Artificial Intelligence: Risks to Privacy and Democracy

Curated on Posted on by Stefaan Verhulst

Karl Manheim and Lyric Kaplan at Yale Journal of Law and Technology: “A “Democracy Index” is published annually by the Economist. For 2017, it reported that half of the world’s countries scored lower than the previous year. This included the United States, which was demoted from “full democracy” to “flawed democracy.” The principal factor was “erosion of confidence in government and public institutions.” Interference by Russia and voter manipulation by Cambridge Analytica in the 2016 presidential election played a large part in that public disaffection.

Threats of these kinds will continue, fueled by growing deployment of artificial intelligence (AI) tools to manipulate the preconditions and levers of democracy. Equally destructive is AI’s threat to decisional andinforma-tional privacy. AI is the engine behind Big Data Analytics and the Internet of Things. While conferring some consumer benefit, their principal function at present is to capture personal information, create detailed behavioral profiles and sell us goods and agendas. Privacy, anonymity and autonomy are the main casualties of AI’s ability to manipulate choices in economic and political decisions.

The way forward requires greater attention to these risks at the nation-al level, and attendant regulation. In its absence, technology giants, all of whom are heavily investing in and profiting from AI, will dominate not only the public discourse, but also the future of our core values and democratic institutions….(More)”.

Constitutional democracy and technology in the age of artificial intelligence

Curated on Posted on by Stefaan Verhulst

Paper by Paul Nemitz: “Given the foreseeable pervasiveness of artificial intelligence (AI) in modern societies, it is legitimate and necessary to ask the question how this new technology must be shaped to support the maintenance and strengthening of constitutional democracy.

This paper first describes the four core elements of today’s digital power concentration, which need to be seen in cumulation and which, seen together, are both a threat to democracy and to functioning markets. It then recalls the experience with the lawless Internet and the relationship between technology and the law as it has developed in the Internet economy and the experience with GDPR before it moves on to the key question for AI in democracy, namely which of the challenges of AI can be safely and with good conscience left to ethics, and which challenges of AI need to be addressed by rules which are enforceable and encompass the legitimacy of democratic process, thus laws.

The paper closes with a call for a new culture of incorporating the principles of democracy, rule of law and human rights by design in AI and a three-level technological impact assessment for new technologies like AI as a practical way forward for this purpose….(More)”.

Information and Technology in Open Justice

Curated on Posted on by Stefaan Verhulst

Introduction by Mila Gasco-Hernandez and Carlos Jimenez-Gomezto to Special Issue of Social Science Computer Review:  “The topic of open justice has only been little explored perhaps due to its traditionally having been considered a “closed” field. There is still a need to know what open justice really means, to explore the use of information and technology in enabling open justice, and to understand what openness in the judiciary can do to improve government, society, and democracy. This special issue aims to shed light on the concept of openness in the judiciary by identifying and analyzing initiatives across the world….(More)”.

Global Indicators of Regulatory Governance

Curated on Posted on by Stefaan Verhulst

The World Bank: “The Global Indicators of Regulatory Governance project is an initiative of the World Bank’s Global Indicators Group, which produces a range of datasets and benchmarking products on regulations and business activity around the world. These datasets include Doing Business, Enterprise Surveys, Enabling the Business of Agriculture and Women, Business and the Law.

The Global Indicators of Regulatory Governance project explores how governments interact with the public when shaping regulations that affect their business community. Concerned stakeholders could be professional associations, civic groups or foreign investors. The project charts how interested groups learn about new regulations being considered, and the extent to which they are able to engage with officials on the content. It also measures whether or not governments assess the possible impact of new regulations in their countries (including economic, social and environmental considerations) and whether those calculations form part of the public consultation. Finally, Global Indicators of Regulatory Governance capture two additional components of a predictable regulatory environment: the ability of stakeholders to challenge regulations, and the ability of people to access all the laws and regulations currently in force in one, consolidated place.

http://rulemaking.worldbank.org/en/about-usThe project grew out of an increasing recognition of the importance of transparency and accountability in government actions. Citizen access to the government rulemaking process is central for the creation of a business environment in which investors make long-range plans and investments. Greater levels of consultation are also associated with a higher quality of regulation….(More)”

Regulating the Regulators: Tracing the Emergence of the Political Transparency Laws in Chile

Curated on Posted on by Stefaan Verhulst

Conference Paper by Bettina Schorr: “Due to high social inequalities and weak public institutions, political corruption and the influence of business elites on policy-makers are widespread in the Andean region. The consequences for the opportunities of sustainable development are serious: regulation limiting harmful business activities or (re-)distributive reforms are difficult to achieve and public resources often end up as private gains instead of serving development purposes.

