling….

The government recognizes there’s still a long way to go in their quest to open up public data. Few institutions have opened their databases or publish their data on an open data portal, and use of the data that has been published is still limited, according to a report on the country’s third OGP Action Plan. Priority data sets aren’t accessible in ways that meet the needs of civil society, the report adds.

And yet, the tremors of a tectonic shift in transparency and accountability in Paraguay are already being felt. In a short time, armed with access to information, citizens have started engaging with how public money is and should be spent.

The government is now doubling down on its strategy of fostering public participation, using cutting-edge technology to increase citizens’ access to data about their state institutions. Health, education, and municipal-level government, and procurement spending across these areas are being prioritized….(More).

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