From Ethics Washing to Ethics Bashing: A View on Tech Ethics from Within Moral Philosophy


Paper by Elettra Bietti: “The word ‘ethics’ is overused in technology policy circles. Weaponized in support of deregulation, self-regulation or hands-off governance, “ethics” is increasingly identified with technology companies’ self-regulatory efforts and with shallow appearances of ethical behavior. So-called “ethics washing” by tech companies is on the rise, prompting criticism and scrutiny from scholars and the tech community at large. In parallel to the growth of ethics washing, its condemnation has led to a tendency to engage in “ethics bashing.” This consists in the trivialization of ethics and moral philosophy now understood as discrete tools or pre-formed social structures such as ethics boards, self-governance schemes or stakeholder groups.

The misunderstandings underlying ethics bashing are at least three-fold: (a) philosophy is understood in opposition and as alternative to law, political representation and social organizing; (b) philosophy and “ethics” are seen as a formalistic methodology, vulnerable to instrumentalization and abuse, and thus ontologically flawed; and (c) engagement in moral philosophy is downplayed and portrayed as mere “ivory tower” intellectualization of complex problems that need to be dealt with through alternative and more practical methodologies.

This essay argues that the rhetoric of ethics and morality should not be reductively instrumentalized, either by the industry in the form of “ethics washing,” or by scholars and policy-makers in the form of “ethics bashing.” Grappling with the role of philosophy and ethics requires moving beyond simplification and seeing ethics as a mode of inquiry that facilitates the evaluation of competing tech policy strategies. In other words, we must resist narrow reductivism of moral philosophy as instrumentalized performance and renew our faith in its intrinsic moral value as a mode of knowledge-seeking and inquiry. Far from mandating a self-regulatory scheme or a given governance structure, moral philosophy in fact facilitates the questioning and reconsideration of any given practice, situating it within a complex web of legal, political and economic institutions. Moral philosophy indeed can shed new light on human practices by adding needed perspective, explaining the relationship between technology and other worthy goals, situating technology within the human, the social, the political. It has become urgent to start considering technology ethics also from within and not only from outside of ethics….(More)”.

Pathways to Digital Justice


White Paper by The World Economic Forum’s Global Future Council on Data Policy who “… liaised with the Global Future Council on Media, Entertainment and Sport and the Global Future Council on AI for Humanity to make the case for a new policy framework that effectively addresses issues of justice arising in a range of digital contexts. This white paper, produced in collaboration with an advisory committee consisting of experts from around the world, is intended to guide policy efforts towards combating data-driven harms. The hope is that legal and judicial systems can then evolve to embed redress mechanisms that enable the creation of a data ecosystem which protects individuals and is accountable to them….(More)”.

New USAID Digital Ecosystem Framework for International Development


Article by ICTWorks: “USAID’s Digital Strategy explains that a digital ecosystem comprises stakeholders, systems, and an enabling environment that, together, empower people and communities to use digital technology to access services, engage with each other, and pursue economic opportunities. Building on this concept, the Agency created a framework that refines the ecosystem into a practical structure for development practitioners.

USAID’s Digital Ecosystem framework is distinct from the concept of a digital economy – and the distinction is an important one that USAID has iterated and worked to define. It is an environment, system, and culture all at once; it is the starting point for any digital interaction, and understanding it is crucial for development practitioners.

The Digital Ecosystem Framework is organized around three separate, overlapping pillars:

  • Digital Infrastructure and Adoption: the resources that make digital systems possible and how individuals and organizations access and use these resources.
  • Digital Society, Rights, and Governance: how digital technology intersects with government, civil society, and the media.
  • Digital Economy: the role digital technology plays in increasing economic opportunity and efficiency

USAID’s Digital Ecosystem framework encompasses four cross-cutting topics:

  • Inclusion: reducing disparities in access and the “digital divide”
  • Cybersecurity: protecting information against damage, unauthorized use or modification, or exploitation.
  • Emerging Technologies: encompassing artificial intelligence, Internet of Things, blockchain, 5G and other new technologies.
  • Geopolitical Positioning: the influence of authoritarian states that are actively working to shape the global digital space….(More)”.

Psychology and Behavioral Economics: Applications for Public Policy


Book edited by Kai Ruggeri: “…offers an expert introduction to how psychology can be applied to a range of public policy areas. It examines the impact of psychological research for public policymaking in economic, financial, and consumer sectors; in education, healthcare, and the workplace; for energy and the environment; and in communications.

