Epistemic Just and Dynamic AI Ethics in Africa

Ruttkamp-Bloem, Emma

doi:10.1007/978-3-031-08215-3_2

Cited by 7 publications

(6 citation statements)

References 22 publications

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“…Rather, aligned with the rediscovery of the (moderate) communitarian perspectives applicable to emerging technologies [ 83 ], the distincion of Bell [ 84 ] of the various types of communities sound plausible for the issue of domestic violence and the role of technology in it. Bell [ 84 ] emphasizes communities of a) place, b) memory, and c) psychological communities; all relevant for valued (communal) life.…”

Section: Discussionmentioning

confidence: 99%

A systematic review of ethical challenges and opportunities of addressing domestic violence with AI-technologies and online tools

Novitzky

Janssen

Kokkeler

2023

Heliyon

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Section: Discussionmentioning

confidence: 99%

A systematic review of ethical challenges and opportunities of addressing domestic violence with AI-technologies and online tools

Novitzky

Janssen

Kokkeler

2023

Heliyon

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“…In the USA, collaboration and knowledge exchange in AI integration can be enhanced through interdisciplinary project-driven courses that integrate different AI capabilities into cohesive systems (Eaton, 2017). Anticipated challenges and opportunities in AI integration include the need for sensitivity to how the concept of individual rights is interpreted in Africa and how AI ethics regulations are formulated (Ruttkamp-Bloem, 2023). This highlights the importance of considering the sociocultural context in the development of AI ethics regulations.…”

Section: Future Outlookmentioning

confidence: 99%

Ai Integration in Business Analytics: A Review of Usa and African Trends

Femi Osasona,

Andrew Ifesinachi Daraojimba,

Akoh Atadoga

et al. 2024

Comput. sci. IT res. j.

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The relentless evolution of Artificial Intelligence (AI) has significantly transformed the landscape of business analytics, offering unparalleled opportunities for organizations to enhance decision-making processes and gain a competitive edge. This study provides a comprehensive review of AI integration in business analytics, focusing on the distinctive trends observed in both the United States (USA) and African business ecosystems. In the United States, a technologically advanced market, the adoption of AI in business analytics has witnessed remarkable strides. Corporations across various sectors leverage AI-driven tools and algorithms to analyze vast datasets, extract meaningful insights, and optimize strategic decision-making. The USA's emphasis on innovation and robust technological infrastructure has propelled AI integration as a cornerstone of modern business strategies. Contrastingly, the African continent is experiencing a unique trajectory in AI adoption within the realm of business analytics. Despite facing challenges related to infrastructure and resource limitations, African businesses are increasingly recognizing the transformative potential of AI. Initiatives promoting AI education and collaboration with global tech partners have contributed to a growing awareness and implementation of AI in business analytics across various African industries. This review explores commonalities and divergences in the trends observed between the USA and Africa, highlighting the factors influencing AI integration in each region. Factors such as regulatory frameworks, cultural nuances, and economic landscapes play a pivotal role in shaping the AI landscape in both contexts. By understanding these trends, businesses can tailor their AI strategies to align with regional dynamics, fostering sustainable growth and innovation. This study provides valuable insights into the evolving landscape of AI integration in business analytics, offering a comparative analysis of trends in the USA and Africa. As organizations navigate the complexities of adopting AI, acknowledging regional variations becomes crucial for developing effective and context-specific strategies. Keywords: AI, Business Analytics, USA, Africa, Business, Innovation.

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“…Despite the globalized narratives, these policies essentially carry ideologies that amplify the concerns of the global north (Graham 2015). This calls for urgent contextual cultural analysis, interpretation and application of AI and related ethical principles (Hegarty & Rubinov, 2019;Ruttkamp-bloem, 2023), to allow alternative worldviews and epistemologies to legitimately emerge in the current digital order and knowledge production systems Rosendahl et al 2015). Framing of AI strategies, and assembling of the actual policies in Africa, as currently is, seems to overfocus on unlimited economic growth that sustains and is sustained by technology as highlighted by Klein(2014) and is working towards a mythical global corporation (Mclennan 2015).…”

Section: Anticipatory Framing Ai Policy In African Contextmentioning

confidence: 99%

“…While no doubt AI may produce positive effects on African populations, the question is whose AI and whose benefits is the current AI sociotechnical infrastructure propagating? Sustainable AI techno-futures may only be feasible if AI and emerging technology research, its governance, and related policy debates are premised on African societal needs (Ndaka & Majiwa 2024), shaped by contextual and cultural values (Robinson, 2020;Ruttkamp-bloem, 2023). This ensures that technology applied in Africa does not treat Africans as passive objects and recipients of technological tools (Hoffman, 1990), reducing them to performers of global discourses and regimes of truth as observed by Graham (2015).…”

Section: Introductionmentioning

confidence: 99%

AI – Ready? How African governments are assembling policy in anticipation for data and AI driven techno-futures.

Ndaka

2024

Preprint

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With the current growth of artificial Intelligence (AI)-driven applications in Africa, and the increasing media attention on data-driven decision-making in virtually all key spaces in government as well as the society, policy makers are becoming increasingly aware that AI-driven ecosystems are inevitable. In this chapter I draw from feminist STS approaches to discuss how different governments are anticipating AI technologies, paying particular attention in the ways this anticipation relates to framing and reframing of public policies. Of interest is the way the policy strategies capture or mute the role of the institutions and the people that will shape AI investment, design and use, and overall governance. By examining the three publicly available AI policy strategies, the chapter examines how different governments in the continent are anticipating and framing AI techno-futures. The chapter responds to the question: What do the publicly available AI policy strategies reveal about how African governments are framing and anticipating AI techno-futures? It tries to compare how different policies are framed, as well as what they reveal about how the governments see AI and big data compared to how the market sees it. The policies analysed reveal that African governments foregrounds technological advancement, economic growth, and research, and less focused on people and institutions whose role is important in determining how the value in the technology is shared equitably. The chapter argues that African governments and critical AI scholars need to invest in policy methodologies that counteract the tendency of large and emerging tech actors from presuming an inevitable journey of converting data to monetizable knowledge and other useful products. The chapter proposes that governments and AI critical scholars should “start seeing like a market” by focusing on the apparent assemblage of power, knowledge, and profits, and advancing policy frameworks that require a comprehensive account of how value is extracted from data collection processes, and how this ‘value’ translates to the flourishing or disenfranchising of the populations from which data is extracted. The chapter reveals some gaps and challenges to deliberative policy assemblage and engagement in relation to AI techno-futures in Africa. It proposes some of the ways different actors can contribute meaningfully to AI policies through deliberative policy processes.

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Epistemic Just and Dynamic AI Ethics in Africa

Cited by 7 publications

References 22 publications

A systematic review of ethical challenges and opportunities of addressing domestic violence with AI-technologies and online tools

A systematic review of ethical challenges and opportunities of addressing domestic violence with AI-technologies and online tools

Ai Integration in Business Analytics: A Review of Usa and African Trends

AI – Ready? How African governments are assembling policy in anticipation for data and AI driven techno-futures.

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