Ethical Governance of AI in the Global South: A Human Rights Approach to Responsible Use of AI

Astobiza, Aníbal Monasterio; Ausín, Txetxu; Liedo, Belén; Toboso, Mario; Aparicio, Manuel; López, Daniel

doi:10.3390/proceedings2022081136

Cited by 5 publications

(2 citation statements)

References 7 publications

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“…However, while the Global North is leading the debate on how to build, regulate, and make an "explainable, trustworthy, responsible use of AI and BDA for social good" [81], the Global South is significantly lagging behind in the efforts to devise an ethical governance architecture for AI and BDA [82][83][84]. In this regard, the Global South, an already excluded, marginalized, disenfranchised, oppressed, and discriminated reality, is exposed to further vulnerabilities, depending on "northern domination" [84], and having to "import digital technology, capital and modes of organization from these developed countries" [84].…”

Section: Ethical and Regulatory Challenges Of Artificial Intelligence...mentioning

confidence: 99%

Leveraging Responsible, Explainable, and Local Artificial Intelligence Solutions for Clinical Public Health in the Global South

et al. 2023

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In the present paper, we will explore how artificial intelligence (AI) and big data analytics (BDA) can help address clinical public and global health needs in the Global South, leveraging and capitalizing on our experience with the “Africa-Canada Artificial Intelligence and Data Innovation Consortium” (ACADIC) Project in the Global South, and focusing on the ethical and regulatory challenges we had to face. “Clinical public health” can be defined as an interdisciplinary field, at the intersection of clinical medicine and public health, whilst “clinical global health” is the practice of clinical public health with a special focus on health issue management in resource-limited settings and contexts, including the Global South. As such, clinical public and global health represent vital approaches, instrumental in (i) applying a community/population perspective to clinical practice as well as a clinical lens to community/population health, (ii) identifying health needs both at the individual and community/population levels, (iii) systematically addressing the determinants of health, including the social and structural ones, (iv) reaching the goals of population’s health and well-being, especially of socially vulnerable, underserved communities, (v) better coordinating and integrating the delivery of healthcare provisions, (vi) strengthening health promotion, health protection, and health equity, and (vii) closing gender inequality and other (ethnic and socio-economic) disparities and gaps. Clinical public and global health are called to respond to the more pressing healthcare needs and challenges of our contemporary society, for which AI and BDA can help unlock new options and perspectives. In the aftermath of the still ongoing COVID-19 pandemic, the future trend of AI and BDA in the healthcare field will be devoted to building a more healthy, resilient society, able to face several challenges arising from globally networked hyper-risks, including ageing, multimorbidity, chronic disease accumulation, and climate change.

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Section: Ethical and Regulatory Challenges Of Artificial Intelligence...mentioning

confidence: 99%

Leveraging Responsible, Explainable, and Local Artificial Intelligence Solutions for Clinical Public Health in the Global South

et al. 2023

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“…However, as Chan et al (2021) stress, such "participation" is limited to work which is low level and low paid-and there are systemic barriers that prevent more meaningful or collaborative forms of participation. The result is a new form of extractivism (Monasterio Astobiza et al, 2022), reminiscent of the colonial plundering of resources, where valuable raw materials are harvested and built into lucrative AI products by powerful digital empires.…”

Section: Colonial Circuitsmentioning

confidence: 99%

Digital Labor, Platforms, and AI

Munn

2023

Introduction to Digital Humanism

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This chapter examines the role that platform labor plays in the development of contemporary AI systems. While such systems are often touted as magical innovations, they are typically propped up by vast amounts of human laborers, who clean the data, manually label key features, and moderate toxic content, among other tasks. Proponents claim these tasks offer flexibility and pay; critics counter that this work is exploitative and precarious, taking advantage of the already marginalized. This chapter surfaces this often-invisible labor, highlighting several key issues around its poor or nonexistent remuneration, exploitative mechanisms, negative impact on well-being, and extractive colonial logics. The chapter suggests several interventions, from concrete policy to corporate responsibility, that might lead to improvements. As AI technologies proliferate into many domains, the hidden labor required to develop them—and the negative impacts this has on lives and livelihoods—becomes an increasingly urgent issue.

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Artificial intelligence national strategy in a developing country

Demaidi

2023

AI & Soc

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Artificial intelligence (AI) national strategies provide countries with a framework for the development and implementation of AI technologies. Sixty countries worldwide published their AI national strategies. The majority of these countries with more than 70% are developed countries. The approach of AI national strategies differentiates between developed and developing countries in several aspects including scientific research, education, talent development, and ethics. This paper examined AI readiness assessment in a developing country (Palestine) to help develop and identify the main pillars of the AI national strategy. AI readiness assessment was applied across education, entrepreneurship, government, and research and development sectors in Palestine (case of a developing country). In addition, it examined the legal framework and whether it is coping with trending technologies. The results revealed that Palestinians have low awareness of AI. Moreover, AI is barely used across several sectors and the legal framework is not coping with trending technologies. The results helped develop and identify the following five main pillars that Palestine’s AI national strategy should focus on: AI for Government, AI for Development, AI for Capacity Building in the private, public and technical and governmental sectors, AI and Legal Framework, and international Activities.

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Ethical Governance of AI in the Global South: A Human Rights Approach to Responsible Use of AI

Cited by 5 publications

References 7 publications

Leveraging Responsible, Explainable, and Local Artificial Intelligence Solutions for Clinical Public Health in the Global South

Leveraging Responsible, Explainable, and Local Artificial Intelligence Solutions for Clinical Public Health in the Global South

Digital Labor, Platforms, and AI

Artificial intelligence national strategy in a developing country

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