Your energy bills show you how much you use compared to the average household in your area. Your doctor sends you a text message reminder when your appointment is coming up. Your bank gives you three choices for how much to pay off on your credit card each month. Wherever you look, there has been a rapid increase in the importance we place on understanding real human behaviors in everyday decisions, and these behavioral insights are now regularly used to influence everything from how companies recruit employees through to large-scale public policy and government regulation. But what is the actual evidence behind these tactics, and how did psychology become such a major player in economics? Answering these questions and more, this team of authors, working across both academia and government, present this fully revised and updated reworking of Behavioral Insights for Public Policy.

This updatecovers everything from how policy was historically developed, to major research in human behavior and social psychology, to key moments that brought behavioral sciences to the forefront of public policy. Featuring over 100 empirical examples of how behavioral insights are being used to address some of the most critical challenges faced globally, the book covers key topics such as evidence-based policy, a brief history of behavioral and decision sciences, behavioral economics, and policy evaluation, all illustrated throughout with lively case studies.

Including end-of-chapter questions, a glossary, and key concept boxes to aid retention, as well as a new chapter revealing the work of the Canadian government’s behavioral insights unit, this is the perfect textbook for students of psychology, economics, public health, education, and organizational sciences, as well as public policy professionals looking for fresh insight into the underlying theory and practical applications in a range of public policy areas….(More)”.

The Rise of the Pandemic Dashboard


Article by Marie Patino: “…All of these dashboards were launched very early in the pandemic,” said Damir Ivankovic, a PhD student at the University of Amsterdam. “Some of them were developed literally overnight, or over three sleepless nights in certain countries.” With Ph.D. researcher Erica Barbazza, Ivankovic has been leading a set of studies about Covid-19 dashboards with a network of researchers. For an upcoming paper that’s still unpublished, the pair have talked to more than 30 government dashboard teams across Europe and Asia to better understand their dynamics and the political decisions at stake in their creation. 

The dashboard craze can be traced back to Jan. 22, 2020, when graduate student Ensheng Dong, and Lauren Gardner, co-director of Johns Hopkins University’s Center for Systems Science and Engineering, launched the JHU interactive Covid dashboard. It would quickly achieve international fame, and screenshots of it started popping up in newspapers and on TV. The dashboard now racks up billions of daily hits. Soon after, cartography software company ESRI, through which the tool was made, spun off a variety of Covid resources and example dashboards, easy to customize and publish for those with a license. ESRI has provided about 5,000 organizations with a free license since the beginning of Covid.

That’s generated unprecedented traffic: The most-viewed public dashboards made using ESRI are all Covid-related, according to the company. The Johns Hopkins dash is number one. It made its data feed available for free, and now multiple other dashboards built by government and even news outlets, including Bloomberg, rely on Johns Hopkins to update their numbers. 

Public Health England’s dashboard is designed and hand-coded from scratch. But because of the pandemic’s urgency, many government agencies that lacked expertise in data analysis and visualization turned to off-the-shelf business analytics software to build their dashboards. Among those is ESRI, but also Tableau and Microsoft Power BI.

The pros? They provide ready-to-use templates and modules, don’t necessitate programming knowledge, are fast and easy to publish and provide users with a technical lifeline. The cons? They don’t enable design, can look clunky and cluttered, provide little wiggle room in terms of explaining the data and are rarely mobile-friendly. Also, many don’t provide multi-language support or accessibility features, and some don’t enable users to access the raw data that powers the tool. 

Dashboards everywhere
A compilation of government dashboards….(More)”.

Goldman Sachs will soon launch its own version of LinkedIn


Sarah Butcher at EFC: “Sometime soon, it will happen. After two years of construction, Goldman Sachs is expected to launch its own version of LinkedIn – first at Goldman, and then into the world at large. 

Known as Louisa, the platform was conceived by Rohan Doctor, a former head of bank solutions sales at Goldman Sachs in Hong Kong. Doctor submitted his idea for a kind of “internal LinkedIn network” to Accelerate, Goldman Sachs’ internal incubator program in 2019. He’s been building it from New York ever since. It’s thought to be ready soon.

Neither Doctor nor Goldman Sachs would comment for this article, but based on statements Doctor has made on his LinkedIn profile and recent job advertisements for members of his team, Louisa is a “collective intelligence platform” that will enable Goldman staff to connect with each other and to share information in a more meaningful and intuitive way. In doing so, it’s hoped that Goldman will be able to improve knowledge transfer within the firm and that Goldman people will be able to serve clients better as a result.

Goldman has built Louisa around artificial intelligence. When an employee asks Louisa a question, the platform uses natural language processing (NLP) techniques like named entity recognition, language modelling and query parsing to understand the kind of information that’s being sought. Data from user interactions is then used to build user preference feedback loops and user representation models that can target content to particular users and suggest topics. Network analysis is used to identify how users are engaging with each other, to suggest other users or groups of users to engage with, and to look at how Louisa’s features are being used by particular user clusters…(More)”.

