Report by the World Bank: “Describes opportunities for harnessing the value of big data and artificial intelligence (AI) for social good and how new families of AI algorithms now make it possible to obtain actionable insights automatically and at scale. Beyond internet business or commercial applications, multiple examples already exist of how big data and AI can help achieve shared development objectives, such as the 2030 Agenda for Sustainable Development and the Sustainable Development Goals (SDGs). But ethical frameworks in line with increased uptake of these new technologies remain necessary—not only concerning data privacy but also relating to the impact and consequences of using data and algorithms. Public recognition has grown concerning AI’s potential to create both opportunities for societal benefit and risks to human rights.
Common-Knowledge Attacks on Democracy
Paper by Henry Farrell and Bruce Schneier: “Existing approaches to cybersecurity emphasize either international state-to-state logics (such as deterrence theory) or the integrity of individual information systems. Neither provides a good understanding of new “soft cyber” attacks that involve the manipulation of expectations and common understandings. We argue that scaling up computer security arguments to the level of the state, so that the entire polity is treated as an information system with associated attack surfaces and threat models, provides the best immediate way to understand these attacks and how to mitigate them.
We demonstrate systematic differences between how autocracies and democracies work as information
The Innovation System of the Public Service of Canada
OECD: Today, the OECD Observatory of Public Sector Innovation (OPSI) is pleased to announce the release of The Innovation System of the Public Service of Canada, the first of the OECD’s reviews of a national public sector innovation system
- The Government of Canada starts with a strong base, having a long demonstrated history of innovation. The civil service also has a longstanding awareness and appreciation of the need for innovation.
- There has been an ongoing recognition that the Public Service of Canada needs to continue to adapt and be responsive. Respective Clerks (the Heads of the Public Service) have repeatedly identified the need to go further.
- Much of the ‘low-hanging’ fruit (i.e. activities to support public sector innovation such as awards, efforts to remove hurdles, introduction of new tools) has already been picked, but this is unlikely to lead to long term sustainability.
- The innovation system is still relatively fragmented, in that most actors are experiencing the same system in different ways. New approaches are needed.
- The Canadian Public Service has made some significant steps towards a more systemic approach to public sector innovation. However, it is likely that without continuous efforts and direction the innovation system will not be able to consistently and reliably contribute to the delivery of the best outcomes for citizens.
Given that much is still being learnt about public sector innovation, the report avoids a prescriptive approach as to what should be done. It identifies potential areas of intervention, but recognises that the context will continue to evolve, and that the specific actions taken should be matched to the ambitions and intent of the Public Service of Canada.
An innovation system is made up of many parts and contributed to by many actors. The effectiveness of the innovation system – i.e. its ability to consistently and reliably develop and deliver innovative solutions that contribute to achieving the goals and priorities of the government – will depend on collective effort, involving action from different actors at the individual, organisational, and system levels.
While a range of options
Artificial Intelligence: Public-Private Partnerships join forces to boost AI progress in Europe
European Commission Press Release: “…the Big Data Value Association and euRobotics agreed to cooperate more in order to boost the advancement of artificial intelligence’s (AI) in Europe.
- Working together to boost European AI, building on existing industrial and research communities and on results of the Big Data Value PPP and SPARC PPP. This to contribute to the European Commission’s ambitious approach to AI, backed up with a drastic increase investment, reaching €20 billion total public and private funding in Europe until 2020.
