Burden, John

Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models

Srivastava, A., Rastogi, A., Rao, A., Shoeb, A. A. M., Abid, A., Fisch, A., Brown, A. R., Santoro, A., Gupta, A., Garriga-Alonso, A., et al. (2022) · arXiv

Topic ModelingNatural Language Processing Techniques

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Harms from Increasingly Agentic Algorithmic Systems

Chan, A., Salganik, R., Markelius, A., Pang, C., Rajkumar, N., Krasheninnikov, D., Langosco, L., He, Z., Duan, Y., Carroll, M., et al. (2023) · 2023 ACM Conference on Fairness Accountability and Transparency

Ethics and Social Impacts of AIExplainable Artificial Intelligence (XAI)

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Rethink reporting of evaluation results in AI

Burnell, R., Schellaert, W., Burden, J., Ullman, T. D., Martinez-Plumed, F., Tenenbaum, J. B., Rutar, D., Cheke, L. G., Sohl-Dickstein, J., Mitchell, M., et al. (2023) · Science

Ethics and Social Impacts of AIScientific Computing and Data Management

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Your Prompt is My Command: On Assessing the Human-Centred Generality of Multimodal Models

Schellaert, W., Martínez-Plumed, F., Vold, K., Burden, J., A. M. Casares, P., Sheng Loe, B., Reichart, R., Ó hÉigeartaigh, S., Korhonen, A., & Hernández-Orallo, J. (2023) · Journal of Artificial Intelligence Research

Multimodal Machine Learning ApplicationsArtificial Intelligence Applications

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