Where Is Everyone? The Importance of Population Density Data


Data Artefact Study by Aditi Ramesh, Stefaan Verhulst, Andrew Young and Andrew Zahuranec: “In this paper, we explore new and traditional approaches to measuring population density, and ways in which density information has frequently been used by humanitarian, private-sector and government actors to advance a range of private and public goals. We explain how new innovations are leading to fresh ways of collecting data—and fresh forms of data—and how this may open up new avenues for using density information in a variety of contexts. Section III examines one particular example: Facebook’s High-Resolution Population Density Maps (also referred to as HRSL, or high resolution settlement layer). This recent initiative, created in collaboration with a number of external organizations, shows not only the potential of mapping innovations but also the potential benefits of inter-sectoral partnerships and sharing. We examine three particular use cases of HRSL, and we follow with an assessment and some lessons learned. These lessons are applicable to HRSL in particular, but also more broadly. We conclude with some thoughts on avenues for future research….(More)”.

Gathering Strength, Gathering Storms


The One Hundred Year Study on Artificial Intelligence (AI100) 2021 Study Panel Report: “In the five years since we released the first AI100 report, much has been written about the state of artificial intelligence and its influences on society. Nonetheless, AI100 remains unique in its combination of two key features. First, it is written by a Study Panel of core multi-disciplinary researchers in the field—experts who create artificial intelligence algorithms or study their influence on society as their main professional activity, and who have been doing so for many years. The authors are firmly rooted within the field of AI and provide an “insider’s” perspective. Second, it is a longitudinal study, with reports by such Study Panels planned once every five years, for at least one hundred years.

This report, the second in that planned series of studies, is being released five years after the first report.  Published on September 1, 2016, the first report was covered widely in the popular press and is known to have influenced discussions on governmental advisory boards and workshops in multiple countries. It has also been used in a variety of artificial intelligence curricula.   

In preparation for the second Study Panel, the Standing Committee commissioned two study-workshops held in 2019. These workshops were a response to feedback on the first AI100 report. Through them, the Standing Committee aimed to engage a broader, multidisciplinary community of scholars and stakeholders in its next study. The goal of the workshops was to draw on the expertise of computer scientists and engineers, scholars in the social sciences and humanities (including anthropologists, economists, historians, media scholars, philosophers, psychologists, and sociologists), law and public policy experts, and representatives from business management as well as the private and public sectors…(More)”.

Designing geospatial data portals


Guidance by The Geospatial Commission: “…for developers and designers to increase the discoverability and usefulness of geospatial data through user-focused data portals….Data portals differ by the data they provide and the audiences they serve. ‘Data portals’ described within this guidance are web-based interfaces designed to help users find and access datasets. Optimally, they should be built around metadata records which describe datasets, provide pointers to where they can be located and explain any restrictions or limitations in their use.

Although more and more geospatial data is being made available online, there are users who are confused about where to go, who to trust and which datasets are most relevant to answering their questions.

In 2018 user researchers and designers across the Geo6 came together to explore the needs and frustrations experienced by users of data portals containing geospatial data.

Throughout 2019 and 2020 the Geo6 have worked on solutions to address pain points identified by the user research conducted for the Data Discoverability project. This guidance provides high-level general recommendations, however, exact requirements for any given portal will vary depending on the needs of your target audience and according to the data volumes and subject matters covered. This resource is not a replacement for portal-specific user research and design work…(More)”.

Carbonwashing: A New Type of Carbon Data-Related ESG Greenwashing


Paper by Soh Young In and Kim Schumacher: “Despite the increased attention and capital incentives around corporate sustainability, the development of sustainability reporting standards and monitoring systems has been progressing at a slow pace. As a result, companies have misaligned incentives to deliberately or selectively communicate information not matched with actual environmental impacts or make largely unsubstantiated promises around future ambitions. These incidents are broadly called “greenwashing,” but there is no clear consensus on its definition and taxonomy. We pay particular attention to the threat of greenwashing concerning carbon emission reductions by coining a new term, “carbonwashing.” Since carbon mitigation is the universal goal, the corporate carbon performance data supply chain is relatively more advanced than that of the entire sustainability data landscape. Nonetheless, the threat of carbonwashing persists, even far more severe than general greenwashing due to the financial values attached to corporate carbon performance. This paper contextualizes sustainable finance-related carbonwashing via an outline of the communication as well as the measurement, reporting, and verification (MRV) of carbon emission mitigation performance. Moreover, it proposes several actionable policy recommendations on how industry stakeholders and government regulators can reduce carbonwashing risks…(More)”.