Global and Emerging Voices in AI

Part of the AI People directory: a structured reference to the individuals shaping artificial intelligence across research, industry, governance, ethics and public discourse.

Moustapha Cissé, African AI and capacity building, Senegal. Founded Google AI Ghana and leads efforts building AI research capacity in Africa, developing local communities and infrastructure that expand who participates in shaping AI's future. Key works: Google AI Ghana; African ML community building.

Shakir Mohamed, probabilistic ML and community building, South Africa. DeepMind researcher and Deep Learning Indaba co-founder, whose technical work on probabilistic models complements community building that strengthens African AI research. Key works: Deep Learning Indaba; probabilistic ML research.

Vukosi Marivate, African language NLP, South Africa. Leads the Data Science for Social Impact group and co-founded Masakhane, building NLP resources for African languages so language technology serves more of the world's population. Key works: Masakhane; African-language NLP.

Kathleen Siminyu, language technology and community, Kenya. Language-data specialist working on African-language AI at Mozilla, building datasets and communities for underrepresented languages to expand AI's linguistic coverage. Key works: Masakhane; African-language datasets.

Sara Hooker, efficiency and research access, United States. Leads Cohere For AI, which provides compute access to researchers who lack resources, with technical work on model efficiency and community building that both address barriers to research participation. Key works: Cohere For AI; efficiency research.

Sasha Luccioni, AI environmental impact, France. Leads climate research at Hugging Face, measuring and working to reduce AI's carbon footprint and providing data for more sustainable development. Key works: AI carbon-footprint research; climate AI.

Yi Zeng, AI ethics and Chinese perspective, China. Leads AI ethics research at the Chinese Academy of Sciences, providing Chinese academic perspectives on governance and bridging Chinese and international AI ethics discussions. Key works: AI ethics research; China AI governance.

B. Ravindran, Indian AI research, India. Leads AI research at IIT Madras and works on building Indian AI research capacity, ensuring India's large technical community contributes to and benefits from AI advances. Key works: IIT Madras AI; Indian AI capacity building.

Pushmeet Kohli, research leadership, United Kingdom. VP of Research at Google DeepMind whose work spans machine learning and scientific applications, leading teams working on AI for science and foundational ML research. Key works: DeepMind research leadership; ML applications to science.