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1. Beyond Access: Refugees’ Rights and Justice at Work

Author:
Emily E. Arnold-Fernández
Publication Date:
05-2024
Content Type:
Special Report
Institution:
Center on International Cooperation (CIC)
Abstract:
Work plays a central role in the lives of refugees. When work is just, it offers economic power, personal agency, and often a sense of meaning, purpose, or even identity. The Sustainable Development Goals (SDGs) recognize the importance of justice in relation to work. Goals 8 (decent work and inclusive economic growth) and 10 (reduced inequality) are only possible when work is just. Too often today, however, refugees have access to work only in conditions of grave injustice. Wage theft, sexual assault, and other workplace violations are common. Restrictions on refugees’ access to authorized work push them into informal, unregulated employment where justice is inaccessible. These problems show us that, to achieve SDGs 8 and 10 for refugees, we must also achieve SDG16.3: Promote the rule of law at the national and international levels and ensure equal access to justice for all. This paper aims to lay a common foundation for solutions to the justice problems refugees face in the labor market and also supports the thesis that ensuring access to justice in the workplace for refugees can facilitate mutual gains, uphold human rights, and support the achievement of the Sustainable Development Agenda.
Topic:
Refugees, Displacement, Justice, Humanitarian Crisis, and Work
Political Geography:
Global Focus

2. Generative Artificial Intelligence and Its Implications for Labor Markets in Developing Countries: A Review Essay

Author:
Guillermo Cruces, Verónica Amarante, and Estefanía Lotitto
Publication Date:
12-2024
Content Type:
Working Paper
Institution:
Center for Distributive, Labor and Social Studies (CEDLAS)
Abstract:
The unprecedented developments in artificial intelligence technology and its recent widespread availability hold transformative potential to reshape global economic dynamics and labor markets, though opinions on its effects vary greatly. Transformative or not, the irruption of AI has sparked ample public discussion as well as the rapid development of theoretical and empirical approaches to understand it. This review essay discusses recent perspectives, theories, and empirical evidence on the matter, and adds a perspective of the implications of this technology and of the policy discussion it has sparked, from the perspective of developing countries’ economies. The latter is motivated by the relative scarcity of such perspectives in the current public debate, which seems to have minimized the potential effects on the interaction of labor markets between developing and developed countries, and on the potentially different within-country effects at different levels of development.
Topic:
Economic Development, Artificial Intelligence, Literature Review, Labor Market, and Work
Political Geography:
Global Focus

3. Artificial intelligence adoption in the public sector: a case study

Author:
Laura Nurski
Publication Date:
03-2023
Content Type:
Working Paper
Institution:
Bruegel
Abstract:
This case study illustrates the drivers of and barriers to artificial intelligence adoption by organisations, and acceptance of AI by workers in the public sector. Several factors were crucial in the successful adoption of a human-centred approach to AI, including a fast discovery phase that involved workers (or end users) in the development early on, and aligning human resources, information technology and business processes. Subsidy support mechanisms were also specifically targeted and acquired to support the adoption. However, making AI support available to workers proved insufficient to ensure its widespread usage throughout the organisation. The slow adaptation of existing work processes and legacy IT systems was a barrier to the optimal usage of the technology. Moreover, the usefulness of the technology depended on both the task routineness and worker experience, thereby necessitating a rethinking of the work division between technology and workers, and between junior and senior workers. Successful human-centred roll-out of AI in Europe will therefore depend on the availability of, or investments in, complementary intangible organisational capital. Very little is currently known about these investments.
Topic:
Digital Economy, Economic Growth, Public Sector, Innovation, Artificial Intelligence, Inclusion, and Work
Political Geography:
Global Focus

