Drivers of Trust in Public Institutions


Press Release: “In an increasingly challenging environment – marked by successive economic shocks, rising protectionism, the war in Europe and ongoing conflicts in the Middle East, as well as structural challenges and disruptions caused by rapid technological developments, climate change and population aging – 44% of respondents now have low or no trust in their national government, surpassing the 39% of respondents who express high or moderately high trust in national government, according to a new OECD report.  

OECD Survey on Drivers of Trust in Public Institutions – 2024 Results, presents findings from the second OECD Trust Survey, conducted in October and November 2023 across 30 Member countries. The biennial report offers a comprehensive analysis of current trust levels and their drivers across countries and public institutions. 

This edition of the Trust Survey confirms the previous finding that socio-economic and demographic factors, as well as a sense of having a say in decision making, affect trust. For example, 36% of women reported high or moderately high trust in government, compared to 43% of men. The most significant drop in trust since 2021 is seen among women and those with lower levels of education. The trust gap is largest between those who feel they have a say and those who feel they do not have a say in what the government does. Among those who report they have a say, 69% report high or moderately high trust in their national government, whereas among those who feel they do not only 22% do…(More)”.

Big Tech-driven deliberative projects


Report by Canning Malkin and Nardine Alnemr: “Google, Meta, OpenAI and Anthropic have commissioned projects based on deliberative democracy. What was the purpose of each project? How was deliberation designed and implemented, and what were the outcomes? In this Technical Paper, Malkin and Alnemr describe the commissioning context, the purpose and remit, and the outcomes of these deliberative projects. Finally, they offer insights on contextualising projects within the broader aspirations of deliberative democracy…(More)”.

Digital Ethology


Book edited by Tomáš Paus and Hye-Chung Kum: “Countless permutations of physical, built, and social environments surround us in space and time, influencing the air we breathe, how hot or cold we are, how many steps we take, and with whom we interact as we go about our daily lives. Assessing the dynamic processes that play out between humans and the environment is challenging. explores how aggregate area-level data, produced at multiple locations and points in time, can reveal bidirectional—and iterative—relationships between human behavior and the environment through their digital footprints.

Experts from geospatial and data science, behavioral and brain science, epidemiology and public health, ethics, law, and urban planning consider how humans transform their environments and how environments shape human behavior…(More)”.

Mapping the Landscape of AI-Powered Nonprofits


Article by Kevin Barenblat: “Visualize the year 2050. How do you see AI having impacted the world? Whatever you’re picturing… the reality will probably be quite a bit different. Just think about the personal computer. In its early days circa the 1980s, tech companies marketed the devices for the best use cases they could imagine: reducing paperwork, doing math, and keeping track of forgettable things like birthdays and recipes. It was impossible to imagine that decades later, the larger-than-a-toaster-sized devices would be smaller than the size of Pop-Tarts, connect with billions of other devices, and respond to voice and touch.

It can be hard for us to see how new technologies will ultimately be used. The same is true of artificial intelligence. With new use cases popping up every day, we are early in the age of AI. To make sense of all the action, many landscapes have been published to organize the tech stacks and private sector applications of AI. We could not, however, find an overview of how nonprofits are using AI for impact…

AI-powered nonprofits (APNs) are already advancing solutions to many social problems, and Google.org’s recent research brief AI in Action: Accelerating Progress Towards the Sustainable Development Goals shows that AI is driving progress towards all 17 SDGs. Three goals that stand out with especially strong potential to be transformed by AI are SDG 3 (Good Health and Well-Being), SDG 4 (Quality Education), and SDG 13 (Climate Action). As such, this series focuses on how AI-powered nonprofits are transforming the climate, health care, and education sectors…(More)”.

(Almost) 200 Years of News-Based Economic Sentiment


Paper by Jules H. van Binsbergen, Svetlana Bryzgalova, Mayukh Mukhopadhyay & Varun Sharma: “Using text from 200 million pages of 13,000 US local newspapers and machine learning methods, we construct a 170-year-long measure of economic sentiment at the country and state levels, that expands existing measures in both the time series (by more than a century) and the cross-section. Our measure predicts GDP (both nationally and locally), consumption, and employment growth, even after controlling for commonly-used predictors, as well as monetary policy decisions. Our measure is distinct from the information in expert forecasts and leads its consensus value. Interestingly, news coverage has become increasingly negative across all states in the past half-century…(More)”.

The Collaboverse: A Collaborative Data-Sharing and Speech Analysis Platform


Paper by Justin D. Dvorak and Frank R. Boutsen: “Collaboration in the field of speech-language pathology occurs across a variety of digital devices and can entail the usage of multiple software tools, systems, file formats, and even programming languages. Unfortunately, gaps between the laboratory, clinic, and classroom can emerge in part because of siloing of data and workflows, as well as the digital divide between users. The purpose of this tutorial is to present the Collaboverse, a web-based collaborative system that unifies these domains, and describe the application of this tool to common tasks in speech-language pathology. In addition, we demonstrate its utility in machine learning (ML) applications…

This tutorial outlines key concepts in the digital divide, data management, distributed computing, and ML. It introduces the Collaboverse workspace for researchers, clinicians, and educators in speech-language pathology who wish to improve their collaborative network and leverage advanced computation abilities. It also details an ML approach to prosodic analysis….

