Difference between revisions of "AI and Humans"

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* 2023-10: [https://www.insidehighered.com/news/tech-innovation/artificial-intelligence/2023/10/31/most-students-outrunning-faculty-ai-use?utm_source=Inside+Higher+Ed&utm_campaign=23419446b9-DNU_2021_COPY_02&utm_medium=email&utm_term=0_1fcbc04421-23419446b9-236889242&mc_cid=23419446b9&mc_eid=dae49d931a Survey] shows students using AI more than professors.
 
* 2023-10: [https://www.insidehighered.com/news/tech-innovation/artificial-intelligence/2023/10/31/most-students-outrunning-faculty-ai-use?utm_source=Inside+Higher+Ed&utm_campaign=23419446b9-DNU_2021_COPY_02&utm_medium=email&utm_term=0_1fcbc04421-23419446b9-236889242&mc_cid=23419446b9&mc_eid=dae49d931a Survey] shows students using AI more than professors.
 
* 2023-11: [https://www.nature.com/articles/d41586-023-03507-3 ChatGPT has entered the classroom: how LLMs could transform education]
 
* 2023-11: [https://www.nature.com/articles/d41586-023-03507-3 ChatGPT has entered the classroom: how LLMs could transform education]
 +
* 2025-04: [https://www.anthropic.com/news/anthropic-education-report-how-university-students-use-claude Anthropic Education Report: How University Students Use Claude]
  
 
==AI improves learning/education==
 
==AI improves learning/education==
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* 2024-09: PaperQA2: [https://paper.wikicrow.ai/ Language Models Achieve Superhuman Synthesis of Scientific Knowledge] ([https://x.com/SGRodriques/status/1833908643856818443 𝕏 post], [https://github.com/Future-House/paper-qa code])
 
* 2024-09: PaperQA2: [https://paper.wikicrow.ai/ Language Models Achieve Superhuman Synthesis of Scientific Knowledge] ([https://x.com/SGRodriques/status/1833908643856818443 𝕏 post], [https://github.com/Future-House/paper-qa code])
 
* 2025-03: [https://arxiv.org/abs/2503.19065 WikiAutoGen: Towards Multi-Modal Wikipedia-Style Article Generation]
 
* 2025-03: [https://arxiv.org/abs/2503.19065 WikiAutoGen: Towards Multi-Modal Wikipedia-Style Article Generation]
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* 2025-03: [https://arxiv.org/abs/2503.22828 Learning to Reason for Long-Form Story Generation]
  
 
==AI out-performs humans==
 
==AI out-performs humans==
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* 2024-11: [https://doi.org/10.1038/s41598-024-76900-1 AI-generated poetry is indistinguishable from human-written poetry and is rated more favorably]
 
* 2024-11: [https://doi.org/10.1038/s41598-024-76900-1 AI-generated poetry is indistinguishable from human-written poetry and is rated more favorably]
 
* 2024-11: [https://www.astralcodexten.com/p/how-did-you-do-on-the-ai-art-turing How Did You Do On The AI Art Turing Test?]
 
* 2024-11: [https://www.astralcodexten.com/p/how-did-you-do-on-the-ai-art-turing How Did You Do On The AI Art Turing Test?]
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===Marketing===
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* 2023-11: [https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4597899 The power of generative marketing: Can generative AI create superhuman visual marketing content?]
  
 
===Professions===
 
===Professions===
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* 2024-12: [https://www.arxiv.org/abs/2412.10849 Superhuman performance of a large language model on the reasoning tasks of a physician]
 
* 2024-12: [https://www.arxiv.org/abs/2412.10849 Superhuman performance of a large language model on the reasoning tasks of a physician]
 
* 2024-12: [https://arxiv.org/abs/2412.18925 HuatuoGPT-o1, Towards Medical Complex Reasoning with LLMs]
 
* 2024-12: [https://arxiv.org/abs/2412.18925 HuatuoGPT-o1, Towards Medical Complex Reasoning with LLMs]
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* 2025-02: Media:
 +
** NY Times: [https://www.nytimes.com/2025/02/02/opinion/ai-doctors-medicine.html The Robot Doctor Will See You Now]
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** [https://erictopol.substack.com/p/when-doctors-with-ai-are-outperformed When Doctors With A.I. Are Outperformed by A.I. Alone]
 
