Artificial intelligence and income inequality: Do technological changes and worker's position matter?

Goyal, Akankasha; Aneja, Ranjan

doi:10.1002/pa.2326

Cited by 16 publications

(11 citation statements)

References 12 publications

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“…Goyal & Aneja (2020) demonstrated that the Gini coefficient of developing countries is higher than that of developed countries, which indicates that the degree of income inequality in developing countries is higher than that in developed countries [6]. The critical reason is that developing countries still have a significant gap in artificial intelligence technology and automation, and their production methods are still relatively primitive.…”

Section: Ai Affects the Gap Between Rich And Poor In Different Countriesmentioning

confidence: 99%

AI Widens the Gap between the Rich and the Poor

Qiu

Liu

2023

SHS Web Conf.

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Since entering the 21st century, high technology has developed at a rapid pace. The development of high technology has changed the methods of production and lifestyle of human beings. While enjoying the efficiency, comfort, and convenience brought by high technologies, people find that the gap between the rich and the poor has been widening. More and more attentions have been paid to the influences on the gap between the rich and the poor arising from the development of high technologies, especially from the development of artificial intelligence (AI) technology. This paper focuses on this social phenomenon and demonstrates that the development of AI will widen the gap between the rich and the poor. The paper will proceed with the discussion from three levels of human actives: individual, company, and country.

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Section: Ai Affects the Gap Between Rich And Poor In Different Countriesmentioning

confidence: 99%

AI Widens the Gap between the Rich and the Poor

Qiu

Liu

2023

SHS Web Conf.

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“…AI systems are already contributing to SDG 11 in numerous cities around the world, but their use for smart cities has been criticized for lacking genuine sustainability and citizen-centric approach as well as for being focused on highly developed economies [187]. Moreover, several targets ( ) and potential bias [192,[200][201][202][203][204][205]. Indeed, AI has been widely criticized for augmenting inequality, bias, discrimination, and reproducing hierarchies [204].…”

Section: Group 3: Ai As a DImentioning

confidence: 99%

Operationalizing Digitainability: Encouraging mindfulness to harness the power of digitalization for sustainable development

Gupta¹,

Zeballos²,

Castro³

et al. 2022

Preprint

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Digitalization is globally transforming the world with profound implications. It has enormous potential to foster progress toward sustainability. However, in its current form, digitalization also continues to enable and encourage practices with numerous unsustainable impacts affecting our environment, ingraining inequality, and degrading quality of life. There is an urgent need to identify such multifaceted impacts holistically. Impact assessment of digital interventions (DIs) leading to digitalization is important specifically for Sustainable Development Goals(SDGs). Action is required to understand the pursuit of short-term gains toward achieving long-term value-driven sustainable development. We need to understand the impact of DIs on various actors and in diverse contexts. A holistic understanding of the impact it creates will help us align it with visions of sustainable development and identify potential measures to mitigate negative short and long-term impacts. The recently developed Digitainability Assessment Framework (DAF) unveils the impact of DIs with an in-depth context-aware assessment and offers an evidence-based impact profile of SDGs at the indicator level. We performed the impact assessment of diverse technologies using DAF. This paper summarizes the insights from the Digitainable Spring School 2022 on "Sustainability with Digitalization and Artificial Intelligence," one of whose goals was to operationalize the DAF as a tool in the action learning process with diverse professionals in the field of digitalization and sustainability. The DAF guides a holistic context-aware process formulation for a given DI. An evidence-based evaluation within the DAF protocol benchmarks a specific DI’s impact against the SDG indicators framework. The operationalization of the DAF was carried out by looking at four different DIs: smart home technologies (SHT) for energy efficiency, blockchain for food security, artificial intelligence for land use cover and changes (LUCC), and big data for international law. Each of the four studies addresses different DIs for digitainability assessment using different techniques for a diverse group of indicators, demonstrating the potential of the DAF but also outlining the existing data gaps that limit a comprehensive analysis.

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“…In addition to closely monitoring AI development and trends to ensure fairness in the workplace, government leaders need to prepare for the possibility of unprecedented mass unemployment in the near future caused by relentless advances in AI in many industries. The increased use of AI has already led to significant job losses and to increased levels of income inequality in many countries (Goyal & Aneja, 2020). For example, driverless vehicles guided by AI are replacing human taxi drivers, bus drivers, and truck drivers, and many banks have drastically reduced employee numbers through the increased use of AI and automated online banking services.…”

Section: Preparing Global Society For Co-existence and Effective Coll...mentioning

confidence: 99%

The Asian Conference on the Social Sciences 2022: Official Conference Proceedings

2022

ACSS Official Conference Proceedings

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This study compares and contrasts major trends in the development of artificial intelligence (AI) and examines the changes that AI is causing in society, education, and work. Based on current trends, predictions regarding future directions of AI research and its impact on society are made. Recommendations are made regarding the responsible and effective use of AI technology in different fields. AI-based machines and systems that can learn from experience, analyze complex situations, and make some independent decisions and predictions may soon fundamentally change the way humans live, study, and work (Husain, 2018). Governments, education systems, and companies need to adapt to emerging AI technologies and to prepare citizens, students, and workers for co-existence with increasingly autonomous online systems and interconnected machines. An understanding of the benefits and potential risks of AI can help leaders, educators, and managers to plan and prepare for a global society in which AI-based systems and machines may play an important role in many aspects of human activity.

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Artificial intelligence and income inequality: Do technological changes and worker's position matter?

Cited by 16 publications

References 12 publications

AI Widens the Gap between the Rich and the Poor

AI Widens the Gap between the Rich and the Poor

Operationalizing Digitainability: Encouraging mindfulness to harness the power of digitalization for sustainable development

The Asian Conference on the Social Sciences 2022: Official Conference Proceedings

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