- Enabling joint-pilots, for example, to accelerate the use and integration of big data, robotics and AI technologies in different sectors and society as a whole
- Exchanging best practices and approaches from existing and future projects of the Big Data PPP and the SPARC PPP
- Contributing to the European Digital Single Market, developing strategic roadmaps and position papers
This Memorandum of Understanding between the PPPs follows the European Commission’s approach to AI presented in April 2018 and the Declaration of Cooperation on Artificial Intelligence signed by all 28 Member States and Norway. This Friday 7 December the Commission will present its EU coordinated plan
The Constitution of Knowledge
Jonathan Rauch at National Affairs: “America has faced many challenges to its political culture, but this is the first time we have seen a national-level epistemic attack: a systematic attack, emanating from the very highest reaches of power, on our collective ability to distinguish truth from falsehood. “These are truly uncharted waters for the country,” wrote Michael Hayden, former CIA director, in the Washington Post in April. “We have in the past argued over the values to be applied to objective reality, or occasionally over what constituted objective reality, but never the existence or relevance of objective reality itself.” To make the point another way: Trump and his troll armies seek to undermine the constitution of knowledge
The attack, Hayden noted, is on “the existence or relevance of objective reality itself.” But what is objective reality?
In everyday vernacular, reality often refers to the world out there: things as they really are, independent of human perception and error. Reality also often describes those things that we feel certain about, things that we believe no amount of wishful thinking could change. But, of course, humans have no direct access to an objective world independent of our minds and senses, and subjective certainty is in no way a guarantee of truth. Philosophers have wrestled with these problems for centuries, and today they have a pretty good working definition of objective reality. It is a set of propositions: propositions that have been validated in some way, and have thereby been shown to be at least conditionally true — true, that is, unless debunked. Some of these propositions reflect the world as we perceive it (e.g., “The sky is blue”). Others, like claims made by quantum physicists and abstract mathematicians, appear completely removed from the world of everyday experience.
It is worth noting, however, that the locution “validated in some way” hides a cheat. In what way? Some Americans believe Elvis Presley is alive. Should we send him a Social Security check? Many people believe that vaccines cause autism, or that Barack Obama was born in Africa, or that the murder rate has risen. Who should decide who is right? And who should decide who gets to decide?
This is the problem of social epistemology, which concerns itself with how societies come to some kind of public understanding about truth. It is a fundamental problem for every culture and country, and the attempts to resolve it go back at least to Plato, who concluded that a philosopher king (presumably someone like Plato himself) should rule over reality. Traditional tribal communities frequently use oracles to settle questions about reality. Religious communities use holy texts as interpreted by priests. Totalitarian states put the government in charge of objectivity.
There are many other ways to settle questions about reality. Most of them are terrible because they rely on authoritarianism, violence, or, usually, both. As the great American philosopher Charles Sanders Peirce said in 1877, “When complete agreement could not otherwise be reached, a general massacre of all who have not thought in a certain way has proved a very effective means of settling opinion in a country.”
As Peirce implied, one way to avoid a massacre would be to attain unanimity, at least on certain core issues. No wonder we hanker for consensus. Something you often hear today is that, as Senator Ben Sasse put it in an interview on CNN, “[W]e have a risk of getting to a place where we don’t have shared public facts. A republic will not work if we don’t have shared facts.”
But that is not quite the right answer, either. Disagreement about core issues and even core facts is inherent in human nature and essential in a free society. If unanimity on core propositions is not possible or even desirable, what is necessary to have a functional social reality? The answer is that we need an elite consensus, and hopefully also something approaching a public consensus, on the method of validating propositions. We needn’t and can’t all agree that the same things are true, but a critical mass needs to agree on what it is we do that distinguishes truth from falsehood, and more important, on who does it.
Who can be trusted to resolve questions about objective truth? The best answer turns out to be no one in particular….(More)”.
Data Collaboration, Pooling and Hoarding under Competition Law
Paper by Bjorn Lundqvist: “In the Internet of Things era devices will monitor and collect data, whilst device producing firms will store, distribute,
If firms would like to combine data, they need to give each other access either by sharing, trading, or pooling the data. On the one hand, industry-wide pooling of data could increase
Using Mobile Network Data for Development: How it works
Blog by Derval Usher and Darren Hanniffy: “…We aim to equip
1. The framework to support Shared Value partnerships.
2. Shared understanding of The Proposition and the benefits for all parties.
3. Access to finance and a funding strategy, designing-in innovation.
1. Any Public-Private Partnership should be aligned to achieve impact centered on the SDGs through a Shared Value / Inclusive Business approach. Mobile network operators are consumed with the challenge of maintaining or upgrading their infrastructure, driving device sales and sustaining their agent networks to reach the last mile. Measuring impact against the SDGs has not been a priority. Mobile network operators tend not to seek out partnerships with traditional development donors or development implementers. But there is a growing realisation of the potential and the need to partner. It’s important to move from a service level transactional relationship to a strategic partnership approach.
