Facial recognition needs a wider policy debate

Curated on Posted on by Stefaan Verhulst

Editorial Team of the Financial Times: “In his dystopian novel 1984, George Orwell warned of a future under the ever vigilant gaze of Big Brother. Developments in surveillance technology, in particular facial recognition, mean the prospect is no longer the stuff of science fiction.

In China, the government was this year found to have used facial recognition to track the Uighurs, a largely Muslim minority. In Hong Kong, protesters took down smart lamp posts for fear of their actions being monitored by the authorities. In London, the consortium behind the King’s Cross development was forced to halt the use of two cameras with facial recognition capabilities after regulators intervened. All over the world, companies are pouring money into the technology.

At the same time, governments and law enforcement agencies of all hues are proving willing buyers of a technology that is still evolving — and doing so despite concerns over the erosion of people’s privacy and human rights in the digital age. Flaws in the technology have, in certain cases, led to inaccuracies, in particular when identifying women and minorities.

The news this week that Chinese companies are shaping new standards at the UN is the latest sign that it is time for a wider policy debate. Documents seen by this newspaper revealed Chinese companies have proposed new international standards at the International Telecommunication Union, or ITU, a Geneva-based organisation of industry and official representatives, for things such as facial recognition. Setting standards for what is a revolutionary technology — one recently described as the “plutonium of artificial intelligence” — before a wider debate about its merits and what limits should be imposed on its use, can only lead to unintended consequences. Crucially, standards ratified in the ITU are commonly adopted as policy by developing nations in Africa and elsewhere — regions where China has long wanted to expand its influence. A case in point is Zimbabwe, where the government has partnered with Chinese facial recognition company CloudWalk Technology. The investment, part of Beijing’s Belt and Road investment in the country, will see CloudWalk technology monitor major transport hubs. It will give the Chinese company access to valuable data on African faces, helping to improve the accuracy of its algorithms….

Progress is needed on regulation. Proposals by the European Commission for laws to give EU citizens explicit rights over the use of their facial recognition data as part of a wider overhaul of regulation governing artificial intelligence are welcome. The move would bolster citizens’ protection above existing restrictions laid out under its general data protection regulation. Above all, policymakers should be mindful that if the technology’s unrestrained rollout continues, it could hold implications for other, potentially more insidious, innovations. Western governments should step up to the mark — or risk having control of the technology’s future direction taken from them….(More)”.

Artificial Intelligence and National Security

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CRS Report: “Artificial intelligence (AI) is a rapidly growing field of technology with potentially significant implications for national security. As such, the U.S. Department of Defense (DOD) and other nations are developing AI applications for a range of military functions. AI research is underway in the fields of intelligence collection and analysis, logistics, cyber operations, information operations, command and control, and in a variety of semiautonomous and autonomous vehicles.

Already, AI has been incorporated into military operations in Iraq and Syria. Congressional action has the potential to shape the technology’s development further, with budgetary and legislative decisions influencing the growth of military applications as well as the pace of their adoption.

AI technologies present unique challenges for military integration, particularly because the bulk of AI development is happening in the commercial sector. Although AI is not unique in this regard, the defense acquisition process may need to be adapted for acquiring emerging technologies like AI. In addition, many commercial AI applications must undergo significant modification prior to being functional for the military.

A number of cultural issues also challenge AI acquisition, as some commercial AI companies are averse to partnering with DOD due to ethical concerns, and even within the department, there can be resistance to incorporating AI technology into existing weapons systems and processes.

Potential international rivals in the AI market are creating pressure for the United States to compete for innovative military AI applications. China is a leading competitor in this regard, releasing a plan in 2017 to capture the global lead in AI development by 2030. Currently, China is primarily focused on using AI to make faster and more well-informed decisions, as well as on developing a variety of autonomous military vehicles. Russia is also active in military AI development, with a primary focus on robotics.

Although AI has the potential to impart a number of advantages in the military context, it may also introduce distinct challenges. AI technology could, for example, facilitate autonomous operations, lead to more informed military decisionmaking, and increase the speed and scale of military action. However, it may also be unpredictable or vulnerable to unique forms of manipulation. As a result of these factors, analysts hold a broad range of opinions on how influential AI will be in future combat operations. While a small number of analysts believe that the technology will have minimal impact, most believe that AI will have at least an evolutionary—if not revolutionary—effect….(More)”.

