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


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)”.

The UN is using ethereum’s technology to fund food for thousands of refugees


Joon Ian Wong at Quartz: “The United Nations agency in charge of food aid—often billed as the largest aid organization in the world—is betting that an ethereum-based blockchain technology could be the key to delivering aid efficiently to refugees while slashing the costs of doing so.

The agency, known as the World Food Programme (WFP), is the rare example of an organization that has delivered tangible results from its blockchain experiments—unlike the big banks that have experimented with the technology for years.

The WFP says it has transferred $1.4 million in food vouchers to 10,500 Syrian refugees in Jordan since May, and it plans to expand. “We need to bring the project from the current capacity to many, many, more,” says Houman Haddad, the WFP executive leading the project. “By that I mean 1 million transactions per day.”

Haddad, in Mexico to speak at the Ethereum Foundation’s annual developer conference, hopes to expand the UN project, called Building Blocks, from providing payment vouchers for one camp to providing vouchers for four camps, covering 100,000 people, by next January. He hopes to attract developers and partners to the UN project from his conference appearance, organized by the foundation, which acts as a steward for the technical development of the ethereum protocol….

The problem of internal bureaucratic warfare, of course, isn’t limited to the UN. Paul Currion, who co-founded Disberse, another blockchain-based aid delivery platform, lauds the speediness of the WFP effort. “It’s fantastic for proving this can work in the field,” he says. But “we’ve found that the hard work is integrating blockchain technology into existing organizational processes—we can’t just hand people a ticket and expect them to get on the high-speed blockchain train; we also need to drive with them to the station,” he says….(More)”.

 

Out of the Syrian crisis, a data revolution takes shape


Amy Maxmen in Nature: “…Whenever war, hurricanes or other disasters ravage part of the globe, one of the biggest problems for aid organizations is a lack of reliable data. People die because front-line responders don’t have the information they need to act efficiently. Doctors and epidemiologists plod along with paper surveys and rigid databases in crisis situations, watching with envy as tech companies expertly mine big data for comparatively mundane purposes.

Three years ago, one frustrated first-responder decided to do something about it. The result is an innovative piece of software called the Dharma Platform, which almost anyone can use to rapidly collect information and share, analyse and visualize it so that they can act quickly. And although public-health veterans tend to be sceptical of technological fixes, Dharma is winning fans. MSF and other organizations now use it in 22 countries. And so far, the Rise Fund, a ‘global impact fund’ whose board boasts U2 lead singer Bono, has invested US$14.3 million in the company behind it.

“I think Dharma is special because it has been developed by people who have worked in these chaotic situations,” says Jeremy Farrar, director of biomedical-funding charity the Wellcome Trust in London, “and it’s been road-tested and improved in the midst of reality.”

Now, the ultimate trial is in Syria: Salim, whose name has been changed in this story to protect him, started entering patient records into the Dharma Platform in March, and he is looking at health trends even as he shares his data securely with MSF staff in Amman.

It’s too soon to say that Dharma has transformed his hospital. And some aid organizations and governments may be reluctant to adopt it. But Aziz, who has deployed Dharma in Iraq, Syria, Jordan and Turkey, is confident that it will usher in a wave of platforms that accelerate evidence-based responses in emergencies, or even in health care generally. “This is like the first version of the iPhone or Yahoo! Messenger,” he says. “Maybe something better will come along, but this is the direction we’re going in.”…(More)”

Creative campaign helps earthquake victims


Springwise: “There were many offers of help after the shocking earthquake in Mexico on 19th September, but two creative directors from Mexico City agency Anonimo decided to do something a bit different. They created Arriba Mexico (which roughly translates as Up With Mexico), a website that initially looks very similar to a home rental site such as Airbnb, but rather than paying to stay in the home, the money paid actually goes directly to help those affected.

The site lists a number of properties destroyed in the earthquake, along with a description and photographs. Titles like ‘Rent a Loft in the Roma Neighborhood’ and ‘Stay in a Room in the Heart of Chiapas’ lead through to a description of the property and the price per night’s stay – which the site naturally informs is a symbolic stay. The user picks the property and the number of nights they’d like to stay for, and the total figure is their donation. 100 percent of the money raised goes directly to CADENA, a disaster relief charity. Some of the money was spent on shelters to provide temporary accommodation, while the eventual aim is to use the remaining funds to rebuild homes in the most heavily damaged areas of Mexico City, Puebla, Oaxaca and Chiapas. At the time of writing, the total money donated was just over USD 473,500. Over 350 died in the earthquake, which registered 8.1 on the Richter scale. Many organizations, governments and charities from all over the world have donated money and time to help the people of Mexico rebuild their lives.

Many innovators and companies are working hard to help those effected by natural disasters. One company in India has produced a modular home that’s built to withstand earthquakes, and MyShake is an app that helps people prepare for earthquakes….(More)”.

Linux Foundation Debuts Community Data License Agreement


Press Release: “The Linux Foundation, the nonprofit advancing professional open source management for mass collaboration, today announced the Community Data License Agreement(CDLA) family of open data agreements. In an era of expansive and often underused data, the CDLA licenses are an effort to define a licensing framework to support collaborative communities built around curating and sharing “open” data.