Private sector partners have been fundamental to the success of UN Global Pulse as these companies are often the custodians of the big data sets from which we develop valuable development and humanitarian insights. Although in previous years our private sector partners were framed primarily as data philanthropists, we are beginning to see a shift in the relationship to one of shared value. Our work generates public value and also insights that can enhance business operations. This shared value model is attracting more private enterprises to engage and to explore their own data, and more broadly to investigate the value of their networks and data as part of the data innovation ecosystem, which the Global Pulse lab network will build on as we move forward.
2. Partners need to be more propositional and less charitable. They need to recognise the fact that earning profit may help ensure the sustainability of digital platforms and services that offer developmental impact. Through partnership we can attract innovative finance, deliver mobile for development programmes, measure impact and create affordable commercial solutions to development challenges that become sustainable by design. Pulse Lab Jakarta and Digicel have been flexible with one another which is important as this partnership has not always been a priority for either side all the time. But we believe in unlocking the power of mobile data for development and therefore continue to make progress.
3. Development and commercial strategies should be more aligned to create an enabling environment. Currently they are not. Private sector needs to become a strategic partner to development where multi-annual development funds align with commercial strategy. Mobile network operators continue to invest in their network particularly in developing countries and the digital platform is coming into being in the markets where Digicel operates. But the platform is new and experience is limited within governments, the development community and indeed even within mobile network operators.
We need to see donors actively engage during the development of multi-annual funding facilities
Library of Congress Launches Crowdsourcing Platform
Matt Enis at the Library Journal: “The Library of Congress (LC) last month launched crowd.loc.gov, a new crowdsourcing platform that will improve discovery and access to the Library’s digital collections with the help of volunteer transcription and tagging. The project kicked off with the “Letters to Lincoln Challenge,” a campaign encouraging volunteers to transcribe 10,000 digitized versions of documents written by or to Abraham Lincoln, which will make these materials full-text searchable for the first time….
The new project is the earliest example of LC’s new Digital Strategy, which complements the library’s new 2019–23 strategic plan. Announced in October, the strategic plan, “Enriching the User Experience,” outlines four high-level goals—expanding access, enhancing services, optimizing resources, and measuring results—while the digital strategy outlines how LC plans to accomplish these goals with its digital resources, described as “throwing open the treasure chest, connecting, and investing in our future”…
LC aims to use crowdsourcing to enrich the user experience in two key ways, Zwaard said.
“First, it helps with the legibility of our collections,” she explained. “The Library of Congress is home to so many historic treasures, but the handwriting can be hard to read…. For example, we have this amazing letter from Abraham Lincoln to his first fiancée. It’s really quite lovely, but at a glance, if you’re not familiar with historic handwriting, it’s hard to read.”…
Second, crowdsourcing “invites people into the collections,” she added. “The library is very optimized around answering specific research questions. One of the things we’re thinking about is how to serve users who don’t have a specific research question—who just want to see all of the cool stuff. We have so much cool stuff! But it can be hard for people to find purchase when they are just browsing and don’t have anything specific in mind. One of the ways we can [showcase interesting content] is by offering them a window into the collections by asking for their help.”…
To facilitate ongoing engagement with these varied projects, LC has set up an online forum on History Hub, a site hosted by the National Archives, to encourage crowd.loc.gov participants to ask questions, discuss projects, and meet other volunteers. …
Crowd.loc.gov is not LC’s first crowdsourcing project. Followers of the library’s official Flickr account have added tens of thousands of descriptive tags to digitized historical photos since the account debuted in 2007. And last year, the debut of labs.loc.gov—which aims to encourage creative use of LOC’s digital collections—included the Beyond Words crowdsourcing project developed by LC software developer Tong Wang….(More)”
Why We Need to Audit Algorithms