The Collaboverse shows promise in narrowing the digital divide and is capable of generating clinically relevant data, specifically in the area of prosody, whose computational complexity has limited widespread analysis in research and clinic alike. In addition, it includes an augmentative and alternative communication app allowing visual, nontextual communication…(More)”.

Diversity in Artificial Intelligence Conferences


Report by the divinAI (Diversity in Artificial Intelligence) Project: “…provides a set of diversity indicators for seven core artificial intelligence (AI) conferences from 2007 to 2023: the International Joint Conference on Artificial Intelligence (IJCAI), the Annual Association for the Advancement of Artificial Intelligence (AAAI) Conference, the International Conference on Machine Learning (ICML), Neural Information Processing Systems (NeurIPS) Conference, the Association for Computing Machinery (ACM) Recommender Systems (RecSys) Conference, the European Conference on Artificial Intelligence (ECAI) and the European Conference on Machine Learning/Practice of Knowledge Discovery in Databases (ECML/PKDD) .
We observe that, in general, Conference Diversity Index (CDI) values are still low for the selected conferences, although showing a slight temporal improvement thanks to diversity initiatives in the AI field. We also note slight differences between conferences, being RecSys the one with higher comparative diversity indicators, followed by general AI conferences (IJCAI, ECAI and AAAI). The selected Machine Learning conferences NeurIPS and ICML seem to provide lower values for diversity indicators.
Regarding the different dimensions of diversity, gender diversity reflects a low proportion of female authors in all considered conferences, even given current gender diversity efforts in the field, which is in line with the low presence of women in technological fields. In terms of country distribution, we observe a notable presence of researchers from the EU, US and China in the selected conferences, where the presence of Chinese authors has increased in the last few years. Regarding institutions, universities and research centers or institutes play a central role in the AI scientific conferences under analysis, and the presence of industry seems to be more notable in machine learning conferences. An online dashboard that allows exploration and reproducibility complements the report…(More)”.

Against Elections: The Lottocratic Alternative


Paper by Alexander A. Guerrero: “It is widely accepted that electoral representative democracy is better — along a number of different normative dimensions — than any other alternative lawmaking political arrangement. It is not typically seen as much of a competition: it is also widely accepted that the only legitimate alternative to electoral representative democracy is some form of direct democracy, but direct democracy — we are told — would lead to bad policy. This article makes the case that there is a legitimate alternative system — one that uses lotteries, not elections, to select political officials — that would be better than electoral representative democracy. Part I diagnoses two significant failings of modern-day systems of electoral representative government: the failure of responsiveness and the failure of good governance. The argument offered suggests that these flaws run deep, so that even significant and politically unlikely reforms with respect to campaign finance and election law would make little difference. Although my distillation of the argument is novel, the basic themes will likely be familiar. I anticipate the initial response to the argument may be familiar as well: the Churchillian shrug. Parts II, III, and IV of this article represent the beginning of an effort to move past that response, to think about alternative political systems that might avoid some of the problems with the electoral representative system without introducing new and worse problems. In the second and third parts of the article, I outline an alternative political system, the lottocratic system, and present some of the virtues of such a system. In the fourth part of the article, I consider some possible problems for the system. The overall aims of this article are to raise worries for electoral systems of government, to present the lottocratic system and to defend the view that this system might be a normatively attractive alternative, removing a significant hurdle to taking a non-electoral system of government seriously as a possible improvement to electoral democracy…(More)”

Protecting Policy Space for Indigenous Data Sovereignty Under International Digital Trade Law


Paper by Andrew D. Mitchell and Theo Samlidis: “The impact of economic agreements on Indigenous peoples’ broader rights and interests has been subject to ongoing scrutiny. Technological developments and an increasing emphasis on Indigenous sovereignty within the digital domain have given rise to a global Indigenous data sovereignty movement, surfacing concerns about how international economic law impacts Indigenous peoples’ sovereignty over their data. This Article examines the policy space certain governments have reserved under international economic agreements to introduce measures for protecting Indigenous data or digital sovereignty (IDS). We argue that treaty countries have secured, under recent international digital trade chapters and agreements, the benefits of a comprehensive economic treaty and sufficient regulatory autonomy to protect Indigenous data sovereignty…(More)”

The Digital Economy Report 2024


Report by UNCTAD: “…underscores the urgent need for environmentally sustainable and inclusive digitalization strategies.

Digital technology and infrastructure depend heavily on raw materials, and the production and disposal of more and more devices, along with growing water and energy needs are taking an increasing toll on the planet.

For example, the production and use of digital devices, data centres and information and communications technology (ICT) networks account for an estimated 6% to 12% of global electricity use.

Developing countries bear the brunt of the environmental costs of digitalization while reaping fewer benefits. They export low value-added raw materials and import high value-added devices, along with increasing digital waste. Geopolitical tensions over critical minerals, abundant in many of these countries, complicate the challenges.

The report calls for bold action from policymakers, industry leaders and consumers. It urges a global shift towards a circular digital economy, focusing on circularity by design through durable products, responsible consumption, reuse and recycling, and sustainable business models…(More)”.