Inspired by the collaborative software development models of open source software, the CDLA licenses are designed to enable individuals and organizations of all types to share data as easily as they currently share open source software code. Soundly drafted licensing models can help people form communities to assemble, curate and maintain vast amounts of data, measured in petabytes and exabytes, to bring new value to communities of all types, to build new business opportunities and to power new applications that promise to enhance safety and services.

The growth of big data analytics, machine learning and artificial intelligence (AI) technologies has allowed people to extract unprecedented levels of insight from data. Now the challenge is to assemble the critical mass of data for those tools to analyze. The CDLA licenses are designed to help governments, academic institutions, businesses and other organizations open up and share data, with the goal of creating communities that curate and share data openly.

For instance, if automakers, suppliers and civil infrastructure services can share data, they may be able to improve safety, decrease energy consumption and improve predictive maintenance. Self-driving cars are heavily dependent on AI systems for navigation, and need massive volumes of data to function properly. Once on the road, they can generate nearly a gigabyte of data every second. For the average car, that means two petabytes of sensor, audio, video and other data each year.

Similarly, climate modeling can integrate measurements captured by government agencies with simulation data from other organizations and then use machine learning systems to look for patterns in the information. It’s estimated that a single model can yield a petabyte of data, a volume that challenges standard computer algorithms, but is useful for machine learning systems. This knowledge may help improve agriculture or aid in studying extreme weather patterns.

And if government agencies share aggregated data on building permits, school enrollment figures, sewer and water usage, their citizens benefit from the ability of commercial entities to anticipate their future needs and respond with infrastructure and facilities that arrive in anticipation of citizens’ demands.

“An open data license is essential for the frictionless sharing of the data that powers both critical technologies and societal benefits,” said Jim Zemlin, Executive Director of The Linux Foundation. “The success of open source software provides a powerful example of what can be accomplished when people come together around a resource and advance it for the common good. The CDLA licenses are a key step in that direction and will encourage the continued growth of applications and infrastructure.”…(More)”.

When Cartography Meets Disaster Relief


Mimi Kirk at CityLab: “Almost three weeks after Hurricane Maria hit Puerto Rico, the island is in a grim state. Fewer than 15 percent of residents have power, and much of the island has no clean drinking water. Delivery of food and other necessities, especially to remote areas, has been hampered by a variety of ills, including a lack of cellular service, washed-out roads, additional rainfall, and what analysts and Puerto Ricans say is a slow and insufficient response from the U.S. government.

Another issue slowing recovery? Maps—or lack of them. While pre-Maria maps of Puerto Rico were fairly complete, their level of detail was nowhere near that of other parts of the United States. Platforms such as Google Maps are more comprehensive on the mainland than on the island, explains Juan Saldarriaga, a research scholar at the Center for Spatial Research at Columbia University. This is because companies like Google often create maps for financial reasons, selling them to advertisers or as navigation devices, so areas that have less economic activity are given less attention.

This lack of detail impedes recovery efforts: Without basic information on the location of buildings, for instance, rescue workers don’t know how many people were living in an area before the hurricane struck—and thus how much aid is needed.

Crowdsourced mapping can help. Saldarriaga recently organized a “mapathon” at Columbia, in which volunteers examined satellite imagery of Puerto Rico and added missing buildings, roads, bridges, and other landmarks in the open-source platform OpenStreetMap. While some universities and other groups are hosting similar events, anyone with an internet connection and computer can participate.

Saldarriaga and his co-organizers collaborated with Humanitarian OpenStreetMap Team (HOT), a nonprofit that works to create crowdsourced maps for aid and development work. Volunteers like Saldarriaga largely drive HOT’s “crisis mapping” projects, the first of which occurred in 2010 after Haiti’s earthquake…(More)”.

A Rights-based Approach to Information in Humanitarian Assistance


Paper by Daniel P. ScarnecchiaNathaniel A. RaymondFaine GreenwoodCaitlin Howarth and Danielle N. Poole: “Crisis-affected populations and humanitarian aid providers are both becoming increasingly reliant on information and communications technology (ICTs) for finding and provisioning aid. This is exposing critical, unaddressed gaps in the legal and ethical frameworks that traditionally defined and governed the professional conduct of humanitarian action. The most acute of these gaps is a lack of clarity about what human rights people have regarding information in disaster, and the corresponding obligations incumbent upon governments and aid providers.  This need is lent urgency by emerging evidence demonstrating that the use of these technologies in crisis response may be, in some cases, causing harm to the very populations they intend to serve.  Preventing and mitigating these harms, while also working to responsibly ensure access to the benefits of information during crises, requires a rights-based framework to guide humanitarian operations. In this brief report, we provide a commentary that accompanies our report, the Signal Code: A Human Rights Approach to Information During Crisis, where we have identified five rights pertaining to the use of information and data during crisis which are grounded in current international human rights and customary law. It is our belief that the continued relevance of the humanitarian project, as it grows increasingly dependent on the use of data and ICTs, urgently requires a discussion of these rights and corresponding obligations….(More)”.