4. Leading with Resilience: COVID-19 Learnings

Author:
A. Sarah Ilchman and Mirka Martel
Publication Date:
04-2023
Content Type:
Special Report
Institution:
Institute of International Education (IIE)
Abstract:
Leading With Resilience: COVID-19 Learnings from the Institute of International Education is based on interviews with IIE team members about their experiences navigating the COVID-19 pandemic. This unique publication highlights lessons learned and best practices from three years of managing IIE programs through the COVID-19 pandemic, and brings a personal lens to IIE’s work and leadership in the international education field. The paper focuses on three primary areas: Initial Responses to the COVID-19 Pandemic, Program Learnings, and Organizational Perspectives. It highlights successes and opportunities for improvement across the Institute over the last three years, and brings to the forefront the creativity and flexibility of IIE’s teams in their approach to keeping programs running and participants safe as they navigated the constantly-changing landscape of the COVID-19 pandemic.
Topic:
Education, Leadership, Crisis Management, COVID-19, Management, and Work
Political Geography:
Global Focus

5. A gender perspective on artificial intelligence and jobs: The vicious cycle of digital inequality

Author:
Estrella Gomez-Herrera and Sabine Köszegi
Publication Date:
08-2022
Content Type:
Working Paper
Institution:
Bruegel
Abstract:
The worldwide artificial intelligence market is expected to increase enormously in the next few years. Because of AI’s immense potential, virtually all industries will be affected by the implementation of AI systems, resulting in the digitalisation and automation of work processes. This will cause disruptive shifts in labour markets, in terms of the number and profiles of jobs in industries as well as worker skill requirements. We take a gender perspective and analyse how gender stereotypes and gendered work segregation on the one hand, and digitalisation and automation (as a consequence of AI implementation) on the other hand, are entangled and result in a vicious cycle of digital gender inequality. We provide insights into the gender-specific impact of AI technologies, which is relevant for the mitigation of the potential risk of the creation of social inequality and exclusion. We show that existing empirical evidence already indicates that AI will not increase gender equality but will somewhat further exacerbate the gender inequality in labour markets, ranging from further horizontal and vertical occupational gender segregation to an increase in the gender pay gap. We summarise policy guidance and measures to decrease gender inequality in the future.
Topic:
Inequality, Digital Economy, Artificial Intelligence, Gender, and Work
Political Geography:
Global Focus

6. The impact of artificial intelligence on the nature and quality of jobs

Author:
Laura Nurski and Mia Hoffmann
Publication Date:
07-2022
Content Type:
Working Paper
Institution:
Bruegel
Abstract:
Artificial intelligence (AI), like any workplace technology, changes the division of labour in an organisation and the resulting design of jobs. When used as an automation technology, AI changes the bundle of tasks that make up an occupation. In this case, implications for job quality depend on the (re)composition of those tasks. When AI automates management tasks, known as algorithmic management, the consequences extend into workers’ control over their work, with impacts on their autonomy, skill use and workload. We identify four use cases of algorithmic management that impact the design and quality of jobs: algorithmic work-method instructions; algorithmic scheduling of shifts and tasks; algorithmic surveillance, evaluation and discipline; and algorithmic coordination across tasks. Reviewing the existing empirical evidence on automation and algorithmic management shows significant impact on job quality across a wide range of jobs and employment settings. While each AI use case has its own particular effects on job demands and resources, the effects tend to be more negative for the more prescriptive (as opposed to supportive) use cases. These changes in job design demonstrably affect the social and physical environment of work and put pressure on contractual employment conditions as well. As technology development is a product of power in organisations, it replicates existing power dynamics in society. Consequently, disadvantaged groups suffer more of the negative consequences of AI, risking further job-quality polarisation across socioeconomic groups. Meaningful worker participation in the adoption of workplace AI is critical to mitigate the potentially negative effects of AI adoption on workers, and can help achieve fair and transparent AI systems with human oversight. Policymakers should strengthen the role of social partners in the adoption of AI technology to protect workers’ bargaining power.
Topic:
Science and Technology, Economy, Artificial Intelligence, Inclusion, and Work
Political Geography:
Global Focus