James Guszcza, Iyad Rahwan, Will Bible, Manuel Cebrian and Vic Katyal at Harvard Business Review: “Algorithmic decision-making and artificial intelligence (AI) hold enormous potential and are likely to be economic blockbusters, but we worry that the hype has led many people to overlook the serious problems of introducing algorithms into business and society. Indeed, we see many succumbing to what Microsoft’s Kate Crawford calls “data fundamentalism” — the notion that massive datasets are repositories that yield reliable and objective
Ensuring that societal values are reflected in algorithms and AI technologies will require no less creativity, hard work, and innovation than developing the AI technologies themselves. We have a proposal for a good place to start: auditing. Companies have long been required to issue audited financial statements for the benefit of financial markets and other stakeholders. That’s because — like algorithms — companies’ internal operations appear as “black boxes” to those on the outside. This gives managers an informational advantage over the investing public which could be abused by unethical actors. Requiring managers to report periodically on their operations provides a check on that advantage. To bolster the trustworthiness of these reports, independent auditors are hired to provide reasonable assurance that the reports coming from the “black box” are free of material misstatement. Should we not subject societally impactful “black box” algorithms to comparable scrutiny?
Indeed, some forward thinking regulators are beginning to explore this possibility. For example, the EU’s General Data Protection Regulation (GDPR) requires that organizations be able to explain their algorithmic decisions. The city of New York recently assembled a task force to study possible biases in algorithmic decision systems. It is reasonable to anticipate that emerging regulations might be met with market pull for services involving algorithmic accountability.
So what might an algorithm auditing discipline look like? First, it should adopt a holistic perspective. Computer science and machine learning methods will be necessary, but likely not sufficient foundations for an algorithm auditing discipline. Strategic thinking, contextually informed professional judgment, communication, and the scientific method are also required.
As a result, algorithm auditing must be interdisciplinary in order for it to succeed
Reimagining Public-Private Partnerships: Four Shifts and Innovations in Sharing and Leveraging Private Assets and Expertise for the Public Good
Blog by Stefaan G. Verhulst and Andrew J. Zahuranec: “For years, public-private partnerships (PPPs) have promised to help governments do more for less. Yet, the discussion and experimentation surrounding PPPs often focus on outdated models and narratives, and the field of experimentation has not fully embraced the opportunities provided by an increasingly networked and data-rich private sector.
Private-sector actors (including businesses and NGOs) have expertise and assets that, if brought to bear in collaboration with the public sector, could spur progress in addressing public problems or providing public services. Challenges to date have largely involved the identification of effective and legitimate means for unlocking the public value of private-sector expertise and assets. Those interested in creating public value through PPPs are faced with a number of questions, including:
- How do we broaden and deepen our understanding of PPPs in the 21st Century?
- How can we innovate and improve the ways that PPPs tap into private-sector assets and expertise for the public good?
- How do we connect actors in the PPP space with open governance developments and practices, especially given that PPPs have not played a major role in the governance innovation space to date?
The PPP Knowledge Lab defines a PPP as a “long-term contract between a private party and a government entity, for providing a public asset or service, in which the private party bears significant risk and management responsibility and remuneration is linked to performance.”…
To maximize the value of PPPs, we don’t just need new tools or experiments but new models for using assets and expertise in different sectors. We need to bring that capacity to public problems.
At the latest convening of the MacArthur Foundation Research Network on Opening Governance, Network members and experts from across the field tried to chart this new course by exploring questions about the future of PPPs.
The group explored the new research and thinking that enables many new types of collaboration beyond the typical “contract” based approaches. Through their discussions, Network members identified four shifts representing ways that cross-sector collaboration could evolve in the future:
- From Formal to Informal Trust Mechanisms;
- From Selection to Iterative and Inclusive Curation;
- From Partnership to Platform; and
- From Shared Risk to Shared Outcome….(More)”.
