Delivery-Driven Policy: Policy designed for the digital age


Report by Code for America: “Policymaking is in a quiet crisis. Too often, government policies do not live up to their intent due to a key disconnect between policymakers and government delivery.

How might the shift to a digital world affect government’s ability to implement policy?

Practicing delivery-driven policymaking means bringing user-centered, iterative, and data-driven practices to bear from the start and throughout. It means getting deep into the weeds of implementation in ways that the policy world has traditionally avoided, iterating both on policy and delivery.

By tightly coupling policy and delivery, governments can use data about how people actually experience government services to narrow the implementation gap and help policies get the outcome they intend….(More)”

Digital human rights are next frontier for fund groups


Siobhan Riding at the Financial Times: “Politicians publicly grilling technology chiefs such as Facebook’s Mark Zuckerberg is all too familiar for investors. “There isn’t a day that goes by where you don’t see one of the tech companies talking to Congress or being highlighted for some kind of controversy,” says Lauren Compere, director of shareholder engagement at Boston Common Asset Management, a $2.4bn fund group that invests heavily in tech stocks.

Fallout from the Cambridge Analytica scandal that engulfed Facebook was a wake-up call for investors such as Boston Common, underlining the damaging social effects of digital technology if left unchecked. “These are the red flags coming up for us again and again,” says Ms Compere.

Digital human rights are fast becoming the latest front in the debate around fund managers’ ethical investments efforts. Fund managers have come under pressure in recent years to divest from companies that can harm human rights — from gun manufacturers or retailers to operators of private prisons. The focus is now switching to the less tangible but equally serious human rights risks lurking in fund managers’ technology holdings. Attention on technology groups began with concerns around data privacy, but emerging focal points are targeted advertising and how companies deal with online extremism.

Following a terrorist attack in New Zealand this year where the shooter posted video footage of the incident online, investors managing assets of more than NZ$90bn (US$57bn) urged Facebook, Twitter and Alphabet, Google’s parent company, to take more action in dealing with violent or extremist content published on their platforms. The Investor Alliance for Human Rights is currently co-ordinating a global engagement effort with Alphabet over the governance of its artificial intelligence technology, data privacy and online extremism.

Investor engagement on the topic of digital human rights is in its infancy. One roadblock for investors has been the difficulty they face in detecting and measuring what the actual risks are. “Most investors do not have a very good understanding of the implications of all of the issues in the digital space and don’t have sufficient research and tools to properly assess them — and that goes for companies too,” said Ms Compere.

One rare resource available is the Ranking Digital Rights Corporate Accountability Index, established in 2015, which rates tech companies based on a range of metrics. The development of such tools gives investors more information on the risk associated with technological advancements, enabling them to hold companies to account when they identify risks and questionable ethics….(More)”.

Unleashing the Crowd: Collaborative Solutions to Wicked Business and Societal Problems


Book by Ann Majchrzak and Arvind Malhotra: “This book disrupts the way practitioners and academic scholars think about crowds, crowdsourcing, innovation, and new organizational forms in this emerging period of ubiquitous access to the internet. The authors argue that the current approach to crowdsourcing unnecessarily limits the crowd to offering ideas, locking out those of us with knowledge about a problem.  They use data from 25 case studies of flash crowds — anonymous strangers answering online announcements to participate in a 7-10 day innovation challenge — half of whom were unleashed from the limitations of focusing on ideas.  Yet, these crowds were able to develop new business models, new product lines, and offer useful solutions to global problems in fields as diverse as health care insurance, software development, and societal change. This book, which offers a theory of collective production of innovative solutions explaining the practices that the crowds organically followed, will revolutionize current assumptions about how innovation and crowdsourcing should be managed for commercial as well as societal purposes….(More)”.

