Mohamed, Shakir

Learning skillful medium-range global weather forecasting

Lam, R., Sanchez-Gonzalez, A., Willson, M., Wirnsberger, P., Fortunato, M., Alet, F., Ravuri, S., Ewalds, T., Eaton-Rosen, Z., Hu, W., et al. (2023) · Science

Meteorological Phenomena and SimulationsHydrological Forecasting Using AI

Cited by 1,466

A clinically applicable approach to continuous prediction of future acute kidney injury

Tomašev, N., Glorot, X., Rae, J. W., Zielinski, M., Askham, H., Saraiva, A., Mottram, A., Meyer, C., Ravuri, S., Protsyuk, I., et al. (2019) · Nature

Machine Learning in HealthcareAcute Kidney Injury Research

Cited by 1,086

Skilful precipitation nowcasting using deep generative models of radar

Ravuri, S., Lenc, K., Willson, M., Kangin, D., Lam, R., Mirowski, P., Fitzsimons, M., Athanassiadou, M., Kashem, S., Madge, S., et al. (2021) · Nature

Precipitation Measurement and AnalysisMeteorological Phenomena and Simulations

Cited by 1,024

Decolonial AI: Decolonial Theory as Sociotechnical Foresight in Artificial Intelligence

Mohamed, S., Png, M.-T., & Isaac, W. (2020) · Philosophy & Technology

Ethics and Social Impacts of AIDecolonial Thought and Epistemologies

Cited by 912

Probabilistic weather forecasting with machine learning

Price, I., Sanchez-Gonzalez, A., Alet, F., Andersson, T. R., El-Kadi, A., Masters, D., Ewalds, T., Stott, J., Mohamed, S., Battaglia, P., et al. (2025) · Nature

Meteorological Phenomena and SimulationsHydrological Forecasting Using AI

Cited by 434

Ai for social good: unlocking the opportunity for positive impact

Tomašev, N., Cornebise, J., Hutter, F., Mohamed, S., Picciariello, A., Connelly, B., Belgrave, D. C. M., Ezer, D., Haert, F. C. V. D., Mugisha, F., et al. (2020) · Nature Communications

Ethics and Social Impacts of AIArtificial Intelligence Applications

Cited by 357

Power to the People? Opportunities and Challenges for Participatory AI

Birhane, A., Isaac, W., Prabhakaran, V., Diaz, M., Elish, M. C., Gabriel, I., & Mohamed, S. (2022) · Equity and Access in Algorithms Mechanisms and Optimization

Ethics and Social Impacts of AIExplainable Artificial Intelligence (XAI)

Cited by 330

The Cramer Distance as a Solution to Biased Wasserstein Gradients

Bellemare, M. G., Danihelka, I., Dabney, W., Mohamed, S., Lakshminarayanan, B., Hoyer, S., & Munos, R. (2017) · arXiv

Generative Adversarial Networks and Image SynthesisGeometric Analysis and Curvature Flows

Cited by 223

GraphCast: Learning skillful medium-range global weather forecasting

Lam, R., Sanchez-Gonzalez, A., Willson, M., Wirnsberger, P., Fortunato, M., Alet, F., Ravuri, S., Ewalds, T., Eaton-Rosen, Z., Hu, W., et al. (2022) · arXiv

Meteorological Phenomena and SimulationsHydrological Forecasting Using AI

Cited by 154

Epistemic Injustice in Generative AI

Kay, J., Kasirzadeh, A., & Mohamed, S. (2024) · Proceedings of the AAAI/ACM Conference on AI, Ethics, and Society

Ethics and Social Impacts of AIFeminist Epistemology and Gender Studies

Cited by 76

Epistemic Injustice in Generative AI

Kay, J., Kasirzadeh, A., & Mohamed, S. (2024) · arXiv

Ethics and Social Impacts of AIFeminist Epistemology and Gender Studies

Cited by 76

STELA: a community-centred approach to norm elicitation for AI alignment

Bergman, S., Marchal, N., Mellor, J., Mohamed, S., Gabriel, I., & Isaac, W. (2024) · Scientific Reports

Ethics and Social Impacts of AIExplainable Artificial Intelligence (XAI)

Cited by 48

A Robot Walks into a Bar: Can Language Models Serve as Creativity SupportTools for Comedy? An Evaluation of LLMs’ Humour Alignment with Comedians

Mirowski, P., Love, J., Mathewson, K., & Mohamed, S. (2024) · The 2024 ACM Conference on Fairness Accountability and Transparency

Ethics and Social Impacts of AIHumor Studies and Applications

Cited by 37

Towards Responsible Development of Generative AI for Education: An Evaluation-Driven Approach

Jurenka, I., Kunesch, M., McKee, K. R., Gillick, D., Zhu, S., Wiltberger, S., Phal, S. M., Hermann, K., Kasenberg, D., Bhoopchand, A., et al. (2024) · arXiv

Artificial Intelligence in EducationIntelligent Tutoring Systems and Adaptive Learning

Cited by 24

LearnLM: Improving Gemini for Learning

LearnLM Team, Modi, A., Veerubhotla, A. S., Rysbek, A., Huber, A., Wiltshire, B., Veprek, B., Gillick, D., Kasenberg, D., Ahmed, D., et al. (2024) · arXiv

Intelligent Tutoring Systems and Adaptive LearningArtificial Intelligence in Education

Cited by 4

Developing Deep Learning Continuous Risk Models for Early Adverse Event Prediction in Electronic Health Records: an AKI Case Study

Tomašev, N., Glorot, X., Rae, J. W., Zielinski, M., Askham, H., Saraiva, A., Mottram, A., Meyer, C., Ravuri, S., Protsyuk, I., et al. (2019) · Research Square

Machine Learning in HealthcareAcute Kidney Injury Research

Cited by 3

Evaluating Gemini in an arena for learning

LearnLM Team, Modi, A., Veerubhotla, A. S., Rysbek, A., Huber, A., Anand, A., Bhoopchand, A., Wiltshire, B., Gillick, D., Kasenberg, D., et al. (2025) · arXiv

Artificial Intelligence in EducationIntelligent Tutoring Systems and Adaptive Learning

Cited by 0