Case Studies of AI Policy Development in Africa
Fuente:
arXiv
Saved in:
| Main Authors: | Diallo, Kadijatou, Smith, Jonathan, Okolo, Chinasa T., Nyamwaya, Dorcas, Kgomo, Jonas, Ngamita, Richard |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
African Democracy in the Era of Generative Disinformation: Challenges and Countermeasures against AI-Generated Propaganda
by: Okolo, Chinasa T.
Published: (2024)
by: Okolo, Chinasa T.
Published: (2024)
The Global Majority in International AI Governance
by: Okolo, Chinasa T., et al.
Published: (2026)
by: Okolo, Chinasa T., et al.
Published: (2026)
Globalizing Fairness Attributes in Machine Learning: A Case Study on Health in Africa
by: Asiedu, Mercy Nyamewaa, et al.
Published: (2023)
by: Asiedu, Mercy Nyamewaa, et al.
Published: (2023)
Nteasee: Understanding Needs in AI for Health in Africa -- A Mixed-Methods Study of Expert and General Population Perspectives
by: Asiedu, Mercy Nyamewaa, et al.
Published: (2024)
by: Asiedu, Mercy Nyamewaa, et al.
Published: (2024)
Transparent AI: The Case for Interpretability and Explainability
by: Ramachandram, Dhanesh, et al.
Published: (2025)
by: Ramachandram, Dhanesh, et al.
Published: (2025)
Operationalizing the Blueprint for an AI Bill of Rights: Recommendations for Practitioners, Researchers, and Policy Makers
by: Oesterling, Alex, et al.
Published: (2024)
by: Oesterling, Alex, et al.
Published: (2024)
AI Data Development: A Scorecard for the System Card Framework
by: Bahiru, Tadesse K., et al.
Published: (2025)
by: Bahiru, Tadesse K., et al.
Published: (2025)
Thousands of AI Authors on the Future of AI
by: Grace, Katja, et al.
Published: (2024)
by: Grace, Katja, et al.
Published: (2024)
The Case for ESM3 as a General-Purpose AI Model with Systemic Risk Under the EU AI Act
by: Qureshi, Taro, et al.
Published: (2026)
by: Qureshi, Taro, et al.
Published: (2026)
Machine Unlearning Doesn't Do What You Think: Lessons for Generative AI Policy and Research
by: Cooper, A. Feder, et al.
Published: (2024)
by: Cooper, A. Feder, et al.
Published: (2024)
Towards Responsible Development of Generative AI for Education: An Evaluation-Driven Approach
by: Jurenka, Irina, et al.
Published: (2024)
by: Jurenka, Irina, et al.
Published: (2024)
Generative AI Policies under the Microscope: How CS Conferences Are Navigating the New Frontier in Scholarly Writing
by: Nahar, Mahjabin, et al.
Published: (2024)
by: Nahar, Mahjabin, et al.
Published: (2024)
International AI Safety Report
by: Bengio, Yoshua, et al.
Published: (2025)
by: Bengio, Yoshua, et al.
Published: (2025)
Scaling Legal AI: Benchmarking Mamba and Transformers for Statutory Classification and Case Law Retrieval
by: Maurya, Anuraj
Published: (2025)
by: Maurya, Anuraj
Published: (2025)
Assessing the Case for Africa-Centric AI Safety Evaluations
by: Ireri, Gathoni, et al.
Published: (2026)
by: Ireri, Gathoni, et al.
Published: (2026)
Towards Effective Discrimination Testing for Generative AI
by: Zollo, Thomas P., et al.
Published: (2024)
by: Zollo, Thomas P., et al.
Published: (2024)
Developing and Deploying Industry Standards for Artificial Intelligence in Education (AIED): Challenges, Strategies, and Future Directions
by: Tong, Richard, et al.
Published: (2024)
by: Tong, Richard, et al.
Published: (2024)
Beyond Algorithmic Fairness: A Guide to Develop and Deploy Ethical AI-Enabled Decision-Support Tools
by: Gonzalez, Rosemarie Santa, et al.
Published: (2024)
by: Gonzalez, Rosemarie Santa, et al.
Published: (2024)
AI-Generated Faces in the Real World: A Large-Scale Case Study of Twitter Profile Images
by: Ricker, Jonas, et al.
Published: (2024)
by: Ricker, Jonas, et al.
Published: (2024)
Revolutionising Distance Learning: A Comparative Study of Learning Progress with AI-Driven Tutoring
by: Möller, Moritz, et al.
Published: (2024)
by: Möller, Moritz, et al.
Published: (2024)
M-CARE: Standardized Clinical Case Reporting for AI Model Behavioral Disorders, with a 20-Case Atlas and Experimental Validation
by: Jeong, Jihoon
Published: (2026)
by: Jeong, Jihoon
Published: (2026)
How Effective Is Constitutional AI in Small LLMs? A Study on DeepSeek-R1 and Its Peers
by: Menke, Antonio-Gabriel Chacón, et al.