Given international and domestic pressures, political corruption has reached the top of the political agendas in many countries. However, frequently transparency goals do not materialize into new binding policies or, when reforms are enacted, they suffer from severe implementation gaps.

The paper analyses transparency politics in Chile where a series of reforms regarding political transparency were implemented since 2014. Hence, Chile counts among the few successful cases in the region. By tracing the process that led to the emergence of new transparency policies in Chile, the paper elaborates an analytical framework for the explanation of institutional innovation in the case of political transparency. In particular, the study emphasizes the importance of civil society actors´ involvement in the whole policy cycle, particularly in the stages of formulation, implementation and evaluation….(More)”.

NHS Pulls Out Of Data-Sharing Deal With Home Office Immigration Enforcers

Curated on Posted on by Stefaan Verhulst

Jasmin Gray at Huffington Post: “The NHS has pulled out of a controversial data-sharing arrangement with the Home Office which saw confidential patients’ details passed on to immigration enforcers.

In May, the government suspended the ‘memorandum of understanding’ agreement between the health service and the Home Office after MPs, doctors and health charities warned it was leaving seriously ill migrants too afraid to seek medical treatment. 

But on Tuesday, NHS Digital announced that it was cutting itself out of the agreement altogether. 

“NHS Digital has received a revised narrowed request from the Home Office and is discussing this request with them,” a spokesperson for the data-branch of the health service said, adding that they have “formally closed-out our participation” in the previous memorandum of understanding. 

The anxieties of “multiple stakeholder communities” to ensure the agreement made by the government was respected was taken into account in the decision, they added. 

Meanwhile, the Home Office confirmed it was working to agree a new deal with NHS Digital which would only allow it to make requests for data about migrants “facing deportation action because they have committed serious crimes, or where information necessary to protect someone’s welfare”. 

The move has been welcomed by campaigners, with Migrants’ Rights Network director Rita Chadra saying that many migrants had missed out on “the right to privacy and access to healthcare” because of the data-sharing mechanism….(More)”.

Better “nowcasting” can reveal what weather is about to hit within 500 meters

Curated on Posted on by Stefaan Verhulst

MIT Technology Review: “Weather forecasting is impressively accurate given how changeable and chaotic Earth’s climate can be. It’s not unusual to get 10-day forecasts with a reasonable level of accuracy.

But there is still much to be done.  One challenge for meteorologists is to improve their “nowcasting,” the ability to forecast weather in the next six hours or so at a spatial resolution of a square kilometer or less.

In areas where the weather can change rapidly, that is difficult. And there is much at stake. Agricultural activity is increasingly dependent on nowcasting, and the safety of many sporting events depends on it too. Then there is the risk that sudden rainfall could lead to flash flooding, a growing problem in many areas because of climate change and urbanization. That has implications for infrastructure, such as sewage management, and for safety, since this kind of flooding can kill.

So meteorologists would dearly love to have a better way to make their nowcasts.

Enter Blandine Bianchi from EPFL in Lausanne, Switzerland, and a few colleagues, who have developed a method for combining meteorological data from several sources to produce nowcasts with improved accuracy. Their work has the potential to change the utility of this kind of forecasting for everyone from farmers and gardeners to emergency services and sewage engineers.

Current forecasting is limited by the data and the scale on which it is gathered and processed. For example, satellite data has a spatial resolution of 50 to 100 km and allows the tracking and forecasting of large cloud cells over a time scale of six to nine hours. By contrast, radar data is updated every five minutes, with a spatial resolution of about a kilometer, and leads to predictions on the time scale of one to three hours. Another source of data is the microwave links used by telecommunications companies, which are degraded by rainfall….(More)”

The Janus Face of the Liberal Information Order

Curated on Posted on by Stefaan Verhulst

Paper by Henry Farrell and Abraham L. Newman: “…Domestically, policy-makers and scholars argued that information openness, like economic openness, would go hand-in-glove with political liberalization and the spread of democratic values. This was perhaps, in part an accident of timing: the Internet – which seemed to many to be inherently resistant to censorship – burgeoned shortly after the collapse of Communism in the Soviet Union and Eastern Europe. Politicians celebrated the dawn of a new era of open communication, while scholars began to argue that the spread of the Internet would lead to the spread of democracy (Diamond 2010;Shirky 2008).

