UK government publishes pioneering standard for algorithmic transparency

Curated on Posted on by Stefaan Verhulst

UK Government Press Release: “The UK government has today launched one of the world’s first national standards for algorithmic transparency.

This move delivers on commitments made in the National AI Strategy and National Data Strategy, and strengthens the UK’s position as a global leader in trustworthy AI.

In its landmark review into bias in algorithmic decision-making, the Centre for Data Ethics and Innovation (CDEI) recommended that the UK government should place a mandatory transparency obligation on public sector organisations using algorithms to support significant decisions affecting individuals….

The Cabinet Office’s Central Digital and Data Office (CDDO) has worked closely with the CDEI to design the standard. It also consulted experts from across civil society and academia, as well as the public. The standard is organised into two tiers. The first includes a short description of the algorithmic tool, including how and why it is being used, while the second includes more detailed information about how the tool works, the dataset/s that have been used to train the model and the level of human oversight. The standard will help teams be meaningfully transparent about the way in which algorithmic tools are being used to support decisions, especially in cases where they might have a legal or economic impact on individuals.

The standard will be piloted by several government departments and public sector bodies in the coming months. Following the piloting phase, CDDO will review the standard based on feedback gathered and seek formal endorsement from the Data Standards Authority in 2022…(More)”.

Data Powered Positive Deviance Handbook

Curated on Posted on by Stefaan Verhulst

Handbook by GIZ and UNDP: “Positive Deviance (PD) is based on the observation that in every community or organization, there are a few individuals who achieve significantly better outcomes than their peers, despite having similar challenges and resources. These individuals are referred to as positive deviants, and adopting their solutions is what is referred to as the PD approach.
The method described in this Handbook follows the same logic as the PD approach but uses pre-existing, non-traditional data sources instead of — or in conjunction with — traditional data sources. Non-traditional data in this context broadly refers to data that is digitally captured (e.g. mobile phone records and financial data), mediated (e.g. social media and online data), or observed (e.g. satellite imagery). The integration of such data to complement traditional data sources generally used in PD is what we refer to as Data Powered Positive Deviance (DPPD)…(More)”.

Creating and governing social value from data

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Paper by Diane Coyle and Stephanie Diepeveen: “Data is increasingly recognised as an important economic resource for innovation and growth, but its innate characteristics mean market-based valuations inadequately account for the impact of its use on social welfare. This paper extends the literature on the value of data by providing a framework that takes into account its non-rival nature and integrates its inherent positive and negative externalities. Positive externalities consist of the scope for combining different data sets or enabling innovative uses of existing data, while negative externalities include potential privacy loss. We propose a framework integrating these and explore the policy trade-offs shaping net social welfare through a case study of geospatial data and the transport sector in the UK, where insufficient recognition of the trade-offs has contributed to suboptimal policy outcomes. We conclude by proposing methods for empirical approaches to social data valuation, essential evidence for decisions regarding the policy trade-offs . This article therefore lays important groundwork for novel approaches to the measurement of the net social welfare contribution of data, and hence illuminating opportunities for greater and more equitable creation of value from data in our societies….(More)”

Surveillance, Companionship, and Entertainment: The Ancient History of Intelligent Machines

Curated on Posted on by Stefaan Verhulst

Essay by E.R. Truitt: “Robots have histories that extend far back into the past. Artificial servants, autonomous killing machines, surveillance systems, and sex robots all find expression from the human imagination in works and contexts beyond Ovid (43 BCE to 17 CE) and the story of Pygmalion in cultures across Eurasia and North Africa. This long history of our human-machine relationships also reminds us that our aspirations, fears, and fantasies about emergent technologies are not new, even as the circumstances in which they appear differ widely. Situating these objects, and the desires that create them, within deeper and broader contexts of time and space reveals continuities and divergences that, in turn, provide opportunities to critique and question contemporary ideas and desires about robots and artificial intelligence (AI).

As early as 3,000 years ago we encounter interest in intelligent machines and AI that perform different servile functions. In the works of Homer (c. eighth century BCE) we find Hephaestus, the Greek god of smithing and craft, using automatic bellows to execute simple, repetitive labor. Golden handmaidens, endowed with characteristics of movement, perception, judgment, and speech, assist him in his work. In his “Odyssey,” Homer recounts how the ships of the Phaeacians perfectly obey their human captains, detecting and avoiding obstacles or threats, and moving “at the speed of thought.” Several centuries later, around 400 BCE, we meet Talos, the giant bronze sentry, created by Hephaestus, that patrolled the shores of Crete. These examples from the ancient world all have in common their subservient role; they exist to serve the desires of other, more powerful beings — either gods or humans — and even if they have sentience, they lack autonomy. Thousands of years before Karel Čapek introduced the term “robot” to refer to artificial slaves, we find them in Homer….(More)”.

