This chapter addresses the pressing issue of ethical AI integration in digital marketing for sustainable public health in Africa, highlighting the challenges and opportunities that arise from the intersection of technology and health equity. The systematic literature review used the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) methodology, which provided a structured approach to identify, screen, and select relevant studies. The review process involved a comprehensive search across multiple databases, yielding a final corpus of 17 articles that met the inclusion criteria. Key findings from the review underscore the multifaceted ethical considerations involved in deploying AI-driven marketing strategies in public health, particularly regarding health equity, data governance, and stakeholder engagement. Despite the promise of AI to enhance public health outreach and engagement, significant gaps remain in existing ethical frameworks, particularly in areas related to bias mitigation and culturally sensitive communication. The implications of these findings are profound, suggesting that robust ethical guidelines are essential for ensuring that AI technologies are deployed responsibly and equitably in public health marketing. Policymakers are urged to establish comprehensive regulations prioritising transparency, accountability, and public engagement in AI applications. At the same time, businesses are encouraged to adopt ethical practices that include stakeholder involvement and regular audits of AI systems to mitigate biases. Furthermore, the chapter emphasises the need for interdisciplinary collaboration among researchers, practitioners, and policymakers to develop culturally sensitive frameworks that can adapt to diverse populations. Future research should focus on longitudinal studies assessing the long-term impacts of AI-driven marketing strategies on health outcomes and exploring public perceptions of AI technologies to foster acceptance and effective implementation. Overall, this chapter contributes to the growing discourse on ethical AI in public health, advocating for responsible innovation that prioritises the well-being of all communities in Africa.

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Ethical AI Integration in Digital Marketing for Sustainable Public Health Development in Africa

  • Blessing Takawira,
  • Ayanda Sibiya,
  • Martha Chadyiwa,
  • David Pooe

摘要

This chapter addresses the pressing issue of ethical AI integration in digital marketing for sustainable public health in Africa, highlighting the challenges and opportunities that arise from the intersection of technology and health equity. The systematic literature review used the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) methodology, which provided a structured approach to identify, screen, and select relevant studies. The review process involved a comprehensive search across multiple databases, yielding a final corpus of 17 articles that met the inclusion criteria. Key findings from the review underscore the multifaceted ethical considerations involved in deploying AI-driven marketing strategies in public health, particularly regarding health equity, data governance, and stakeholder engagement. Despite the promise of AI to enhance public health outreach and engagement, significant gaps remain in existing ethical frameworks, particularly in areas related to bias mitigation and culturally sensitive communication. The implications of these findings are profound, suggesting that robust ethical guidelines are essential for ensuring that AI technologies are deployed responsibly and equitably in public health marketing. Policymakers are urged to establish comprehensive regulations prioritising transparency, accountability, and public engagement in AI applications. At the same time, businesses are encouraged to adopt ethical practices that include stakeholder involvement and regular audits of AI systems to mitigate biases. Furthermore, the chapter emphasises the need for interdisciplinary collaboration among researchers, practitioners, and policymakers to develop culturally sensitive frameworks that can adapt to diverse populations. Future research should focus on longitudinal studies assessing the long-term impacts of AI-driven marketing strategies on health outcomes and exploring public perceptions of AI technologies to foster acceptance and effective implementation. Overall, this chapter contributes to the growing discourse on ethical AI in public health, advocating for responsible innovation that prioritises the well-being of all communities in Africa.