Essential Elements and Ethical Principles for Trustworthy Artificial Intelligence Adoption in Courts


Paper by Carlos E. Jimenez-Gomez and Jesus Cano Carrillo: “Tasks in courts have rapidly evolved from manual to digital work. In these innovation processes, theory and practice have demonstrated that adopting technology per se is not the right path. Innovation in courts requires specific plans for digital transformation, including analysis, programmatic changes, or skills. Artificial Intelligence (AI) is not an exception.
The use of AI in courts is not futuristic. From efficiency to decision-making support, AI-based tools are already being used by U.S. courts. To cite some examples, AI tools allow the discovery of divergences, disparities, and dissonances in jurisdictional activity. At a higher level, AI helps improve internal organization. AI helps with judicial decision consistency, exploiting a large judicial knowledge base in the form of big data, and it makes the judge’s work more agile with pattern and linguistic recognition in documents, identifying schemes and conceptualizations.

AI could bring considerable benefits to the judicial system. However, the risks and challenges are also
enormous, posing unique hurdles for user trust…

This article defines AI in relation to courts to understand challenges and implications and reviews AI components with a special focus on characteristics of trustworthy AI. It also examines the importance of a new policy and regulatory framework, and makes recommendations to avoid major problems…(More)”

Towards a permanent citizens’ participatory mechanism in the EU


Report by Alberto Alemanno: “This study, commissioned by the European Parliament’s Policy Department for Citizens’ Rights and Constitutional Affairs at the request of the AFCO Committee, examines the EU participatory system and its existing participatory channels against mounting citizens’ expectations for greater participation in EU decision making in the aftermath of the Conference on the Future of Europe. It proposes the creation of a permanent deliberative mechanism entailing the participation of randomly selected citizens tasked to provide advice upon some of the proposals originating from either existing participation channels or the EU institutions, in an attempt at making the EU more democratically responsive…(More)”

All Democracy Is Global


Article by  Larry Diamond: “The world is mired in a deep, diffuse, and protracted democratic recession. According to Freedom House, 2021 was the 16th consecutive year in which more countries declined in freedom than gained. Tunisia, the sole democracy to emerge from the Arab Spring protests that began in 2010, is morphing into a dictatorship. In countries as diverse as Bangladesh, Hungary, and Turkey, elections have long ceased to be democratic. Autocrats in Algeria, Belarus, Ethiopia, Sudan, Turkey, and Zimbabwe have clung to power despite mounting public demands for democratization. In Africa, seven democracies have slid back into autocracy since 2015, including Benin and Burkina Faso.

Democracy is looking shaky even in countries that hold free and fair elections. In emerging-market behemoths such as Brazil, India, and Mexico, democratic institutions and norms are under attack. Brazilian President Jair Bolsonaro has made threats of an autogolpe (self-coup) and a possible return to military rule if he does not win reelection in October. Indian Prime Minister Narendra Modi has steadily chipped away at press freedoms, minority rights, judicial independence, the integrity of the civil service, and the autonomy of civil society. Mexican President Andrés Manuel López Obrador has attempted to silence critics and remove democratic checks and balances.

Democratic prospects have risen and fallen in decades past, but they now confront a formidable new problem: democracy is at risk in the very country that has traditionally been its most ardent champion. Over the past dozen years, the United States has experienced one of the biggest declines in political rights and civil liberties of any country measured by the Freedom House annual survey. The Economist now ranks the United States as a “flawed democracy” behind Spain, Costa Rica, and Chile. U.S. President Donald Trump deserves much of the blame: he abused presidential power on a scale unprecedented in U.S. history and, after being voted out of office, propagated the “Big Lie” of election fraud and incited the violent rioters who stormed the U.S. Capitol on January 6, 2021. But American democracy was in peril before Trump assumed office, with rising polarization exposing acute flaws in American democratic institutions. The Electoral College, the representational structure of the Senate, the Senate filibuster, the brazen gerrymandering of House districts, and lifetime appointments to the Supreme Court have all made it possible for a political minority to exert prolonged outsize influence.

Can a country in the throes of its own democratic decay do anything to arrest the broader global decline? For many, the answer is no…(More)”.

Supporting peace negotiations in the Yemen war through machine learning


Paper by Miguel Arana-Catania, Felix-Anselm van Lier and Rob Procter: “Today’s conflicts are becoming increasingly complex, fluid, and fragmented, often involving a host of national and international actors with multiple and often divergent interests. This development poses significant challenges for conflict mediation, as mediators struggle to make sense of conflict dynamics, such as the range of conflict parties and the evolution of their political positions, the distinction between relevant and less relevant actors in peace-making, or the identification of key conflict issues and their interdependence. International peace efforts appear ill-equipped to successfully address these challenges. While technology is already being experimented with and used in a range of conflict related fields, such as conflict predicting or information gathering, less attention has been given to how technology can contribute to conflict mediation. This case study contributes to emerging research on the use of state-of-the-art machine learning technologies and techniques in conflict mediation processes. Using dialogue transcripts from peace negotiations in Yemen, this study shows how machine-learning can effectively support mediating teams by providing them with tools for knowledge management, extraction and conflict analysis. Apart from illustrating the potential of machine learning tools in conflict mediation, the article also emphasizes the importance of interdisciplinary and participatory, cocreation methodology for the development of context-sensitive and targeted tools and to ensure meaningful and responsible implementation…(More)”.