A second wave of literature suggested that Internet-based social media had played a crucial role in spreading freedom in the Arab Spring (Howard 2010; Hussain and Howard 2013). There were some skeptics who highlighted the vexed relationship between open networks and the closed national politics of autocracies (Goldsmith and Wu 2006), or who pointed out that the Internet was nowhere near as censorship-resistant as early optimists had supposed (Deibert et al. 2008). Even these pessimists seemed to believe that the Internet could bolster liberalism in healthy democracies, although it would by no means necessarily prevail over tyranny.

The international liberal order for information, however, finds itself increasingly on shaky ground. Non-democratic regimes ranging from China to Saudi Arabia have created domestic technological infrastructures, which undermine and provide an alternative to the core principles of the regime (Boas 2006; Deibert 2008).

The European Union, while still generally supportive of open communication and free speech, has grown skeptical of the regime’s focus on unfettered economic access and has used privacy and anti-trust policy to challenge its most neo-liberal elements (Newman 2008). Non-state actors like Wikileaks have relied on information openness as a channel of disruption and perhaps manipulation. 

More troubling are the arguments of a new literature – that open information flows are less a harbinger of democracy than a vector of attack…

How can IR scholars make sense of this Janus-face quality of information? In this brief memo, we argue that much of the existing work on information technology and information flows suffers from two key deficiencies.

First – there has been an unhelpful separation between two important debates about information flows and liberalism. One – primarily focused on the international level – concerned global governance of information networks, examining how states (especially the US) arrived at and justified their policy stances, and how power dynamics shaped the battles between liberal and illiberal states over what the relevant governance arrangements should be (Klein 2002; Singh 2008; Mueller 2009). …

This leads to the second problem – that research has failed to appreciate the dynamics of contestation over time…(More)”

What’s inside the black box of digital innovation?

Curated on Posted on by Stefaan Verhulst

George Atalla at Ernst and Young: “Analysis of the success or failure of government digital transformation projects tends to focus on the technology that has been introduced. Seldom discussed is the role played by organizational culture and by a government’s willingness to embrace new approaches and working practices. And yet factors such as an ability to transcend bureaucratic working styles and collaborate with external partners are just as vital to success as deploying the right IT…

The study, Inside the Black Box: Journey Mapping Digital Innovation in Government, used a range of qualitative research tools including rich pictures, journey maps and self-reporting questionnaires to tease out individual characteristics of team members, team sentiment, organizational governance and the role played by cultural factors. The approach was unique in that it captured the nuances of the process of digital innovation, rather than merely measuring inputs and outputs.

The aim of the study was to look inside the “black box” of digital transformation to find out what really goes on within the teams responsible for delivery. In every case, the implementation journey involved ups and downs, advances and setbacks, but there were always valuable lessons to learn. We have extracted the six key insights for governments, outlined below, to provide guidance for government and public sector leaders who are embarking on their own innovation journey…(More)”.

Statistics and data science degrees: Overhyped or the real deal?

Curated on Posted on by Stefaan Verhulst

 at The Conversation: “Data science” is hot right now. The number of undergraduate degrees in statistics has tripled in the past decade, and as a statistics professor, I can tell you that it isn’t because freshmen love statistics.

Way back in 2009, economist Hal Varian of Google dubbed statistician the “next sexy job.” Since then, statistician, data scientist and actuary have topped various “best jobs” lists. Not to mention the enthusiastic press coverage of industry applications: Machine learning! Big data! AI! Deep learning!

But is it good advice? I’m going to voice an unpopular opinion for the sake of starting a conversation. Stats is indeed useful, but not in the way that the popular media – and all those online data science degree programs – seem to suggest….

While all the press tends to go to the sensationalist applications – computers that watch cat videos, anyone? – the data science boom reflects a broad increase in demand for data literacy, as a baseline requirement for modern jobs.

The “big data era” doesn’t just mean large amounts of data; it also means increased ease and ability to collect data of all types, in all walks of life. Although the big five tech companies – Google, Apple, Amazon, Facebook and Microsoft – represent about 10 percent of the U.S. market cap and dominate the public imagination, they employ only one-half of one percent of all employees.

Therefore, to be a true revolution, data science will need to infiltrate nontech industries. And it is. The U.S. has seen its impact on political campaigns. I myself have consulted in the medical devices sector. A few years back, Walmart held a data analysis competition as a recruiting tool. The need for people that can dig into the data and parse it is everywhere.

In a speech at the National Academy of Sciences in 2015, Steven “Freakonomics” Levitt related his insights about the need for data-savvy workers, based on his experience as a sought-after consultant in fields ranging from the airline industry to fast food….(More)”.