The Digital Roadmap

Curated on Posted on by Stefaan Verhulst

Report by the Pathway for Prosperity Commission: “The Digital Roadmap presents an overarching vision for a globally connected world that both delivers on the opportunities presented by technology, and limits downside risks. Importantly, it also sets out how this vision can be achieved.

Craft a digital compact for inclusive development

Embracing country-wide digital change will be disruptive. Navigating it requires coordinated action. Reconfiguring an economy will result in some resistance. The best way to achieve buy-in, and to balance trade-offs, is through dialogue: the private sector and civil society in its broadest sense (including community leaders, academia, trade unions, NGOs, and faith groups). The political economy of upheaval is difficult, but change can be managed with discussions that are inclusive of multiple groups. These dialogues should result in a national digital compact: a shared vision of the future to which everyone commits. The Pathways Commission has supported three countries – Ethiopia, Mongolia and South Africa – as they each developed country-wide digital strategies, using the Digital Economy Kit.

Put people at the centre of the digital future

Rapid technological affects peoples’ lives.Failure to put people at the centre of social and economic change can lead to social unrest. The pace and intensity of change means it’s all the more important that people are at the centre of the digital future – not the technology. This requires equipping people to benefit from opportunities, while also protecting them from the potential harms of the digital age. Governments should take responsibility for ensuring that vocational education is truly useful for workers and for business in the digital age. The private sector needs to be involved in keeping curricula up to date.

Build the digital essentials

Digital products and services cannot be created in a vacuum – essential components need to be in place: physical infrastructure, foundational digital systems (such as digital identification and mobile money), and capital to invest in innovation. These are the basic ingredients needed for existing firms to adopt more productive technologies, and for digital entrepreneurs to build and innovate. Having reliable infrastructure and interoperable systems means that firms and service providers can focus on their core business, without having to build an enabling environment from scratch.

Reach everyone with digital technologies

If technology is to be a force for development for everyone, it must reach everyone.Just over half of the world’s population is connected to a digital life; for the rest, digital opportunities don’t mean much. Without digital connections, people can’t participate in digital work platforms, benefit from new technologies in education, or engage with government services online. Women, people with lower levels of education, and people in poverty are usually those who lack digital access. Reaching everyone requires looking beyond current business models. The private sector needs to design for inclusion, ensuring the poorest and most marginalised consumers, to ensure they are not left even further behind.

Govern technology for the future

The unprecedented pace of change and emergence of new risks in the digital era (such as algorithmic bias, cybersecurity, and threats to privacy) are creating headaches for even the most well-resourced countries. For developing countries, the challenges are even bigger. Digital technologies fundamentally shape what people do and how they do it: freelancers may face algorithms that determine chances to get hired. Banks might face a financial system with heightened risk from new, non-bank deposit holders. These issues, and many others, require new and adaptive approaches to decision-making. Emerging global norms will need to consider the needs of developing countries….(More)”.

Government at a Glance 2019

Curated on Posted on by Stefaan Verhulst

OECD Report: “Government at a Glance provides reliable, internationally comparative data on government activities and their results in OECD countries. Where possible, it also reports data for Brazil, China, Colombia, Costa Rica, India, Indonesia, the Russian Federation and South Africa. In many public governance areas, it is the only available source of data. It includes input, process, output and outcome indicators as well as contextual information for each country.

The 2019 edition includes input indicators on public finance and employment; while processes include data on institutions, budgeting practices and procedures, human resources management, regulatory government, public procurement and digital government and open data. Outcomes cover core government results (e.g. trust, inequality reduction) and indicators on access, responsiveness, quality and citizen satisfaction for the education, health and justice sectors.

Governance indicators are especially useful for monitoring and benchmarking governments’ progress in their public sector reforms.Each indicator in the publication is presented in a user-friendly format, consisting of graphs and/or charts illustrating variations across countries and over time, brief descriptive analyses highlighting the major findings conveyed by the data, and a methodological section on the definition of the indicator and any limitations in data comparability….(More)”.

Voting could be the problem with democracy

Curated on Posted on by Stefaan Verhulst

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)”.

The Rising Threat of Digital Nationalism

Curated on Posted on by Stefaan Verhulst

Essay by Akash Kapur in the Wall Street Journal: “Fifty years ago this week, at 10:30 on a warm night at the University of California, Los Angeles, the first email was sent. It was a decidedly local affair. A man sat in front of a teleprinter connected to an early precursor of the internet known as Arpanet and transmitted the message “login” to a colleague in Palo Alto. The system crashed; all that arrived at the Stanford Research Institute, some 350 miles away, was a truncated “lo.”

