Bot.Me: A revolutionary partnership

Curated on Posted on by Stefaan Verhulst

PWC Consumer Intelligence Series: “The modern world has been shaped by the technological revolutions of the past, like the Industrial Revolution and the Information Revolution. The former redefined the way the world values both human and material resources; the latter redefined value in terms of resources while democratizing information. Today, as technology progresses even further, value is certain to shift again, with a focus on sentiments more intrinsic to the human experience: thinking, creativity, and problem-solving. AI, shorthand for artificial intelligence, defines technologies emerging today that can understand, learn, and then act based on that information. Forms of AI in use today include digital assistants, chatbots, and machine learning.

Today, AI works in three ways:

  • Assisted intelligence, widely available today, improves what people and organizations are already doing. A simple example, prevalent in cars today, is the GPS navigation program that offers directions to drivers and adjusts to road conditions.
  • Augmented intelligence, emerging today, enables people and organizations to do things they couldn’t otherwise do. For example, the combination of programs that organize cars in ride-sharing services enables businesses that could not otherwise exist.
  • Autonomous intelligence, being developed for the future, establishes machines that act on their own. An example of this will be self-driving vehicles, when they come into widespread use.

With a market projected to reach $70 billion by 2020, AI is poised to have a transformative effect on consumer, enterprise, and government markets around the world. While there are certainly obstacles to overcome, consumers believe that AI has the potential to assist in medical breakthroughs, democratize costly services, elevate poor customer service, and even free up an overburdened workforce. Some tech optimists believe AI could create a world where human abilities are amplified as machines help mankind process, analyze, and evaluate the abundance of data that creates today’s world, allowing humans to spend more time engaged in high-level thinking, creativity, and decision-making. Technological revolutions, like the Industrial Revolution and the Information Revolution, didn’t happen overnight. In fact, people in the midst of those revolutions often didn’t even realize they were happening, until history was recorded later.

That is where we find ourselves today, in the very beginning of what some are calling the “augmented age.” Just like humans in the past, it is up to mankind to find the best ways to leverage these machine revolutions to help the world evolve. As Isaac Asimov, the prolific science fiction writer with many works on AI mused, “No sensible decision can be made any longer without taking into account not only the world as it is, but the world as it will be.” As a future with AI approaches, it’s important to understand how people think of it today, how it will amplify the world tomorrow, and what guiding principles will be required to navigate this monumental change….(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)”.

Democracy Needs a Reboot for the Age of Artificial Intelligence

Curated on Posted on by Stefaan Verhulst

Katharine Dempsey at The Nation: “…A healthy modern democracy requires ordinary citizens to participate in public discussions about rapidly advancing technologies. We desperately need new policies, regulations, and safety nets for those displaced by machines. With computing power accelerating exponentially, the scale of AI’s significance is still not being fully internalized. The 2017 McKinsey Global Initiative report “A Future that Works” predicts that AI and advanced robotics could automate roughly half of all work globally by 2055, but, McKinsey notes, “this could happen up to 20 years earlier or later depending on the various factors, in addition to other wider economic conditions.”

Granted, the media are producing more articles focused on artificial intelligence, but too often these pieces veer into hysterics. Wired magazine labeled this year’s coverage “The Great Tech Panic of 2017.” We need less fear-mongering and more rational conversation. Dystopian narratives, while entertaining, can also be disorienting. Skynet from the Terminatormovies is not imminent. But that doesn’t mean there aren’t hazards ahead….

Increasingly, to thoughtfully discuss ethics, politics, or business, the general population needs to pay attention to AI. In 1989, Ursula Franklin, the distinguished German-Canadian experimental physicist, delivered a series of lectures titled “The Real World of Technology.” Franklin opened her lectures with an important observation: “The viability of technology, like democracy, depends in the end on the practice of justice and on the enforcements of limits to power.”

For Franklin, technology is not a neutral set of tools; it can’t be divorced from society or values. Franklin further warned that “prescriptive technologies”—ones that isolate tasks, such as factory-style work—find their way into our social infrastructures and create modes of compliance and orthodoxy. These technologies facilitate top-down control….(More)”.

Most of the public doesn’t know what open data is or how to use it

Curated on Posted on by Stefaan Verhulst

Jason Shueh at Statescoop: “New survey results show that despite the aggressive growth of open data, there is a drastic need for greater awareness and accessibility.

Results of a global survey published last month by Singapore’s Government Technology agency (GovTech) and the Economist Intelligence Unit, a British forecasting and advisory firm, show that open data is not being utilized as effectively as it could be. Researchers surveyed more than 1,000 residents in the U.S. and nine other leading open data counties and found that “an overwhelming” number of respondents say the primary barrier to open data’s use and effectiveness is a lack of public awareness.

The study reports that 50 percent of respondents said that national and local governments need to expand their civic engagements efforts on open data.

“Half of respondents say there is not enough awareness in their country about open government data initiatives and their benefits or potential uses,” the reports notes. “This is seen as the biggest barrier to more open government data use, particularly by citizens in India and Mexico.”

