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1. La Intersección entre Inteligencia Artificial y Armas Nucleares: Riesgos, Beneficios y Recomendaciones

Author:
Manuel Herrera
Publication Date:
01-2025
Content Type:
Journal Article
Journal:
Revista UNISCI/UNISCI Journal
Institution:
Unidad de investigación sobre seguridad y cooperación (UNISCI)
Abstract:
Las innovaciones tecnológicas han sido clave en la evolución de la defensa militar, permitiendo a los Estados obtener ventajas estratégicas, como ocurrió en 1945 con la bomba atómica. Actualmente, la inteligencia artificial (IA) impulsa una revolución similar. Aunque su uso principal es civil y empresarial, varios países la están integrando en sus capacidades militares para ganar superioridad estratégica. La IA ya se emplea con éxito en drones y análisis de macrodatos, pero también comienza a aplicarse en sistemas de armamento nuclear, lo que podría tener consecuencias imprevisibles. Este artículo examina el impacto de la IA en las armas nucleares, centrándose en los sistemas de mando y control, y sus implicaciones para el equilibrio estratégico global. Se define la IA, se analiza su uso histórico en la Guerra Fría por Estados Unidos y la Unión Soviética, y se evalúan sus aplicaciones actuales. Finalmente, se proponen recomendaciones para mitigar riesgos asociados a su integración en el ámbito nuclear.
Topic:
Nuclear Weapons, Artificial Intelligence, Automation, and Machine Learning
Political Geography:
Global Focus

2. Automation, Global Value Chains and Functional Specialization

Author:
Lionel Fontagné, Ariell Reshef, Gianluca Santoni, and Giulio Vannelli
Publication Date:
03-2024
Content Type:
Working Paper
Institution:
Centre d'Etudes Prospectives et d'Informations Internationales (CEPII)
Abstract:
We study how technology adoption and changes in global value chain (GVC) integration jointly affect labor shares and business function specialization in a sample of 14 manufacturing industries in 14 European countries in 1999– 2011. Our main contribution is to highlight the indirect effect of robotization on relative demand for labor via GVC integration. To do this, we develop a methodology to separately account for robots in the total capital stock. Increases in upstream, forward GVC participation directly reduce labor shares, mostly through reductions in fabrication, but also via management, marketing and R&D business functions. We do not find any direct effects of robot adoption; robotization affects labor only indirectly, by increasing upstream, forward GVC integration. In this sense robotization is “upstream-biased”. We also study novel channels through which rapid robotization in China shaped robotization in Europe and, therefore, GVC participation. This highlights an understudied way by which the global integration of China has affected relative demand for labor in its trading partners.
Topic:
Science and Technology, Labor Issues, Automation, and Global Value Chains
Political Geography:
Global Focus

3. The hidden inequalities of digitalisation in the post-pandemic context

Author:
Cristiano Cadagnone and Maria Savona
Publication Date:
01-2023
Content Type:
Working Paper
Institution:
Bruegel
Abstract:
Digitalisation has a ‘hidden’ impact on employment, particularly on the invisible conditions of some jobs, as perceived by workers, that are relatively less explored in the literature and that could represent a substantial social cost, particularly in the aftermath of the financial crisis and the COVID-19 pandemic. We start by summarising a few main challenges of digitalisation, with a focus on the additional challenges brought about by the pandemic, the rise of platforms and alternative work arrangements, and the current attempts to regulate these. We then discuss the hidden aspects of inequality linked to the unmeasured side effects of digitalisation. Mental health in particular should be taken into account, particularly in the post-pandemic context, which has led to a significant amount of working from home. Also, the reduction of tasks previously done in the workplace in favour of remote working might limit social interactions, creativity and innovation potential. We conclude by suggesting areas for policy interventions.
Topic:
Labor Issues, Economy, Automation, and COVID-19
Political Geography:
Europe and Global Focus

4. A Task-Based Theory of Occupations with Multidimensional Heterogeneity

Author:
Sergio Ocampo
Publication Date:
01-2022
Content Type:
Working Paper
Institution:
Centre for Human Capital and Productivity (CHCP), Western University
Abstract:
I develop an assignment model of occupations with multidimensional heterogeneity in production tasks and worker skills. Tasks are distributed continuously in the skill space, whereas workers have a discrete distribution with a finite number of types. Occupations arise endogenously as bundles of tasks optimally assigned to a type of worker. The model allows us to study how occupations respond to changes in the economic environment, making it useful for analyzing the implications of automation, skill-biased technical change, offshoring, and worker training. Using the model, I characterize how wages, the marginal product of workers, the substitutability between worker types, and the labor share depend on the assignment of tasks to workers. I introduce automation as the choice of the optimal size and location of a mass of identical robots in the task space. Automation displaces workers by replacing them in the performance of tasks, generating a cascading effect on other workers as the boundaries of occupations are redrawn.
Topic:
Occupation, Automation, Skills, and Tasks
Political Geography:
Global Focus