The network has moved on dramatically from those parochial—and stuttering—origins. Now more than 200 billion emails flow around the world every day. The internet has come to represent the very embodiment of globalization—a postnational public sphere, a virtual world impervious and even hostile to the control of sovereign governments (those “weary giants of flesh and steel,” as the cyberlibertarian activist John Perry Barlow famously put it in his Declaration of the Independence of Cyberspace in 1996).

But things have been changing recently. Nicholas Negroponte, a co-founder of the MIT Media Lab, once said that national law had no place in cyberlaw. That view seems increasingly anachronistic. Across the world, nation-states have been responding to a series of crises on the internet (some real, some overstated) by asserting their authority and claiming various forms of digital sovereignty. A network that once seemed to effortlessly defy regulation is being relentlessly, and often ruthlessly, domesticated.

From firewalls to shutdowns to new data-localization laws, a specter of digital nationalism now hangs over the network. This “territorialization of the internet,” as Scott Malcomson, a technology consultant and author, calls it, is fundamentally changing its character—and perhaps even threatening its continued existence as a unified global infrastructure.

The phenomenon of digital nationalism isn’t entirely new, of course. Authoritarian governments have long sought to rein in the internet. China has been the pioneer. Its Great Firewall, which restricts what people can read and do online, has served as a model for promoting what the country calls “digital sovereignty.” China’s efforts have had a powerful demonstration effect, showing other autocrats that the internet can be effectively controlled. China has also proved that powerful tech multinationals will exchange their stated principles for market access and that limiting online globalization can spur the growth of a vibrant domestic tech industry.

Several countries have built—or are contemplating—domestic networks modeled on the Chinese example. To control contact with the outside world and suppress dissident content, Iran has set up a so-called “halal net,” North Korea has its Kwangmyong network, and earlier this year, Vladimir Putin signed a “sovereign internet bill” that would likewise set up a self-sufficient Runet. The bill also includes a “kill switch” to shut off the global network to Russian users. This is an increasingly common practice. According to the New York Times, at least a quarter of the world’s countries have temporarily shut down the internet over the past four years….(More)”

Artificial intelligence: From expert-only to everywhere

Curated on Posted on by Stefaan Verhulst

Deloitte: “…AI consists of multiple technologies. At its foundation are machine learning and its more complex offspring, deep-learning neural networks. These technologies animate AI applications such as computer vision, natural language processing, and the ability to harness huge troves of data to make accurate predictions and to unearth hidden insights (see sidebar, “The parlance of AI technologies”). The recent excitement around AI stems from advances in machine learning and deep-learning neural networks—and the myriad ways these technologies can help companies improve their operations, develop new offerings, and provide better customer service at a lower cost.

The trouble with AI, however, is that to date, many companies have lacked the expertise and resources to take full advantage of it. Machine learning and deep learning typically require teams of AI experts, access to large data sets, and specialized infrastructure and processing power. Companies that can bring these assets to bear then need to find the right use cases for applying AI, create customized solutions, and scale them throughout the company. All of this requires a level of investment and sophistication that takes time to develop, and is out of reach for many….

These tech giants are using AI to create billion-dollar services and to transform their operations. To develop their AI services, they’re following a familiar playbook: (1) find a solution to an internal challenge or opportunity; (2) perfect the solution at scale within the company; and (3) launch a service that quickly attracts mass adoption. Hence, we see Amazon, Google, Microsoft, and China’s BATs launching AI development platforms and stand-alone applications to the wider market based on their own experience using them.

Joining them are big enterprise software companies that are integrating AI capabilities into cloud-based enterprise software and bringing them to the mass market. Salesforce, for instance, integrated its AI-enabled business intelligence tool, Einstein, into its CRM software in September 2016; the company claims to deliver 1 billion predictions per day to users. SAP integrated AI into its cloud-based ERP system, S4/HANA, to support specific business processes such as sales, finance, procurement, and the supply chain. S4/HANA has around 8,000 enterprise users, and SAP is driving its adoption by announcing that the company will not support legacy SAP ERP systems past 2025.

A host of startups is also sprinting into this market with cloud-based development tools and applications. These startups include at least six AI “unicorns,” two of which are based in China. Some of these companies target a specific industry or use case. For example, Crowdstrike, a US-based AI unicorn, focuses on cybersecurity, while Benevolent.ai uses AI to improve drug discovery.