Accessibility is named as the second largest hurdle, with 31 percent calling for more relevant data. Twenty-five percent say open data is difficult to use due to a lack of standardized formats and another 25 percent say they don’t have the skills to understand open data.

Those calling for more relevant data say they wanted to see more information on crime, the economy and the environment, yet report they are happy with the availability and use of open data related to transportation….

When asked to name the main benefit of open data, 70 percent say greater transparency, 78 percent say to drive a better quality of life, and 53 percent cite better decision making….(More)”.

Crowdsourced Smart Cities

Curated on Posted on by Stefaan Verhulst

Paper by Robert A Iannucci and Anthony Rowe: “The vision of applying computing and communication technologies to enhance life in our cities is fundamentally appealing. Pervasive sensing and computing can alert us to imminent dangers, particularly with respect to the movement of vehicles and pedestrians in and around crowded streets. Signaling systems can integrate knowledge of city-scale traffic congestion. Self-driving vehicles can borrow from and contribute to a city-scale information collaborative. Achieving this vision will require significant coordination among the creators of sensors, actuators, and application-level software systems. Cities will invest in such smart infrastructure if and only if they are convinced that the value can be realized. Investment by technology providers in creation of the infrastructure depends to a large degree on their belief in a broad and ready market. To accelerate innovation, this stalemate must be broken. Borrowing a page from the evolution of the internet, we put forward the notion that an initially minimalist networking infrastructure that is well suited to smart city concepts can break this cycle and empower co-development of both clever city-sensing devices and valuable city-scale applications, with players large and small being empowered in the process. We call this the crowdsourced smart city concept. We illustrate the concept via an examination of our ongoing project to crowdsource real-time traffic data, arguing that this can rapidly generalize to many more smart city applications. This exploration motivates study of a number of smart city challenges, crowdsourced or otherwise, leading to a paradigm shift we call edgeless computing….(More)”.

Ethical questions in data journalism and the power of online discussion

Curated on Posted on by Stefaan Verhulst

David Craig, Stan Ketterer and Mohammad Yousuf at Data Driven Journalism: “One common element uniting data journalism projects, across different stories and locations, is the ethical challenges they present.

As scholars and practitioners of data journalism have pointed out, main issues include flawed data, misrepresentation from a lack of context, and privacy concerns. Contributors have discussed the ethics of data journalism on this site in posts about topics such as the use of pervasive data, transparency about editorial processes in computational journalism, and best practices for doing data journalism ethically.

Our research project looked at similar ethical challenges by examining journalists’ discussion of the controversial handling of publicly accessible gun permit data in two communities in the United States. The cases are not new now, but the issues they raise persist and point to opportunities – both to learn from online discussion of ethical issues and to ask a wide range of ethical questions about data journalism

The cases

Less than two weeks after the 2012 shooting deaths of 20 children and six staff members at Sandy Hook Elementary School in Newtown, Connecticut, a journalist at The Journal News in White Plains, New York, wrote a story about the possible expansion of publicly accessible gun permit data. The article was accompanied by three online maps with the locations of gun permit holders. The clickable maps of a two-county area in the New York suburbs also included the names and addresses of the gun permit holders. The detailed maps with personal information prompted a public outcry both locally and nationally, mainly involving privacy and safety concerns, and were subsequently taken down.

Although the 2012 case prompted the greatest attention, another New York newspaper reporter’s Freedom of Information request for a gun permit database for three counties sparked an earlier public outcry in 2008. The Glen Falls Post-Star’s editor published an editorial in response. “We here at The Post-Star find ourselves in the unusual position of responding to the concerns of our readers about something that has not even been published in our newspaper or Web site,” the editorial began. The editor said the request “drew great concern from members of gun clubs and people with gun permits in general, a concern we totally understand.”

Both of these cases prompted discussion among journalists, including participants in NICAR-L, the listserv of the National Institute for Computer-Assisted Reporting, whose subscribers include data journalists from major news organizations in the United States and around the world. Our study examined the content of three discussion threads with a total of 119 posts that focused mainly on ethical issues.

Key ethical issues

Several broad ethical issues, and specific themes related to those issues, appeared in the discussion.

1. Freedom versus responsibility and journalistic purpose..

2. Privacy and verification..

3. Consequences..

….(More)”

See also: David Craig, Stan Ketterer and Mohammad Yousuf, “To Post or Not to Post: Online Discussion of Gun Permit Mapping and the Development of Ethical Standards in Data Journalism,” Journalism & Mass Communication Quarterly

Blocked: Why Some Companies Restrict Data Access to Reduce Competition and How Open APIs Can Help

Curated on Posted on by Stefaan Verhulst

Daniel Castro and Michael Steinberg at the Center for Data Innovation: “Over the past few years, some scholars, advocates, and policymakers have argued that businesses which possess large quantities of data, such as social media companies, present inherent competition concerns. These concerns are misplaced for a number of reasons, one being that competitors can often obtain similar data from other sources. But in some industries and markets, a small number of firms have exclusive access to particular datasets, and they exploit their market power to limit access to that data through both technical and administrative means without any legitimate business justification. This type of anti-competitive behavior limits innovation and hurts consumers, and when these problematic practices occur, policymakers should intervene….