New WHO policy requires sharing of all research data


Press release: “Science and public health can benefit tremendously from sharing and reuse of health data. Sharing data allows us to have the fullest possible understanding of health challenges, to develop new solutions, and to make decisions using the best available evidence.

The Research for Health department has helped spearhead the launch of a new policy from the Science Division which covers all research undertaken by or with support from WHO. The goal is to make sure that all research data is shared equitably, ethically and efficiently. Through this policy, WHO indicates its commitment to transparency in order to reach the goal of one billion more people enjoying better health and well-being.

The WHO policy is accompanied by practical guidance to enable researchers to develop and implement a data management and sharing plan, before the research has even started. The guide provides advice on the technical, ethical and legal considerations to ensure that data, even patient data, can be shared for secondary analysis without compromising personal privacy.  Data sharing is now a requirement for research funding awarded by WHO and TDR. 

“We have seen the problems caused by the lack of data sharing on COVID-19,” said Dr. Soumya Swaminathan, WHO Chief Scientist. “When data related to research activities are shared ethically, equitably and efficiently, there are major gains for science and public health.”

The policy to share data from all research funded or conducted by WHO, and practical guidance to do so, can be found here…(More)”.

Towards an international data governance framework


Paper by Steve MacFeely et al: “The CCSA argued that a Global Data Compact (GDC) could provide a framework to ensure that data are safeguarded as a global public good and as a resource to achieve equitable and sustainable development. This compact, by promoting common objectives, would help avoid fragmentation where each country or region adopts their own approach to data collection, storage, and use. A coordinated approach would give individuals and enterprises confidence that data relevant to them carries protections and obligations no matter where they are collected or used…

The universal principles and standards should set out the elements of responsible and ethical handling and sharing of data and data products. The compact should also move beyond simply establishing ethical principles and create a global architecture that includes standards and incentives for compliance. Such an architecture could be the foundation for rethinking the data economy, promoting open data, encouraging data exchange, fostering innovation and facilitating international trade. It should build upon the existing canon of international human rights and other conventions, laws and treaties that set out useful principles and compliance mechanisms.

Such a compact will require a new type of global architecture. Modern data ecosystems are not controlled by states alone, so any Compact, Geneva Convention, Commons, or Bretton Woods type agreement will require a multitude of stakeholders and signatories – states, civil society, and the private sector at the very least. This would be very different to any international agreement that currently exists. Therefore, to support a GDC, a new global institution or platform may be needed to bring together the many data communities and ecosystems, that comprise not only national governments, private sector and civil society but also participants in specific fields, such as artificial intelligence, digital and IT services. Participants would maintain and update data standards, oversee accountability frameworks, and support mechanisms to facilitate the exchange and responsible use of data. The proposed Global Digital Compact which has been proposed as part of Our Common Agenda will also need to address the challenges of bringing many different constituencies together and may point the way…(More)”

Co-Producing Sustainability Research with Citizens: Empirical Insights from Co-Produced Problem Frames with Randomly Selected Citizens


Paper by Mareike Blum: “In sustainability research, knowledge co-production can play a supportive role at the science-policy interface (Norström et al., 2020). However, so far most projects involved stakeholders in order to produce ‘useful knowledge’ for policy-makers. As a novel approach, research projects have integrated randomly selected citizens during the knowledge co-production to make policy advice more reflective of societal perspectives and thereby increase its epistemic quality. Researchers are asked to consider citizens’ beliefs and values and integrate these in their ongoing research. This approach rests on pragmatist philosophy, according to which a joint deliberation on value priorities and anticipated consequences of policy options ideally allows to co-develop sustainable and legitimate policy pathways (Edenhofer & Kowarsch, 2015; Kowarsch, 2016). This paper scrutinizes three promises of involving citizens in the problem framing: (1) creating input legitimacy, (2) enabling social learning among citizens and researchers and (3) resulting in high epistemic quality of the co-produced knowledge. Based on empirical data the first phase of two research projects in Germany were analysed and compared: The Ariadne research project on the German Energy Transition, and the Biesenthal Forest project at the local level in Brandenburg, Germany. We found that despite barriers exist; learning was enabled by confronting researchers with problem perceptions of citizens. The step when researchers interpret and translate problem frames in the follow-up knowledge production is most important to assess learning and epistemic quality…(More)”.

