person
Shakir Mohamed
DeepMind researcher; decolonial AI framework
Research scientist at DeepMind who has advanced decolonial framings of AI, arguing AI systems and their ethics should centre historically marginalised geographies and communities.
Profile
expertise
Deep technical
Sustained peer-reviewed contribution to ML, alignment, interpretability, or safety techniques. Could review a frontier paper.
Google DeepMind. Senior researcher; co-founded Deep Learning Indaba. Active publisher on probabilistic ML and AI ethics.
recognition
Established
Reliable, recognised voice within their specific subfield. Cited and invited but not central to general AI discourse.
Recognised in academic ML and African-AI community.
vintage
Deep-learning rise
Came up post-AlexNet. ImageNet, AlphaGo, transformer paper. DeepMind, Google Brain, FAIR establish the modern lab template.
DeepMind from 2013. Career is the deep-learning era.
Hand-classified. See the board for the criteria and the full grid.
Strategy positions
Governance firstendorses
Lead with regulation, treaties, liability regimesArgues decolonial ethics and participatory methods must be foundational to AI research and deployment.
Decolonial AI centres lived experience, colonial legacies, and power. It is not a sideline to 'real' AI ethics, it is the foundation.
Closest strategy neighbours
by jaccard overlapOther people whose strategy tags overlap with Shakir Mohamed's. Overlap is on tag identity, not stance; opposites can show up if they reference the same tags.
Record last updated 2026-04-24.