19 citations · 84 across the 15 of their papers we have counts for
16 papers
Moral Missions: Sustaining Responsible Practice by Surfacing Practitioner Moral Decision-Making Procedures
Teanna Barrett, B. Biira, Jainaba Jawara +8
A growing ecosystem of techniques, toolkits, and guidelines has been developed to help data scientists consider the social implications of data-driven technologies. However, prior…
Reimagining Open Source and Openness in AI: Co-Creating Responsible Technological Futures
Genevieve Smith, Hiral Patel, Steven Luo +20
Debates over open source and openness in artificial intelligence have intensified as policymakers, researchers, and practitioners grapple with how foundation models should be devel…
Assessing the Case for Africa-Centric AI Safety Evaluations
Gathoni Ireri, Cecil Abungu, Jean Cheptumo +6
Frontier AI systems are being adopted across Africa, yet most AI safety evaluations are designed and validated in Western environments. In this paper, we argue that the portability…
The Global Majority in International AI Governance
Chinasa T. Okolo, Mubarak Raji
This chapter examines the global governance of artificial intelligence (AI) through the lens of the Global AI Divide, focusing on disparities in AI development, innovation, and reg…
African Data Ethics: A Discursive Framework for Black Decolonial Data Science
Teanna Barrett, Chinasa T. Okolo, B. Biira +3
The shift towards pluralism in global data ethics acknowledges the importance of including perspectives from the Global Majority to develop responsible data science practices that…
International AI Safety Report
Yoshua Bengio, Sören Mindermann, Daniel Privitera +93
The first International AI Safety Report comprehensively synthesizes the current evidence on the capabilities, risks, and safety of advanced AI systems. The report was mandated by…
International Scientific Report on the Safety of Advanced AI (Interim Report)
Yoshua Bengio, Sören Mindermann, Daniel Privitera +41
This is the interim publication of the first International Scientific Report on the Safety of Advanced AI. The report synthesises the scientific understanding of general-purpose AI…
AI and the Future of Work in Africa White Paper
Jacki O'Neill, Vukosi Marivate, Barbara Glover +71
This white paper is the output of a multidisciplinary workshop in Nairobi (Nov 2023). Led by a cross-organisational team including Microsoft Research, NEPAD, Lelapa AI, and Univers…
"Come to us first": Centering Community Organizations in Artificial Intelligence for Social Good Partnerships
Hongjin Lin, Naveena Karusala, Chinasa T. Okolo +2
Artificial Intelligence for Social Good (AI4SG) has emerged as a growing body of research and practice exploring the potential of AI technologies to tackle social issues. This area…
African Democracy in the Era of Generative Disinformation: Challenges and Countermeasures against AI-Generated Propaganda
Chinasa T. Okolo
In light of prominent discourse around the negative implications of generative AI, an emerging area of research is investigating the current and estimated impacts of AI-generated p…
Recent Advances, Applications, and Open Challenges in Machine Learning for Health: Reflections from Research Roundtables at ML4H 2023 Symposium
Hyewon Jeong, Sarah Jabbour, Yuzhe Yang +40
The third ML4H symposium was held in person on December 10, 2023, in New Orleans, Louisiana, USA. The symposium included research roundtable sessions to foster discussions between…
Case Studies of AI Policy Development in Africa
Kadijatou Diallo, Jonathan Smith, Chinasa T. Okolo +3
Artificial Intelligence (AI) requires new ways of evaluating national technology use and strategy for African nations. We conduct a survey of existing 'readiness' assessments both…
Towards a Praxis for Intercultural Ethics in Explainable AI
Chinasa T. Okolo
Explainable AI (XAI) is often promoted with the idea of helping users understand how machine learning models function and produce predictions. Still, most of these benefits are res…
IAC: A Framework for Enabling Patient Agency in the Use of AI-Enabled Healthcare
Chinasa T. Okolo, Michelle González Amador
In healthcare, the role of AI is continually evolving, and understanding the challenges its introduction poses on relationships between healthcare providers and patients will requi…
The Limits of Global Inclusion in AI Development
Alan Chan, Chinasa T. Okolo, Zachary Terner +1
Those best-positioned to profit from the proliferation of artificial intelligence (AI) systems are those with the most economic power. Extant global inequality has motivated Wester…
AI in the "Real World": Examining the Impact of AI Deployment in Low-Resource Contexts
Chinasa T. Okolo
As AI becomes integrated throughout the world, its potential for impact within low-resource regions around the Global South have grown. AI research labs from tech giants like Micro…