Disaster recovery’s essential tool: Data


Amy Liu and Allison Plyer at Brookings: “To recover from a disaster on the scale of Harvey and Irma requires a massive coordinated effort. Federal, state and local governments must lead. Philanthropy, nonprofits and the private sector will be key partners. Residents will voice their views, through community planning meetings and other venues, on how best to spend disaster-recovery dollars. With so many stakeholders and rebuilding needs, the process of restoring neighborhoods and economic activity will become emotionally and politically charged. As Brock Long, administrator of the Federal Emergency Management Agency, has already warned in Texas: “This is going to be a frustrating and painful process.”

For public officials to effectively steer a recovery process and for citizens to trust in the effort, reliable, transparent information will be essential. Leaders and the public need a shared understanding of the scale and extent of the damage and which households, businesses and neighborhoods have been affected. This is not a one-time effort. Data must be collected and issued regularly over months and years to match the duration of the rebuilding effort.

Without this information, it will be nearly impossible to estimate the nature of aid required, determine how best to deploy resources, prioritize spending and monitor progress. Rebuilding processes are chaotic, with emotions high over multiple, competing priorities. Credible public information organized in one place can help to neutralize misconceptions, put every need in context and depoliticize decision-making. Most importantly, data on recovery needs also can enable citizen involvement and allow residents to hold public leaders accountable for progress.

We know this first-hand from our experience in New Orleans, where the Brookings Institution and the New Orleans Data Center teamed up to produce what became the New Orleans Index following Hurricane Katrina in 2005. We set out to help the public and decision-makers understand the level of outstanding damage in New Orleans and the region and to monitor the extent to which the city was bouncing back….(More)”.

These 16 companies want to make technology work for everyone


MIT Sloan School Press Release: “One company helps undocumented people create a digital identity. Another uses artificial intelligence to help students transition to college. Yet another provides free training to budding tech pros.

These organizations are just a few of the many that are using technology to solve problems and help people all over the world — and they are all finalists in the MIT Initiative on the Digital Economy’s second annual Inclusive Innovation Challenge. During a time of great technological innovation, many people are not benefiting from this progress. The challenge is recognizing companies that are using technology to improve opportunities for working people…..

Here are the finalists:

AdmitHub
Did you know that of the students who have been admitted to college each spring, 14 percent don’t actually attend come fall? Or that of those who do attend, 48 percent haven’t graduated six years later. Boston-based AdmitHub created a virtual assistant powered by artificial intelligence to help students navigate the financial, academic, and social situations that accompany going to college, and they do it all through text messaging, communicating with students on their terms and easing the transition to college.

African Renewable Energy Distributor Ltd.
This company has developed solar-powered, portable kiosks where people can charge their phones, access Wi-Fi, or access an intranet while offline. Using a micro franchise business model, the Rwanda-based company hopes to empower women and people with disabilities who can run the kiosks.

AID:Tech
More than two billion people worldwide have no legal identity, something that is necessary for accessing public and financial services. Aid:Tech aims to end that, by providing a platform for undocumented people to create a digital ID using blockchain so that every transaction is secure and traceable. Aid:Tech is based out of Dublin, with offices in New York and London….(More)”

Crowdsourcing website is helping volunteers save lives in hurricane-hit Houston


By Monday morning, the 27-year-old developer, sitting in his leaky office, had slapped together an online mapping tool to track stranded residents. A day later, nearly 5,000 people had registered to be rescued, and 2,700 of them were safe.

If there’s a silver lining to Harvey, it’s the flood of civilian volunteers such as Marchetti who have joined the rescue effort. It became pretty clear shortly after the storm started pounding Houston that the city would need their help. The heavy rains quickly outstripped authorities’ ability to respond. People watched water levels rise around them while they waited on hold to get connected to a 911 dispatcher. Desperate local officials asked owners of high-water vehicles and boats to help collect their fellow citizens trapped on second-stories and roofs.

In the past, disaster volunteers have relied on social media and Zello, an app that turns your phone into a walkie-talkie, to organize. … Harvey’s magnitude, both in terms of damage and the number of people anxious to pitch in, also overwhelmed those grassroots organizing methods, says Marchetti, who spent the spent the first days after the storm hit monitoring Facebook and Zello to figure out what was needed where.

“The channels were just getting overloaded with people asking ‘Where do I go?’” he says. “We’ve tried to cut down on the level of noise.”

The idea behind his project, Houstonharveyrescue.com, is simple. The map lets people in need register their location. They are asked to include details—for example, if they’re sick or have small children—and their cell phone numbers.

The army of rescuers, who can also register on the site, can then easily spot the neediest cases. A team of 100 phone dispatchers follows up with those wanting to be rescued, and can send mass text messages with important information. An algorithm weeds out any repeats.

It might be one of the first open-sourced rescue missions in the US, and could be a valuable blueprint for future disaster volunteers. (For a similar civilian-led effort outside the US, look at Tijuana’s Strategic Committee for Humanitarian Aid, a Facebook group that sprouted last year when the Mexican border city was overwhelmed by a wave of Haitian immigrants.)…(More)”.