I’m Munenyashaishe (Ishe) Hove, an AI governance and safety researcher from Zimbabwe.

My background spans audit, data science, AI teaching, digital transformation, responsible AI, and technology governance. I’m currently pursuing a PhD in Information Systems and Technology at the University of KwaZulu-Natal.

My PhD focuses on operationalizing AI safety governance in resource-constrained African organizational contexts. I’m especially interested in how organizations identify where AI is being used, make AI-related risks visible, generate risk signals through controls, evaluations, audits, monitoring, and incidents, and translate those signals into structured governance decisions.

I’m currently trying to build a sustainable career in AI safety, AI governance, technical governance, and related research or policy work. I’m particularly interested in the space between technical AI safety evidence and institutional decision-making.

I’d be grateful for help with:

• Advice on pathways into AI safety, AI governance, technical governance, or policy research roles

• Introductions to people or organizations working on AI governance, evaluations, AI safety, institutional risk, frontier AI governance, or technical governance

• Feedback on my PhD research direction, especially how to make the AI Risk Visibility Gap and Evaluation-Governance Gap useful to AI safety organizations

• Suggestions for fellowships, research assistantships, jobs, grants, or collaborations that fit someone with my background

• Advice on how to move from “promising applicant” to actually being hired, funded, or embedded in the AI safety/governance ecosystem

• Connections to people working on AI safety and governance from African, Black diaspora, or Global South contexts

I can help with:

• AI governance and responsible AI research

• Thinking through AI risk, governance processes, institutional capacity, and implementation challenges

• Data science, Python, machine learning, and AI learning pathways

• Research design, literature review, academic writing, and fellowship/application feedback

• Teaching, curriculum design, and explaining technical concepts clearly

• Perspectives on AI governance and technology adoption in African and resource-constrained contexts

• Audit, controls, documentation, accountability, and risk-management thinking

• Connecting people to AI safety, EA, data science, and African tech/community networks where I can