Citizen science and the United Nations Sustainable Development Goals


Steffen Fritz et al in Nature: “Traditional data sources are not sufficient for measuring the United Nations Sustainable Development Goals. New and non-traditional sources of data are required. Citizen science is an emerging example of a non-traditional data source that is already making a contribution. In this Perspective, we present a roadmap that outlines how citizen science can be integrated into the formal Sustainable Development Goals reporting mechanisms. Success will require leadership from the United Nations, innovation from National Statistical Offices and focus from the citizen-science community to identify the indicators for which citizen science can make a real contribution….(More)”.

Kenya passes data protection law crucial for tech investments


George Obulutsa and Duncan Miriri at Reuters: “Kenyan President Uhuru Kenyatta on Friday approved a data protection law which complies with European Union legal standards as it looks to bolster investment in its information technology sector.

The East African nation has attracted foreign firms with innovations such as Safaricom’s M-Pesa mobile money services, but the lack of safeguards in handling personal data has held it back from its full potential, officials say.

“Kenya has joined the global community in terms of data protection standards,” Joe Mucheru, minister for information, technology and communication, told Reuters.

The new law sets out restrictions on how personally identifiable data obtained by firms and government entities can be handled, stored and shared, the government said.

Mucheru said it complies with the EU’s General Data Protection Regulation which came into effect in May 2018 and said an independent office will investigate data infringements….

A lack of data protection legislation has also hampered the government’s efforts to digitize identity records for citizens.

The registration, which the government said would boost its provision of services, suffered a setback this year when the exercise was challenged in court.

“The lack of a data privacy law has been an enormous lacuna in Kenya’s digital rights landscape,” said Nanjala Nyabola, author of a book on information technology and democracy in Kenya….(More)”.

Voting could be the problem with democracy


Bernd Reiter at The Conversation: “Around the globe, citizens of many democracies are worried that their governments are not doing what the people want.

When voters pick representatives to engage in democracy, they hope they are picking people who will understand and respond to constituents’ needs. U.S. representatives have, on average, more than 700,000 constituents each, making this task more and more elusive, even with the best of intentions. Less than 40% of Americans are satisfied with their federal government.

Across Europe, South America, the Middle East and China, social movements have demanded better government – but gotten few real and lasting results, even in those places where governments were forced out.

In my work as a comparative political scientist working on democracy, citizenship and race, I’ve been researching democratic innovations in the past and present. In my new book, “The Crisis of Liberal Democracy and the Path Ahead: Alternatives to Political Representation and Capitalism,” I explore the idea that the problem might actually be democratic elections themselves.

My research shows that another approach – randomly selecting citizens to take turns governing – offers the promise of reinvigorating struggling democracies. That could make them more responsive to citizen needs and preferences, and less vulnerable to outside manipulation….

For local affairs, citizens can participate directly in local decisions. In Vermont, the first Tuesday of March is Town Meeting Day, a public holiday during which residents gather at town halls to debate and discuss any issue they wish.

In some Swiss cantons, townspeople meet once a year, in what are called Landsgemeinden, to elect public officials and discuss the budget.

For more than 30 years, communities around the world have involved average citizens in decisions about how to spend public money in a process called “participatory budgeting,” which involves public meetings and the participation of neighborhood associations. As many as 7,000 towns and cities allocate at least some of their money this way.

The Governance Lab, based at New York University, has taken crowd-sourcing to cities seeking creative solutions to some of their most pressing problems in a process best called “crowd-problem solving.” Rather than leaving problems to a handful of bureaucrats and experts, all the inhabitants of a community can participate in brainstorming ideas and selecting workable possibilities.

Digital technology makes it easier for larger groups of people to inform themselves about, and participate in, potential solutions to public problems. In the Polish harbor city of Gdansk, for instance, citizens were able to help choose ways to reduce the harm caused by flooding….(More)”.

Are Randomized Poverty-Alleviation Experiments Ethical?


