Cultural Bias in Explainable AI Research: A Systematic Analysis | Journal of Artificial Intelligence Research
Language Models Can Reduce Asymmetry in Information Markets
Avery, J. J., Abril, P. S., & del Riego, A. ChatGPT, Esq.: Recasting Unauthorized Practice of Law in the Era of Generative AI. Yale Journal of Law & Technology, 26(1).
Standardized nomenclature for litigational legal prompting in generative language models
Scientific Educations Among U.S. Judges
Modeling interconnected social and technical risks in open source software ecosystems - William Schueller, Johannes Wachs, 2024
Grady Booch on Twitter / X
Monitoring AI-Modified Content at Scale: A Case Study on the Impact of ChatGPT on AI Conference Peer Reviews
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Chewing Gum Is Associated with Better Diet Quality but Not Oral Health Measures in U.S. Adults
MM1: Methods, Analysis & Insights from Multimodal LLM Pre-training
Investigating Continual Pretraining in Large Language Models: Insights and Implications
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AutoEval Done Right: Using Synthetic Data for Model Evaluation
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Data Interpreter: An LLM Agent For Data Science
Simultaneous and Heterogenous Multithreading | Proceedings of the 56th Annual IEEE/ACM International Symposium on Microarchitecture
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🥇Top ML Papers of the Week
Rosen, D., Oh, Y., Chesebrough, C., Zhang, F. Z., & Kounios, J. (2024). Creative flow as optimized processing: Evidence from brain oscillations during jazz improvisations by expert and non-expert musicians. Neuropsychologia, 108824.
Social media jurors conceptualizing and analyzing online public engagement in reference to legal cases
(Political candidates that admit to some criticisms may simultaneously attempt to link the opposition to perceived worse ones, e.g. both leading considered aged but showing different effects.)
Pan, C. A., Yakhmi, S., Iyer, T. P., Strasnick, E., Zhang, A. X., & Bernstein, M. S. (2022). Comparing the perceived legitimacy of content moderation processes: Contractors, algorithms, expert panels, and digital juries. Proceedings of the ACM on Human-Computer Interaction, 6(CSCW1), 1-31.
Digital juries.
Gordon, M. L., Lam, M. S., Park, J. S., Patel, K., Hancock, J., Hashimoto, T., & Bernstein, M. S. (2022, April). Jury learning: Integrating dissenting voices into machine learning models. In Proceedings of the 2022 CHI Conference on Human Factors in Computing Systems (pp. 1-19).
(How is a juror instructed to eliminate implicit bias? What would be the specifics of a course that changed their minds? This is fairly easy to trigger in practice, e.g. as subtext to invoke irony.)
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OSF Preprints
Ferreira, R., & Vardi, M. Y. (2021, March). Deep tech ethics: An approach to teaching social justice in computer science. In Proceedings of the 52nd ACM Technical Symposium on Computer Science Education (pp. 1041-1047).
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🥇Top ML Papers of the Week
Aya Model: An Instruction Finetuned Open-Access Multilingual Language Model
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Functional Benchmarks for Robust Evaluation of Reasoning Performance, and the Reasoning Gap
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ComPromptMized
A generic noninvasive neuromotor interface for human-computer interaction
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Adapted Large Language Models Can Outperform Medical Experts in Clinical Text Summarization
Recently published in Nature, https://www.nature.com/articles/s41591-024-02855-5
Genie: Generative Interactive Environments