Kenya is at a critical juncture in utilizing artificial intelligence (AI) for financial inclusion, but expert Jimmie Mwangi warns that without strong governance, AI-driven credit scoring may exacerbate existing inequalities. He emphasizes the need for ethical standards and transparency in AI systems to ensure fair credit access for all, particularly for the unbanked and underserved populations.
The article discusses the urgent need for governance frameworks to manage the interactions of multi-agent AI systems, highlighting the risks posed by their autonomous decision-making capabilities. It draws parallels with maritime governance, emphasizing the importance of transparency, accountability, and safety protocols to ensure responsible deployment of AI technologies.
The rapid growth of artificial intelligence (AI) is reshaping the digital landscape, amplifying existing online harms and introducing new safety risks, particularly through the use of deepfakes. A safety by design governance approach is necessary to address these AI-facilitated online harms by establishing interventions at various stages of the online harm lifecycle.
The article discusses the significant regulatory uncertainty surrounding global AI oversight and the importance of building governance frameworks to manage AI risks. Michael Berger from Munich Re emphasizes that organizations must actively define risk tolerance and diversify AI models to mitigate systemic biases and operational errors.