Perspectives on Platform Regulation

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Open Access Book edited by Judit Bayer, Bernd Holznage, Päivi Korpisaari and Lorna Woods: “Concepts and Models of Social Media GovernanceOnline social media platforms set the agenda and structure for public and private communication in our age. Their influence and power is beyond any traditional media empire. Their legal regulation is a pressing challenge, but currently, they are mainly governed by economic pressures. There are now diverse legislative attempts to regulate platforms in various parts of the world. The European Union and most of its Member States have historically relied on soft law, but are now looking to introduce regulation.

Leading researchers of the field analyse the hard questions and the responses given by various states. The book offers legislative solutions from various parts of the world, compares regulatory concepts and assesses the use of algorithms….(More)”.

The Birth of Digital Human Rights

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Book by Rebekah Dowd on “Digitized Data Governance as a Human Rights Issue in the EU”: “…This book considers contested responsibilities between the public and private sectors over the use of online data, detailing exactly how digital human rights evolved in specific European states and gradually became a part of the European Union framework of legal protections. The author uniquely examines why and how European lawmakers linked digital data protection to fundamental human rights, something heretofore not explained in other works on general data governance and data privacy. In particular, this work examines the utilization of national and European Union institutional arrangements as a location for activism by legal and academic consultants and by first-mover states who legislated digital human rights beginning in the 1970s. By tracing the way that EU Member States and non-state actors utilized the structure of EU bodies to create the new norm of digital human rights, readers will learn about the process of expanding the scope of human rights protections within multiple dimensions of European political space. The project will be informative to scholar, student, and layperson, as it examines a new and evolving area of technology governance – the human rights of digital data use by the public and private sectors….(More)”.

Decolonizing Innovation

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Essay by Tony Roberts and Andrea Jimenez Cisneros: “In order to decolonize global innovation thinking and practice, we look instead to indigenous worldviews such as Ubuntu in Southern Africa, Swaraj in South Asia, and Buen Vivir in South America. Together they demonstrate that a radically different kind of innovation is possible.

The fate of Kenya’s Silicon Savannah should serve as a cautionary tale about exporting Western models to the Global South.

The fate of Kenya’s Silicon Savannah should serve as a cautionary tale about exporting Western models to the Global South. The idea of an African Silicon Valley emerged around 2011 amidst the digital technology ecosystem developing in Nairobi. The success of Nairobi’s first innovation hub inspired many imitators and drove ambitious plans by the government to build a new innovation district in the city. The term “Silicon Savannah” captured these aspirations and featured in a series of blog posts, white papers, and consultancy reports. Advocates argued that Nairobi could leapfrog other innovation centers due to lower entry barriers and cost advantages.

These promises caught the attention of many tech entrepreneurs and policymakers—including President Barack Obama, who cohosted the 2015 Global Entrepreneurship Summit in Kenya. As part of its Silicon Savannah vision, the Kenyan government proposed to build a “smart city” called Konza Technopolis in the south of Nairobi. This government-led initiative—designed with McKinsey consultants—was supposed to help turn Kenya into a “middle-income country providing a high quality life to all its citizens by the year 2030.” The city was proposed to attract investors, create jobs at a mass scale, and use technology to manage the city effectively and efficiently. Its website identified Konza as the place where “Africa’s silicon savannah begins.” Years later, the dream remains unfulfilled. As Kenyan writer Carey Baraka’s has recently detailed, the plan has only reinforced existing inequalities as it caters mainly to international multinationals and the country’s wealthy elite.

One of the most important lessons to be derived from studying such efforts to import foreign technologies and innovation models is that they inevitably come with ideological baggage. Silicon Valley is not just a theoretical model for economic growth: it represents a whole way of life, carrying with it all kinds of implications for how people think about themselves, each other, and their place in the world. Venture capital pitching sessions prize what is most monetizable, what stands to deliver the greatest return on investment, and what offers the earliest exit opportunities. Breznitz is right to criticize this way of thinking, but similar worries arise about his own examples, which say little about environmental sustainability or maintaining the integrity of local communities. Neoliberal modes of private capital accumulation are not value neutral, and we must be sensitive to the way innovation models are situated in uneven structures of power, discourse, and resource distribution…(More)”.