A Massive LinkedIn Study Reveals Who Actually Helps You Get That Job


Article by Viviane Callier : “If you want a new job, don’t just rely on friends or family. According to one of the most influential theories in social science, you’re more likely to nab a new position through your “weak ties,” loose acquaintances with whom you have few mutual connections. Sociologist Mark Granovetter first laid out this idea in a 1973 paper that has garnered more than 65,000 citations. But the theory, dubbed “the strength of weak ties,” after the title of Granovetter’s study, lacked causal evidence for decades. Now a sweeping study that looked at more than 20 million people on the professional social networking site LinkedIn over a five-year period finally shows that forging weak ties does indeed help people get new jobs. And it reveals which types of connections are most important for job hunters…Along with job seekers, policy makers could also learn from the new paper. “One thing the study highlights is the degree to which algorithms are guiding fundamental, baseline, important outcomes, like employment and unemployment,” Aral says. The role that LinkedIn’s People You May Know function plays in gaining a new job demonstrates “the tremendous leverage that algorithms have on employment and probably other factors of the economy as well.” It also suggests that such algorithms could create bellwethers for economic changes: in the same way that the Federal Reserve looks at the Consumer Price Index to decide whether to hike interest rates, Aral suggests, networks such as LinkedIn might provide new data sources to help policy makers parse what is happening in the economy. “I think these digital platforms are going to be an important source of that,” he says…(More)”

Global Digital Governance Through the Back Door of Corporate Regulation


Paper by Orit Fischman Afori: “Today, societal life is increasingly conducted in the digital sphere, in which two core attributes are prominent: this sphere is entirely controlled by enormous technology companies, and these companies are increasingly deploying artificial intelligence (AI) technologies. This reality generates a severe threat to democratic principles and human rights. Therefore, regulating the conduct of the companies ruling the digital sphere is an urgent agenda worldwide. Policymakers and legislatures around the world are taking their first steps in establishing a digital governance regime, with leading proposals in the EU. Although it is understood that there is a necessity to adopt a comprehensive framework for imposing accountability standards on technology companies and on the operation of AI technologies, traditional perceptions regarding the limits of intervention in the private sector and contemporary perceptions regarding the limits of antitrust tools hinder such legal moves.

Given the obstacles inherent in the use of existing legal means for introducing a digital governance regime, this article proposes a new path of corporate governance regulations. The proposal, belonging to a “second wave” of regulatory models for the digital sphere, is based on the understanding that the current complex technological reality requires sophisticated and pragmatic legal measures for establishing an effective framework for digital governance norms. Corporate governance is a system of rules and practices by which companies are guided and controlled. Because the digital sphere is governed by private corporations, it seems reasonable to introduce the desired digital governance principles through a framework that regulates corporations. The bedrock of corporate governance is promoting principles of corporate accountability, which are translated into a wide array of obligations. In the last two decades, corporate accountability has evolved into a new domain of corporate social responsibility (CSR), promoting environmental, social, and governance (ESG) purposes not aimed at maximizing profits in the short term. The various benefits of the complex corporate governance mechanisms may be used to promote the desired digital governance regime that would be applied by the technology companies. A key advantage of the corporate governance mechanism is its potential to serve as a vehicle to promulgate norms in the era of multinational corporations. Because the digital sphere is governed by a few giant US companies, corporate governance may be leveraged to promote digital governance principles with a global reach in a uniform manner…(More)”

Overcoming Data Graveyards in Official Statistics: Catalyzing Uptake and Use


Report by Trends and Open Data Watch: “The world is awash in information. Every day, an estimated 1.1 billion gigabytes of data are produced, and this number will increase as mobile connections continue to expand and new ways of gathering data are incorporated by the private and public sectors to improve their products and services. The volume of statistics published by government agencies such as National Statistics Offices (NSOs) has also grown. New technologies offer new ways of gathering, storing, and disseminating data and producers of official statistics are releasing more information in more detailed ways through data portals and other mechanisms than ever before.

Once produced, data may live forever, but far too often, the data produced are not what data users are looking for or users lack the awareness or technical skill to use the data. As a result, data fall into data graveyards (Custer, 2017) where they go unutilized and prevent evidence-informed policies from being made. This is dangerous particularly at a time when intersecting crises like the COVID-19 pandemic, climate change, and energy and food insecurity put a premium on decision-making that incorporates the best data. In addition, public sector producers of data, who do so using public funds, need evidence of the use of their data to justify investments in data.

Data use remains a complex topic, with many policymakers and managers in national statistical system agencies unclear about this issue and how to improve their practices to ensure uptake and use. With conceptual clarity and best practices in hand, these actors can improve their practices and better address the needs of data users, while recognizing that a ‘one size fits all’ approach will not be suitable for countries at various stages of statistical capacity….(More)”