The upshot is that these innovators are making it easier for more companies to benefit from AI technology even if they lack top technical talent, access to huge data sets, and their own massive computing power. Through the cloud, they can access services that address these shortfalls—without having to make big upfront investments. In short, the cloud is democratizing access to AI by giving companies the ability to use it now….(More)”.

Beyond the Valley

Curated on Posted on by Stefaan Verhulst

Book by Ramesh Srinivasan: “How to repair the disconnect between designers and users, producers and consumers, and tech elites and the rest of us: toward a more democratic internet.

In this provocative book, Ramesh Srinivasan describes the internet as both an enabler of frictionless efficiency and a dirty tangle of politics, economics, and other inefficient, inharmonious human activities. We may love the immediacy of Google search results, the convenience of buying from Amazon, and the elegance and power of our Apple devices, but it’s a one-way, top-down process. We’re not asked for our input, or our opinions—only for our data. The internet is brought to us by wealthy technologists in Silicon Valley and China. It’s time, Srinivasan argues, that we think in terms beyond the Valley.

Srinivasan focuses on the disconnection he sees between designers and users, producers and consumers, and tech elites and the rest of us. The recent Cambridge Analytica and Russian misinformation scandals exemplify the imbalance of a digital world that puts profits before inclusivity and democracy. In search of a more democratic internet, Srinivasan takes us to the mountains of Oaxaca, East and West Africa, China, Scandinavia, North America, and elsewhere, visiting the “design labs” of rural, low-income, and indigenous people around the world. He talks to a range of high-profile public figures—including Elizabeth Warren, David Axelrod, Eric Holder, Noam Chomsky, Lawrence Lessig, and the founders of Reddit, as well as community organizers, labor leaders, and human rights activists. To make a better internet, Srinivasan says, we need a new ethic of diversity, openness, and inclusivity, empowering those now excluded from decisions about how technologies are designed, who profits from them, and who are surveilled and exploited by them….(More)”

Rethinking Encryption

Curated on Posted on by Stefaan Verhulst

Jim Baker at Lawfare: “…Public safety officials should continue to highlight instances where they find that encryption hinders their ability to effectively and efficiently protect society so that the public and lawmakers understand the trade-offs they are allowing. To do this, the Justice Department should, for example, file an annual public report describing, as best it can, the continuing nature and scope of the going dark problem. If necessary, it can also file a classified annual report with the appropriate congressional committees.

But, for the reasons discussed above, public safety officials should also become among the strongest supporters of widely available strong encryption.

I know full well that this approach will be a bitter pill for some in law enforcement and other public safety fields to swallow, and many people will reject it outright. It may make some of my former colleagues angry at me. I expect that some will say that I’m simply joining others who have left the government and switched sides on encryption to curry favor with the tech sector in order to get a job. That is wrong. My dim views about cybersecurity risks, China and Huawei are essentially the same as those that I held while in government. I also think that my overall approach on encryption today—as well as my frustration with Congress—is generally consistent with the approach I had while I was in government.

I have long said—as I do here—that encryption poses real challenges for public safety officials; that any proposed technical solution must properly balance all of the competing equities; and that (absent an unlikely definitive judicial ruling as a result of litigation) Congress must change the law to resolve the issue. What has changed is my acceptance of, or perhaps resignation to, the fact that Congress is unlikely to act, as well as my assessment that the relevant cybersecurity risks to society have grown disproportionately over the years when compared with other risks….(More)”.

The Promise of Data-Driven Drug Development

Curated on Posted on by Stefaan Verhulst

Report by the Center for Data Innovation: “From screening chemical compounds to optimizing clinical trials to improving post-market surveillance of drugs, the increased use of data and better analytical tools such as artificial intelligence (AI) hold the potential to transform drug development, leading to new treatments, improved patient outcomes, and lower costs. However, achieving the full promise of data-driven drug development will require the U.S. federal government to address a number of obstacles. This should be a priority for policymakers for two main reasons. First, enabling data-driven drug development will accelerate access to more effective and affordable treatments. Second, the competitiveness of the U.S. biopharmaceutical industry is at risk so long as these obstacles exist. As other nations, particularly China, pursue data-driven innovation, especially greater use of AI, foreign life sciences firms could become more competitive at drug development….(More)”.