Published: (2025)
by: Menke, Antonio-Gabriel Chacón, et al.
Published: (2025)
Retrieval Improvements Do Not Guarantee Better Answers: A Study of RAG for AI Policy QA
by: Mathur, Saahil, et al.
Published: (2026)
by: Mathur, Saahil, et al.
Published: (2026)
FairFML: Fair Federated Machine Learning with a Case Study on Reducing Gender Disparities in Cardiac Arrest Outcome Prediction
by: Li, Siqi, et al.
Published: (2024)
by: Li, Siqi, et al.
Published: (2024)
Impact of Fairness Regulations on Institutions' Policies and Population Qualifications
by: Montaseri, Hamidreza, et al.
Published: (2024)
by: Montaseri, Hamidreza, et al.
Published: (2024)
AI tutoring can safely and effectively support students: An exploratory RCT in UK classrooms
by: LearnLM Team, et al.
Published: (2025)
by: LearnLM Team, et al.
Published: (2025)
Lessons for Editors of AI Incidents from the AI Incident Database
by: Paeth, Kevin, et al.
Published: (2024)
by: Paeth, Kevin, et al.
Published: (2024)
Regulating AI Adaptation: An Analysis of AI Medical Device Updates
by: Wu, Kevin, et al.
Published: (2024)
by: Wu, Kevin, et al.
Published: (2024)
Mapping the Potential of Explainable AI for Fairness Along the AI Lifecycle
by: Deck, Luca, et al.
Published: (2024)
by: Deck, Luca, et al.
Published: (2024)
AI Toolkit: Libraries and Essays for Exploring the Technology and Ethics of AI
by: Ho, Levin, et al.
Published: (2025)
by: Ho, Levin, et al.
Published: (2025)
Rigor in AI: Doing Rigorous AI Work Requires a Broader, Responsible AI-Informed Conception of Rigor
by: Olteanu, Alexandra, et al.
Published: (2025)
by: Olteanu, Alexandra, et al.
Published: (2025)
Cognitive Structure Generation: From Educational Priors to Policy Optimization
by: Gu, Hengnian, et al.
Published: (2025)
by: Gu, Hengnian, et al.
Published: (2025)
Practical Application and Limitations of AI Certification Catalogues in the Light of the AI Act
by: Autischer, Gregor, et al.
Published: (2025)
by: Autischer, Gregor, et al.
Published: (2025)
AI-Cybersecurity Education Through Designing AI-based Cyberharassment Detection Lab
by: Okpala, Ebuka, et al.
Published: (2024)
by: Okpala, Ebuka, et al.
Published: (2024)
Beware! The AI Act Can Also Apply to Your AI Research Practices
by: Wernick, Alina, et al.
Published: (2025)
by: Wernick, Alina, et al.
Published: (2025)
Defining AI Models and AI Systems: A Framework to Resolve the Boundary Problem
by: Sun, Yuanyuan, et al.
Published: (2026)
by: Sun, Yuanyuan, et al.
Published: (2026)
Virtual Urbanism: An AI-Driven Framework for Quantifying Urban Identity. A Tokyo-Based Pilot Study Using Diffusion-Generated Synthetic Environments
by: Maria, Glinskaya
Published: (2026)
by: Maria, Glinskaya
Published: (2026)
Towards AI Transparency and Accountability: A Global Framework for Exchanging Information on AI Systems
by: Buckley, Warren, et al.
Published: (2023)
by: Buckley, Warren, et al.
Published: (2023)
Measuring What AI Systems Might Do: Towards A Measurement Science in AI
by: Voudouris, Konstantinos, et al.
Published: (2026)
by: Voudouris, Konstantinos, et al.
Published: (2026)
Enhancing Safety in Reinforcement Learning with Human Feedback via Rectified Policy Optimization
by: Peng, Xiyue, et al.
Published: (2024)
by: Peng, Xiyue, et al.
Published: (2024)
Similar Items
-
African Democracy in the Era of Generative Disinformation: Challenges and Countermeasures against AI-Generated Propaganda
by: Okolo, Chinasa T.
Published: (2024) -
The Global Majority in International AI Governance
by: Okolo, Chinasa T., et al.
Published: (2026) -
Globalizing Fairness Attributes in Machine Learning: A Case Study on Health in Africa
by: Asiedu, Mercy Nyamewaa, et al.
Published: (2023) -
Nteasee: Understanding Needs in AI for Health in Africa -- A Mixed-Methods Study of Expert and General Population Perspectives
by: Asiedu, Mercy Nyamewaa, et al.
Published: (2024) -
Transparent AI: The Case for Interpretability and Explainability
by: Ramachandram, Dhanesh, et al.
Published: (2025)