Do we know what jobs are in high demand?

Curated on Posted on by Stefaan Verhulst

Emma Rindlisbacher at Work Shift: “…Measuring which fields are in demand is harder than it sounds. Many of the available data sources, experts say, have significant flaws. And that causes problems for education providers who are trying to understand market demand and map their programs to it.

“If you are in higher education and trying to understand where the labor market is going, use BLS data as a general guide but do not rely too heavily on it when it comes to building programs and making investments,” said Jason Tyszko, the Vice President of the Center for Education and Workforce at the US Chamber of Commerce Foundation.

What’s In-Demand?

Why it matters: Colleges are turning to labor market data as they face increasing pressure from lawmakers and the public to demonstrate value and financial ROI. A number of states also have launched specialized grant and “free college” programs for residents pursuing education in high-demand fields. And many require state agencies to determine which fields are in high demand as part of workforce planning processes.

Virginia is one of those states. To comply with state law, the Board of Workforce Development has to regularly update a list of high demand occupations. Deciding how to do so can be challenging.

According to a presentation given at a September 2021 meeting, the board chose to determine which occupations are in high demand by using BLS data. The reason: the BLS data is publicly available.

“Although in some instances, proprietary data sources have different or additional nuances, in service of guiding principle #1 (transparency, replicability), our team has relied exclusively on publicly available data for this exercise,” the presentation said. (A representative from the board declined to comment, citing the still ongoing nature of constructing the high demand occupations list.)

The limits of the gold standard

For institutions looking to study job market trends, there are typically two main data sources available. The first, from BLS, are official government statistics primarily designed to track economic indicators such as the unemployment rate. The second, from proprietary companies such as Emsi Burning Glass, typically relies on postings to job board websites like LinkedIn. 

The details: The two sources have different strengths and weaknesses. The Emsi Burning Glass data can be considered “real time” data, because it identifies new job postings as they are released online. The BLS data, on the other hand, is updated less frequently but is comprehensive.

The BLS data is designed to compare economic trends across decades, and to map to state systems so that statistics like unemployment rates can be compared across states. For those reasons, the agency is reluctant to change the definitions underlying the data. That consistency, however, can make it difficult for education providers to use the data to determine which fields are in high demand.

BLS data is broken down according to the Standard Occupation Classification system, or SOC, a taxonomy used to classify different occupations. That taxonomy is designed to be public facing—the BLS website, for example, features a guide for job seekers that purports to tell them which occupation codes have the highest wages or the greatest potential for growth.

But the taxonomy was last updated in 2010, according to a BLS spokesperson…(More)”.

Academic Incentives and Research Impact: Developing Reward and Recognition Systems to Better People’s Lives

Curated on Posted on by Stefaan Verhulst

Report by Jonathan Grant: “…offers new strategies to increase the societal impact that health research can have on the community and critiques the existing academic reward structure that determines the career trajectories of so many academics—including, tenure, peer-review publication, citations, and grant funding, among others. The new assessment illustrates how these incentives can lead researchers to produce studies as an end-goal, rather than pursuing impact by applying the work in real world settings.

Dr. Grant also outlines new system-, institution-, and person-level changes to academic incentives that, if implemented, could make societal impact an integral part of the research process. Among the changes offered by Dr. Grant are tying a percentage of grant funding to the impact the research has on the community, breaking from the tenure model to incentivize ongoing development and quality research, and encouraging academics themselves to prioritize social impact when submitting or reviewing research and grant proposals…(More)”.

Public Crowdsourcing: Analyzing the Role of Government Feedback on Civic Digital Platforms

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Paper by Lisa Schmidthuber, Dennis Hilgers, and Krithika Randhawa: “Government organizations increasingly use crowdsourcing platforms to interact with citizens and integrate their requests in designing and delivering public services. Government usually provides feedback to individual users on whether the request can be considered. Drawing on attribution theory, this study asks how the causal attributions of the government response affect continued participation in crowdsourcing platforms. To test our hypotheses, we use a 7-year dataset of both online requests from citizens to government and government responses to citizen requests. We focus on citizen requests that are denied by government, and find that stable and uncontrollable attributions of the government response have a negative effect on future participation behavior. Also, a local government’s locus of causality negatively affects continued participation. This study contributes to research on the role of responsiveness in digital interaction between citizens and government and highlights the importance of rationale transparency to sustain citizen participation…(More)”.