Peter Singer et al at Project Syndicate: “Last month, the Nobel Memorial Prize in Economic Sciences was awarded to three pioneers in using randomized controlled trials (RCTs) to fight poverty in low-income countries: Abhijit Banerjee, Esther Duflo, and Michael Kremer. In RCTs, researchers randomly choose a group of people to receive an intervention, and a control group of people who do not, and then compare the outcomes. Medical researchers use this method to test new drugs or surgical techniques, and anti-poverty researchers use it alongside other methods to discover which policies or interventions are most effective. Thanks to the work of Banerjee, Duflo, Kremer, and others, RCTs have become a powerful tool in the fight against poverty.

But the use of RCTs does raise ethical questions, because they require randomly choosing who receives a new drug or aid program, and those in the control group often receive no intervention or one that may be inferior. One could object to this on principle, following Kant’s claim that it is always wrong to use human beings as a means to an end; critics have argued that RCTs “sacrifice the well-being of study participants in order to ‘learn.’”

Rejecting all RCTs on this basis, however, would also rule out the clinical trials on which modern medicine relies to develop new treatments. In RCTs, participants in both the control and treatment groups are told what the study is about, sign up voluntarily, and can drop out at any time. To prevent people from choosing to participate in such trials would be excessively paternalistic, and a violation of their personal freedom.

less extreme version of the criticism argues that while medical RCTs are conducted only if there are genuine doubts about a treatment’s merits, many development RCTs test interventions, such as cash transfers, that are clearly better than nothing. In this case, maybe one should just provide the treatment?

This criticism neglects two considerations. First, it is not always obvious what is better, even for seemingly stark examples like this one. For example, before RCT evidence to the contrary, it was feared that cash transfers lead to conflict and alcoholism.

Second, in many development settings, there are not enough resources to help everyone, creating a natural control group….

A third version of the ethical objection is that participants may actually be harmed by RCTs. For example, cash transfers might cause price inflation and make non-recipients poorer, or make non-recipients envious and unhappy. These effects might even affect people who never consented to be part of a study.

This is perhaps the most serious criticism, but it, too, does not make RCTs unethical in general….(More)”.

The Ethical Algorithm: The Science of Socially Aware Algorithm Design


Book by Michael Kearns and Aaron Roth: “Over the course of a generation, algorithms have gone from mathematical abstractions to powerful mediators of daily life. Algorithms have made our lives more efficient, more entertaining, and, sometimes, better informed. At the same time, complex algorithms are increasingly violating the basic rights of individual citizens. Allegedly anonymized datasets routinely leak our most sensitive personal information; statistical models for everything from mortgages to college admissions reflect racial and gender bias. Meanwhile, users manipulate algorithms to “game” search engines, spam filters, online reviewing services, and navigation apps.

Understanding and improving the science behind the algorithms that run our lives is rapidly becoming one of the most pressing issues of this century. Traditional fixes, such as laws, regulations and watchdog groups, have proven woefully inadequate. Reporting from the cutting edge of scientific research, The Ethical Algorithm offers a new approach: a set of principled solutions based on the emerging and exciting science of socially aware algorithm design. Michael Kearns and Aaron Roth explain how we can better embed human principles into machine code – without halting the advance of data-driven scientific exploration. Weaving together innovative research with stories of citizens, scientists, and activists on the front lines, The Ethical Algorithm offers a compelling vision for a future, one in which we can better protect humans from the unintended impacts of algorithms while continuing to inspire wondrous advances in technology….(More)”.

Finland’s model in utilising forest data


Report by Matti Valonen et al: “The aim of this study is to depict the Finnish Forest Centre’s Metsään.fiwebsite’s background, objectives and implementation and to assess its needs for development and future prospects. The Metsään.fi-service included in the Metsään.fi-website is a free e-service for forest owners and corporate actors (companies, associations and service providers) in the forest sector, which aim is to support active decision-making among forest owners by offering forest resource data and maps on forest properties, by making contacts with the authorities easier through online services and to act as a platform for offering forest services, among other things.

In addition to the Metsään.fi-service, the website includes open forest data services that offer the users national forest resource data that is not linked with personal information.

Private forests are in a key position as raw material sources for traditional and new forest-based bioeconomy. In addition to wood material, the forests produce non-timber forest products (for example berries and mushrooms), opportunities for recreation and other ecosystem services.