* 2025-02: [https://www.nature.com/articles/s41591-024-03456-y GPT-4 assistance for improvement of physician performance on patient care tasks: a randomized controlled trial]
 
* 2025-02: [https://www.nature.com/articles/s41591-024-03456-y GPT-4 assistance for improvement of physician performance on patient care tasks: a randomized controlled trial]
 
* 2025-02: [https://www.nature.com/articles/s41591-025-03517-w Artificial intelligence for individualized treatment of persistent atrial fibrillation: a randomized controlled trial]
 
* 2025-02: [https://www.nature.com/articles/s41591-025-03517-w Artificial intelligence for individualized treatment of persistent atrial fibrillation: a randomized controlled trial]
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* 2025-03: [https://arxiv.org/abs/2503.13939 Med-R1: Reinforcement Learning for Generalizable Medical Reasoning in Vision-Language Models]
 
* 2025-03: [https://arxiv.org/abs/2503.13939 Med-R1: Reinforcement Learning for Generalizable Medical Reasoning in Vision-Language Models]
 
* 2025-04: [https://www.acpjournals.org/doi/10.7326/ANNALS-24-03283 Comparison of Initial Artificial Intelligence (AI) and Final Physician Recommendations in AI-Assisted Virtual Urgent Care Visits]
 
* 2025-04: [https://www.acpjournals.org/doi/10.7326/ANNALS-24-03283 Comparison of Initial Artificial Intelligence (AI) and Final Physician Recommendations in AI-Assisted Virtual Urgent Care Visits]
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* 2025-04: [https://www.nature.com/articles/s41586-025-08866-7?linkId=13898052 Towards conversational diagnostic artificial intelligence]
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* 2025-04: [https://www.nature.com/articles/s41586-025-08869-4?linkId=13898054 Towards accurate differential diagnosis with large language models]
  
 
====Therapy====
 
====Therapy====
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===Translation===
 
===Translation===
 
* 2025-01: [https://simonwillison.net/2025/Feb/2/workflow-for-translation/ A professional workflow for translation using LLMs] ([https://news.ycombinator.com/item?id=42897856 based on this])
 
* 2025-01: [https://simonwillison.net/2025/Feb/2/workflow-for-translation/ A professional workflow for translation using LLMs] ([https://news.ycombinator.com/item?id=42897856 based on this])
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 +
===Customer service===
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* 2023-11: [https://www.nber.org/papers/w31161 Generative AI at Work]: Improvements for workers and clients (though also a ceiling to improvement)
  
 
===Creativity===
 
===Creativity===
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* 2024-07: [https://arxiv.org/abs/2407.19096 AI Companions Reduce Loneliness]
 
* 2024-07: [https://arxiv.org/abs/2407.19096 AI Companions Reduce Loneliness]
 
* 2025-03: [https://dam-prod2.media.mit.edu/x/2025/03/21/Randomized_Control_Study_on_Chatbot_Psychosocial_Effect.pdf How AI and Human Behaviors Shape Psychosocial Effects of Chatbot Use: A Longitudinal Controlled Study]
 
* 2025-03: [https://dam-prod2.media.mit.edu/x/2025/03/21/Randomized_Control_Study_on_Chatbot_Psychosocial_Effect.pdf How AI and Human Behaviors Shape Psychosocial Effects of Chatbot Use: A Longitudinal Controlled Study]
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==AI worse than humans==
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* 2025-04: [https://spinup-000d1a-wp-offload-media.s3.amazonaws.com/faculty/wp-content/uploads/sites/27/2025/03/AI-debt-collection-20250331.pdf How Good is AI at Twisting Arms? Experiments in Debt Collection]
  
 
==Human Perceptions of AI==
 
==Human Perceptions of AI==
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==Usage For==
 
==Usage For==
 
* 2024-12: [https://assets.anthropic.com/m/7e1ab885d1b24176/original/Clio-Privacy-Preserving-Insights-into-Real-World-AI-Use.pdf Clio: A system for privacy-preserving insights into real-world AI use] (Anthropic [https://www.anthropic.com/research/clio Clio])
 
