Published June 10, 2024 | Version v3
Conference paper Open

Democratizing AI: Exploiting Generative AI to Expand Policy Access and Improve Public Participation in Policy-Making in sub-Saharan Africa

  • 1. Policy Vault
  • 2. ROR icon Ahmadu Bello University
  • 3. Dev-Afrique Development Advisors

Description

This paper discusses potential approaches to increase the adoption of GenAI for effective policy dissemination and increased citizen participation in sub-Saharan Africa. It also explores potential strategies to address the challenges and risks posed by AI on governance in sub-Saharan Africa.

Abstract (English)

Technologies based on Artificial Intelligence (AI) present an opportunity for Africa to enhance government transparency, drive transformation, and reimagine its economic growth. Its usage could, however, exacerbate existing social and economic inequalities.

This paper focuses on the potential of Generative AI (GenAI) systems based on Large Language Models (LLMs) to expand citizens’ access to government policies and promote public participation in policy-making in sub-Saharan Africa. It also explores strategies to mitigate inequality and uphold fundamental rights and freedoms, such as the right to privacy and personal data protection.

This paper has four objectives 1. Assess how GenAI presents opportunities for open governance and citizen participation 2. Analyze national strategies and frameworks for AI by governments in sub-Saharan Africa and their alignment with global standards; 3. Identify obstacles and possible solutions to introducing AI in policy-making and governance 4. Identify challenges and risks posed by AI to governance in Africa and develop recommendations to address data protection and human rights issues. The discussion was informed by strategies and policy documents on AI in Africa and insights from users of GovTech solutions.

Files

1400_Durosaye.pdf

Files (811.8 kB)

Name Size Download all
md5:5f7165e406786ce10e722066f9b65355
134.2 kB Preview Download
md5:9bccfed2cdb76f7d48f6f7fcbc4155ab
677.6 kB Preview Download