Artificial Intelligence, Jobs and the Future of Work: Racing with the Machines

Duka, Alban; Bruun, Edvard P.G.

doi:10.1515/bis-2018-0018

Cited by 68 publications

(49 citation statements)

References 6 publications

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“…This last interaction requires social-emotional relationships, which is harder to be replaced by AI. Yet, AI has already substituted human employment in areas that were previously thought to be uncomputerizable (Bruun and Duka, 2018).…”

Section: Conceptual Backgroundmentioning

confidence: 99%

Influence of artificial intelligence on public employment and its impact on politics: A systematic literature review

Reis

Santo

Melão

2021

BJO&PM

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Goal: Public administration is constantly changing in response to new challenges, including the implementation of new technologies such as robotics and artificial intelligence (AI). This new dynamic has caught the attention of political leaders who are finding ways to restrain or regulate AI in public services, but also of scholars who are raising legitimate concerns about its impacts on public employment. In light of the above, the aim of this research is to analyze the influence of AI on public employment and the ways politics are reacting.Design / Methodology / Approach: We have performed a systematic literature review to disclose the state-of-the-art and to find new avenues for future research. Results:The results indicate that public services require four kinds of intelligence -mechanical, analytical, intuitive, and empathetic -albeit, with much less expression than in private services. Limitations of the investigation:This systematic review provides a snapshot of the influence of AI on public employment. Thus, our research does not cover the whole body of knowledge, but it presents a holistic understanding of the phenomenon. Practical implications:As private companies are typically more advanced in the implementation of AI technologies, the for-profit sector may provide significant contributions in the way states can leverage public services through the deployment of AI technologies.Originality / Value: This article highlights the need for states to create the necessary conditions to legislate and regulate key technological advances, which, in our opinion, has been done, but at a very slow pace.

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Section: Conceptual Backgroundmentioning

confidence: 99%

Influence of artificial intelligence on public employment and its impact on politics: A systematic literature review

Reis

Santo

Melão

2021

BJO&PM

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“…Call this the "UBI-after-work argument." It frequently appears in newspaper headlines and tech blogs, but also in academic writings (for example, Bruun and Duka, 2018;Ford, 2015;Mann, 2018;Srnicek and Williams, 2016). Recently, the fear of automation has prompted policy documents (for example, European Parliament, 2017; Executive Office of the President, 2016).…”

Section: P2mentioning

confidence: 99%

Automation, basic income, and merit

Nieswandt¹

2021

The Politics and Ethics of Contemporary Work

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“…In addition, a "robot tax" (Delaney 2017), could be considered. Bruun and Duka (2018) suggest that the resulting tax revenue could be used to mitigate future technological unemployment through the introduction of a basic income scheme, accompanied by reforms in school curricula and retraining programs.…”

Section: Policy Conclusionmentioning

confidence: 99%

AI/Robotics and the Poor

Braun¹,

Baumüller²

2021

Robotics, AI, and Humanity

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Artificial intelligence and robotics (AI/R) have the potential to greatly change livelihoods. Information on how AI/R may affect the poor is scarce. This chapter aims to address this gap in research. A framework is established that depicts poverty and marginality conditions of health, education, public services, work, small businesses, including farming, as well as the voice and empowerment of the poor. This framework identifies points of entry of AI/R, and is complemented by a more detailed discussion of the way in which changes through AI/R in these areas may relate positively or negatively to the livelihood of the poor. Context will play an important role determining the AI/R consequences for the diverse populations in poverty and marginalized populations at risk. This chapter calls for empirical scenarios and modelling analyses to better understand the different components in the emerging technological and institutional AI/R innovations and to identify how they will shape the livelihoods of poor households and communities.

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Artificial Intelligence, Jobs and the Future of Work: Racing with the Machines

Cited by 68 publications

References 6 publications

Influence of artificial intelligence on public employment and its impact on politics: A systematic literature review

Influence of artificial intelligence on public employment and its impact on politics: A systematic literature review

Automation, basic income, and merit

AI/Robotics and the Poor

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