* 2024-12: [https://assets.anthropic.com/m/7e1ab885d1b24176/original/Clio-Privacy-Preserving-Insights-into-Real-World-AI-Use.pdf Clio: A system for privacy-preserving insights into real-world AI use] (Anthropic [https://www.anthropic.com/research/clio Clio])
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* 2025-03: [https://learn.filtered.com/hubfs/The%202025%20Top-100%20Gen%20AI%20Use%20Case%20Report.pdf How People are Really Using Generative AI Now] ([https://hbr.org/2025/04/how-people-are-really-using-gen-ai-in-2025 writeup])
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* 2025-04: [https://www.anthropic.com/news/anthropic-education-report-how-university-students-use-claude Anthropic Education Report: How University Students Use Claude]
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=Sentiment=
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* 2025-04: Pew Research: [https://www.pewresearch.org/internet/2025/04/03/how-the-us-public-and-ai-experts-view-artificial-intelligence/ How the U.S. Public and AI Experts View Artificial Intelligence]
  
 
=Persuasion=
 
=Persuasion=
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* 2024-09: [https://www.science.org/doi/10.1126/science.adq1814 Durably reducing conspiracy beliefs through dialogues with AI]
 
* 2024-09: [https://www.science.org/doi/10.1126/science.adq1814 Durably reducing conspiracy beliefs through dialogues with AI]
 
* 2025-03: [https://www.pnas.org/doi/10.1073/pnas.2413443122 Scaling language model size yields diminishing returns for single-message political persuasion]
 
* 2025-03: [https://www.pnas.org/doi/10.1073/pnas.2413443122 Scaling language model size yields diminishing returns for single-message political persuasion]
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=Simulate Humans=
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* See also: [[Human brain]]
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* 2021-10: [https://www.doi.org/10.1007/s10588-021-09351-y Explaining and predicting human behavior and social dynamics in simulated virtual worlds: reproducibility, generalizability, and robustness of causal discovery methods]
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* 2023-12: Google: [https://arxiv.org/abs/2312.03664 Generative agent-based modeling with actions grounded in physical, social, or digital space using Concordia]
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* 2024-02: [https://arxiv.org/abs/2402.12620 Are Large Language Models (LLMs) Good Social Predictors?]
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* 2024-04: [https://arxiv.org/abs/2404.11794 Automated Social Science: Language Models as Scientist and Subjects]
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* 2024-07: [https://academic.oup.com/pnasnexus/article/3/7/pgae245/7712371 Perils and opportunities in using large language models in psychological research]
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* 2024-08: [https://samim.io/dl/Predicting%20results%20of%20social%20science%20experiments%20using%20large%20language%20models.pdf Predicting Results of Social Science Experiments Using Large Language Models]
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* 2024-10: [https://www.pnas.org/doi/10.1073/pnas.2407639121 Large Language Models based on historical text could offer informative tools for behavioral science]
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* 2025-04: [https://arxiv.org/abs/2504.02234 LLM Social Simulations Are a Promising Research Method]
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* 2025-04: [https://www.nber.org/papers/w33662 Measuring Human Leadership Skills with AI Agents]
  
 
=See Also=
 
=See Also=
 
* [https://www.google.com/books/edition/_/cKnYEAAAQBAJ?hl=en&gbpv=1&pg=PA2 UNESCO. Guidance for Generative AI in Education and Research]
 
* [https://www.google.com/books/edition/_/cKnYEAAAQBAJ?hl=en&gbpv=1&pg=PA2 UNESCO. Guidance for Generative AI in Education and Research]
 
* [[AI]]
 
* [[AI]]

Latest revision as of 18:49, 11 April 2025

AI in Education

Survey/study of

AI improves learning/education

AI harms learning

Software/systems

LLMs

Individual tools

Systems

AI for grading

Detection

AI Text Detectors Don't Work

AI/human

Capabilities

Writing

AI out-performs humans

Tests

Creativity

Art

Marketing

Professions

  • Humanity's Last Exam
    • Effort to build a dataset of challenging (but resolvable) questions in specific domain areas, to act as a benchmark to test whether AIs are improving in these challenging topics.

Medical

Therapy

Financial

AI improves human work

Coding

Forecasting

Finance

Law

Medical

Translation

Customer service

  • 2023-11: Generative AI at Work: Improvements for workers and clients (though also a ceiling to improvement)

Creativity

Equity

Counter loneliness

AI worse than humans

Human Perceptions of AI

AI passes Turing Test

Text Dialog

Art

Psychological Effects of AI Usage

Uptake

Usage For

Sentiment

Persuasion

(AI can update beliefs, change opinions, tackle conspiracy theories, etc.)

Simulate Humans

See Also

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