5 papers
Cognitive Digital Twins: Ethical Risks and Governance for AI Systems That Model the Mind
Vamshi Krishna Bonagiri, Juan Nicolas Sepulveda-Arias, Abdoul Jalil Djiberou Mahamadou +1
As AI systems become increasingly persistent and personalized, they make possible a class of technologies that we call cognitive digital twins (CDTs): dynamic computational represe…
Revisiting Technical Bias Mitigation Strategies
Abdoul Jalil Djiberou Mahamadou, Artem A. Trotsyuk
Efforts to mitigate bias and enhance fairness in the artificial intelligence (AI) community have predominantly focused on technical solutions. While numerous reviews have addressed…
Justice in Healthcare Artificial Intelligence in Africa
Aloysius Ochasi, Abdoul Jalil Djiberou Mahamadou, Russ B. Altman
There is an ongoing debate on balancing the benefits and risks of artificial intelligence (AI) as AI is becoming critical to improving healthcare delivery and patient outcomes. Suc…
Data Ethics in the Era of Healthcare Artificial Intelligence in Africa: An Ubuntu Philosophy Perspective
Abdoul Jalil Djiberou Mahamadou, Aloysius Ochasi, Russ B. Altman
Data are essential in developing healthcare artificial intelligence (AI) systems. However, patient data collection, access, and use raise ethical concerns, including informed conse…
Individual Fairness Through Reweighting and Tuning
Abdoul Jalil Djiberou Mahamadou, Lea Goetz, Russ Altman
Inherent bias within society can be amplified and perpetuated by artificial intelligence (AI) systems. To address this issue, a wide range of solutions have been proposed to identi…