5. NEW TECH, NEW DEAL: Mining Policy Options in the Face of New Technology

Author:
Isabelle Ramdoo, Aaron Cosbey, Jeff Geipel, and Perrine Toledano
Publication Date:
10-2021
Content Type:
Special Report
Institution:
Columbia Center on Sustainable Investment
Abstract:
Throughout the history of mining, technological innovation has played a vital role across all cycles of mining projects. The new wave of technological adoption is a combination of evolutionary and revolutionary technologies, with an increasing focus on the latter. An acceleration in investments in disruptive technologies in recent years has seen the large-scale mining sector finally catching up with a dynamic that has already advanced in many other sectors. The reasons for this shift include more difficult geology, declining ore deposits, the need to reverse a secular decline in productivity, the need to improve safety for mine workers, a need to manage environmental impacts, and—more recently—a reaction to pressures from the COVID-19 crisis.
Topic:
Science and Technology, Mining, Automation, and Machine Learning
Political Geography:
Global Focus

6. The Machines Are Not So Easy to Ride: Another Take on Automation

Author:
Bright Simons
Publication Date:
03-2019
Content Type:
Working Paper
Institution:
Center for Global Development (CGD)
Abstract:
In 1981, a former sheep farmer took a one-week crash course in computing, had an epiphany, and teamed up with a car tyres millionaire to form DJ AI. DJ AI announced a new artificial intelligence platform for sale at $600 that could build computer programs for customers. They named their game-changer “The Last One.” All users had to do was follow a set of screen menus, plug, and play, and bingo, they could do away with all those pesky system administrators and programmers. $6 million was spent marketing this powerful piece of magic on both sides of the Atlantic, sometimes to comic effect. Such dreams of software building software, literally cutting out the middleman, have recurred regularly since the 1960s in peaks and troughs, but we are still waiting. From the late 90s onwards, however, new data-driven approaches to automation, particularly so-called deep learning, and the involvement of many of the world’s smartest and most loaded companies, have begun to convince many level-headed analysts that this time it is going to be different. The technologies, we are told, can learn, and so it is about time we paid critical attention to the pace at which they are already and could even further turn upside down the world of work as we know it. Some of the most elegant attempts to evaluate and categorise the impact of these new capabilities on employment and income inequality can be found in papers by David Autor and his co-authors on labour market polarisation and the effect of computerisation on the market demand for skills. More than a decade after these papers were written, their core ideas and the schemas they proposed continue to inspire the framing of the issues in influential circles, making them the most cited in their writers’ corpus. The Economist is right to describe Autor’s seminal work as enormously influential. The elegance and rigorous use of data in these two persuasive treatises are not, however, enough to prevent one major convenient generalisation from weakening their key arguments. The generalisation in question emanates from the conflation of several different patterns of computerisation with “automation,” the replacement of human actors in the chain of work, which is then used as a proxy for technology diffusion and infusion into various modes of work, following in a tradition that also encompasses Goldin and Katz’s equally elegant formulation of the automation question as one of a contention between returns to skills versus returns to algorithms. Having taken “automation” as the predominant form in which modern technology manifests itself in the workplace, Autor and his collaborators then proceed to construct a spectrum of possibilities for technology’s infusion: complement, substitute, or bypass (CSB). In the CSB paradigm, modern technology in the workplace tends to complement super-skilled, high-earning, workers, in complex, adaptive, operations, thereby boosting their productivity and bargaining power; substitute for the contribution of most medium-skilled workers in many routine tasks, thus depressing their wage potential; and bypass low-skilled workers, such as drivers, waiters, and janitors, thus rendering their fate somewhat indeterminate even if their numbers grow. It is not difficult to see why Autor et al.’s extensive use of crosswalking across census-based industrial classification schemes and the Dictionary of Occupational Titles should encourage this neat stratification. Once something is coded, it acquires a hardness that confers rigour and opacity.
Topic:
Science and Technology, Automation, and Emerging Technology
Political Geography:
Global Focus