Private forests cover roughly 60 percent of forest land, but about 80 percent of the domestic wood used by forest industry. In 2017 the value of the forest industry production was 21 billion euros, which is a fifth of the entire industry production value in Finland. The forest industry export in 2017 was worth about 12 billion euros, which covers a fifth of the entire export of goods. Therefore, the forest sector is important for Finland’s national economy…(More)”.

Big Data, Algorithms and Health Data


Paper by Julia M. Puaschunder: “The most recent decade featured a data revolution in the healthcare sector in screening, monitoring and coordination of aid. Big data analytics have revolutionarized the medical profession. The health sector relys on Artificial Intelligence (AI) and robotics as never before. The opportunities of unprecedented access to healthcare, rational precision and human resemblance but also targeted aid in decentralized aid grids are obvious innovations that will lead to most sophisticated neutral healthcare in the future. Yet big data driven medical care also bears risks of privacy infringements and ethical concerns of social stratification and discrimination. Today’s genetic human screening, constant big data information amalgamation as well as social credit scores pegged to access to healthcare also create the most pressing legal and ethical challenges of our time.Julia M. PuaschunderThe most recent decade featured a data revolution in the healthcare sector in screening, monitoring and coordination of aid. Big data analytics have revolutionarized the medical profession. The health sector relys on Artificial Intelligence (AI) and robotics as never before. The opportunities of unprecedented access to healthcare, rational precision and human resemblance but also targeted aid in decentralized aid grids are obvious innovations that will lead to most sophisticated neutral healthcare in the future. Yet big data driven medical care also bears risks of privacy infringements and ethical concerns of social stratification and discrimination. Today’s genetic human screening, constant big data information amalgamation as well as social credit scores pegged to access to healthcare also create the most pressing legal and ethical challenges of our time.

The call for developing a legal, policy and ethical framework for using AI, big data, robotics and algorithms in healthcare has therefore reached unprecedented momentum. Problematic appear compatibility glitches in the AI-human interaction as well as a natural AI preponderance outperforming humans. Only if the benefits of AI are reaped in a master-slave-like legal frame, the risks associated with these novel superior technologies can be curbed. Liability control but also big data privacy protection appear important to secure the rights of vulnerable patient populations. Big data mapping and social credit scoring must be met with clear anti-discrimination and anti-social stratification ethics. Lastly, the value of genuine human care must be stressed and precious humanness in the artifical age conserved alongside coupling the benefits of AI, robotics and big data with global common goals of sustainability and inclusive growth.

The report aims at helping a broad spectrum of stakeholders understand the impact of AI, big data, algorithms and health data based on information about key opportunities and risks but also future market challenges and policy developments for orchestrating the concerted pursuit of improving healthcare excellence. Stateshuman and diplomates are invited to consider three trends in the wake of the AI (r)evolution:

Artificial Intelligence recently gained citizenship in robots becoming citizens: With attributing quasi-human rights to AI, ethical questions arise of a stratified citizenship. Robots and algorithms may only be citizens for their protection and upholding social norms towards human-like creatures that should be considered slave-like for economic and liability purposes without gaining civil privileges such as voting, property rights and holding public offices.

Big data and computational power imply unprecedented opportunities for: crowd understanding, trends prediction and healthcare control. Risks include data breaches, privacy infringements, stigmatization and discrimination. Big data protection should be enacted through technological advancement, self-determined privacy attention fostered by e-education as well as discrimination alleviation by only releasing targeted information and regulated individual data mining capacities.

The European Union should consider establishing a fifth trade freedom of data by law and economic incentives: in order to bundle AI and big data gains large scale. Europe holds the unique potential of offering data supremacy in state-controlled universal healthcare big data wealth that is less fractionate than the US health landscape and more Western-focused than Asian healthcare. Europe could therefore lead the world on big data derived healthcare insights but should also step up to imbuing humane societal imperatives on these most cutting-edge innovations of our time….(More)”.