To promote competition, innovation, and consumer benefits in these three industries, policymakers should take the following steps:

  • In real estate, anti-trust regulators at the Department of Justice (DOJ) and the Federal Trade Commission (FTC) should investigate whether MLS actions to block data from online listing companies are collusive and exclusionary, and state policymakers should require brokers to provide open access to their real estate listings;
  • In the financial services, the Consumer Finance Protection Bureau (CFPB) should establish guidance for financial institutions to allow third parties to access customer data, securely and with the customer’s permission, through open APIs;
  • In the air travel industry, the Department of Transportation (DOT) should establish rules requiring airlines to make all ticket pricing information publicly available in a standardized format and prohibit unfair marketing practices that limit distribution of this information to certain companies….(More)”.

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

Curated on Posted on by Stefaan Verhulst

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)”.

 

Smart city initiatives in Africa

Curated on Posted on by Stefaan Verhulst

Eyerusalem Siba and Mariama Sow at Brookings: “…African countries are presently in the early stages of their urbanization process. Though Africa was the least urbanized region in the world in 2015—only 40 percent of sub-Saharan Africa’s population lived in cities—it is now the second-fastest urbanizing region in the world (behind Asia). Population experts predict that by 2020, Africa will be on top. Given this rapid growth, now is the time for African policymakers to incorporate smart cities into their urbanization strategies….

Rwanda is one of the pioneers of smart city engineering in Africa. Modernizing Kigali is part of a wider effort by the Rwanda government to increase and simplify access to public services. The Irembo platform launched by the government, seeks to create e-government services to allow citizens to complete public processes online, such as registering for driving exams and requesting birth certificates.

In addition, the country is active in involving the private sector in its goal towards creating smart cities. In mid-May, the Rwandan government launched a partnership with Nokia and SRG in order to deploy smart city technology to “improve the lifestyle and social sustainability of [Rwandan] citizens.” The project involves investment in network connectivity and sensor deployment to improve public safety, waste management, utility management, and health care, among other functions.

Rwanda’s smart city rollout has not been perfect, though, proving that smart city development can hit some snags: For example, in 2016, the city started rolling out buses with free Wi-Fi and cashless payment service, but the buses have had connectivity issues related to the Korea-built technology’s inability to adapt to local conditions.

In addition, there has been criticism around the lack of inclusivity of certain smart cities projects. Kigali’s Smart Neighborhood project, Vision City, creates a tech-enabled neighborhood with solar powered street lamps and free Wi-Fi in the town square. Critics, though, state that the project ignored the socioeconomic realities of a city where 80 percent of its population lives in slums with monthly earnings below $240 (Vision City Homes cost $160,000). (Rwandan planners have responded stating that affordable housing will be built in the later phases of the project.)

POLICY RECOMMENDATIONS

As seen in the case of Rwanda, smart cities—while creating opportunities for innovation and better livelihoods—face challenges during and after their development. City planners and policymakers must keep the big picture in mind when promoting smart cities, emphasizing well-implemented infrastructure and citizen needs. Technology for technology’s sake will not create solutions to some of Africa’s cities biggest challenges, including high-cost, low-quality, and inaccessible services. Indeed, in a 2015 issue paper, UN-Habitat urges city planners to avoid viewing smart cities as the final product. In particular, UN-Habitat calls for smart cities to minimize transport needs, reduce service delivery costs, and maximize land use. These moves, among others, will ensure that the city reduces congestion, creates spaces dedicated to recreational uses, enhances service delivery, and, thus, improves its citizen’s quality of life…(More)”.

Data Governance Regimes in the Digital Economy: The Example of Connected Cars

Curated on Posted on by Stefaan Verhulst

Paper by Wolfgang Kerber and Jonas Severin Frank: “The Internet of Things raises a number of so far unsolved legal and regulatory questions. Particularly important are the issues of privacy, data ownership, and data access. One particularly interesting example are connected cars with their huge amount of produced data. Also based upon the recent discussion about data ownership and data access in the context of the EU Communication “Building a European data economy” this paper has two objectives:

(1) It intends to provide a General economic theoretical framework for the analysis of data governance regimes for data in Internet of Things contexts, in which two levels of data governance are distinguished (private data governance based upon contracts and the legal and regulatory framework for markets). This framework focuses on potential market failures that can emerge in regard to data and privacy.

(2) It applies this analytical framework to the complex problem of data governance in connected cars (with its different stakeholders car manufacturers, car owners, car component suppliers, repair service providers, insurance companies, and other service providers), and identifies several potential market failure problems in regard to this specific data governance problem (esp. competition problems, information/behavioral Problems and privacy problems).

These results can be an important input for future research that focuses more on the specific policy implications for data governance in connected cars. Although the paper is primarily an economic paper, it tries to take into account important aspects of the legal discussion….(More)”.