7. Automation and a Changing Economy: Policies for Shared Prosperity

Author:
Alastair Fitzpayne, Conor Mckay, and Ethan Pollack
Publication Date:
04-2019
Content Type:
Working Paper
Institution:
Aspen Institute
Abstract:
Part I of this report, Automation and a Changing Economy: The Case for Action, explores how automation has impacted and will continue to impact the economic security and opportunity of the American worker. But technology is not destiny. The impact of innovation on the American worker is mediated by policies and institutions. We can choose to create an economy that: promotes technological progress; prepares workers to take advantage of the opportunities technology presents; supports those who are negatively impacted by automation return to stable work; and shares technology’s gains more broadly. These goals are achievable with the right support, but the policy structures currently in place are inadequate. This part of the report, Automation and a Changing Economy: Policies for Shared Prosperity, outlines a policy agenda for addressing these challenges and opportunities. Doing so requires an all-of-the-above approach, from targeted, specialized interventions to those with systems-level impact; from place-based policies to national-level reforms to safety net programs. The paper identifies four objectives that guide its recommendations
Topic:
Science and Technology, Labor Issues, Automation, and Job Creation
Political Geography:
Global Focus

8. Automation and a Changing Economy: The Case for Action

Author:
Alastair Fitzpayne, Conor Mckay, and Ethan Pollack
Publication Date:
04-2019
Content Type:
Working Paper
Institution:
Aspen Institute
Abstract:
Technology fuels our economy, captures our collective imaginations, and promises extraordinary possibilities. It permeates almost all aspects of our lives. From electrification and the internal combustion engine, to search engines and smartphones, technology has changed how we travel, access information, buy products, and communicate with each other. As technology changes our personal lives, it also changes work. For generations, economic change has replaced products, jobs, and industries with innovative new models. The American economy has transitioned from agrarian to industrial, service to digital, and with each evolution, America has prospered even as it grappled with the profound challenges of change. The American ideal embraces the promise that economic progress can create an inclusive society in which prosperity is broadly shared. Work is more than simply a way to earn a living. It gives structure, dignity, and purpose to our lives. For this reason, workers should not be treated as a cost of doing business but recognized for their productivity and creativity. For too many Americans, the promise of work is not being kept. New technologies are creating great wealth for some, but we are simultaneously experiencing historic income and wealth inequality. Without robust policies and strong institutions, new innovations risk exacerbating the economic insecurity and political and civil divides that we are experiencing today. Emerging technologies, including artificial intelligence, machine learning, and advanced robotics, have the potential to automate many tasks currently performed by workers. Historically, automation has been an important ingredient driving economic growth and progress. Automation has enabled us to feed a growing population while allowing workers to transition from subsistence farming to new forms of work. Automation helped move us from a craft system to mass production, from blue-collar to white-collar to “new-collar” work—with better work, higher wages, more jobs, and better living standards. Similar to past innovations, these new technologies offer the potential to help us meet human needs while supporting new jobs and industries never before imagined. However, automation can also have negative effects on individuals and communities. Those who lose their jobs suffer economic, social, and psychological hardship. Communities that relied on single industries that have been automated have struggled to recover. New jobs are being created, but their geographic distribution and skill requirements often make them inaccessible to the individuals and the communities where those whose jobs were lost. This dislocation has played a role in exacerbating America’s economic, political, geographic, and social divides. The answer to the dislocations that can result from automation should not be to stifle innovation. Policies and reforms should encourage both the development of new technologies and the promise of work. Workers need access to the opportunities technology creates. Policymakers and employers can help by providing access to skills training, ensuring the availability of good jobs, and improving the systems that are in place to help those who will transition from declining to growing occupations. While there are many unanswered questions about what the future holds, this report attempts to explain how automation impacts the labor market and how to better prepare American workers to benefit from the changes to come.
Topic:
Economics, Science and Technology, Labor Issues, Automation, and Job Creation
Political Geography:
Global Focus

9. The Future of Work 2.0: Navigating the Transition to New Possibilities

Author:
Aspen Institute
Publication Date:
05-2019
Content Type:
Working Paper
Institution:
Aspen Institute
Abstract:
Today’s leading businesses are dealing with a changing work environment that goes beyond artificial intelligence and robots. Instead, it encompasses the work machines and humans will do together. This report of the 2018 Roundtable, written by David Gibson, explores the Future of Work 2.0—focusing on how all stakeholders can realize the opportunities and possibilities of automation in the work landscape. It features a robust discussion on education, business structures, models of employment and leadership philosophies.
Topic:
Science and Technology, Communications, Employment, and Automation
Political Geography:
Global Focus