Difference between revisions of "AI and Humans"

From GISAXS
Jump to: navigation, search
(→‎AI improves human work)
(→‎Medical)
 
(6 intermediate revisions by the same user not shown)
Line 57: Line 57:
  
 
=AI/human=
 
=AI/human=
 +
==Capabilities==
 +
===Writing===
 +
 +
* 2022-12: [https://aclanthology.org/2022.emnlp-main.296/ Re3: Generating Longer Stories With Recursive Reprompting and Revision]
 +
* 2023-03: English essays: [https://journal.unnes.ac.id/sju/index.php/elt/article/view/64069 Artificial intelligence (AI) technology in OpenAI ChatGPT application: A review of ChatGPT in writing English essay]
 +
* 2023-01: Journalism: [https://journals.sagepub.com/doi/10.1177/10776958221149577 Collaborating With ChatGPT: Considering the Implications of Generative Artificial Intelligence for Journalism and Media Education]
 +
* 2023-07: Science writing: [https://www.rbmojournal.com/article/S1472-6483(23)00219-5/fulltext Artificial intelligence in scientific writing: a friend or a foe?]
 +
* 2024-02: Wikipedia style: [https://arxiv.org/abs/2402.14207 Assisting in Writing Wikipedia-like Articles From Scratch with Large Language Models]
 +
* 2024-02: [https://arxiv.org/abs/2408.07055 LongWriter: Unleashing 10,000+ Word Generation from Long Context LLMs] ([https://github.com/THUDM/LongWriter code])
 +
* 2024-08: Scientific papers: [The AI Scientist: Towards Fully Automated Open-Ended Scientific Discovery]
 +
* 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]
 +
 
==AI out-performs humans==
 
==AI out-performs humans==
 
===Tests===
 
===Tests===
Line 98: Line 111:
 
** 2024-01: [https://arxiv.org/abs/2401.05654 Towards Conversational Diagnostic AI] ([https://research.google/blog/amie-a-research-ai-system-for-diagnostic-medical-reasoning-and-conversations/ blog]: Articulate Medical Intelligence Explorer, AMIE)
 
** 2024-01: [https://arxiv.org/abs/2401.05654 Towards Conversational Diagnostic AI] ([https://research.google/blog/amie-a-research-ai-system-for-diagnostic-medical-reasoning-and-conversations/ blog]: Articulate Medical Intelligence Explorer, AMIE)
 
** 2025-03: [https://www.gstatic.com/amie/towards_conversational_ai_for_disease_management.pdf Towards Conversational AI for Disease Management] ([https://research.google/blog/from-diagnosis-to-treatment-advancing-amie-for-longitudinal-disease-management/ blog])
 
** 2025-03: [https://www.gstatic.com/amie/towards_conversational_ai_for_disease_management.pdf Towards Conversational AI for Disease Management] ([https://research.google/blog/from-diagnosis-to-treatment-advancing-amie-for-longitudinal-disease-management/ blog])
 +
* 2025-02: [https://arxiv.org/abs/2502.19655 Med-RLVR: Emerging Medical Reasoning from a 3B base model via reinforcement Learning]
 
* 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]
  
Line 113: Line 127:
 
* 2023-12: [https://arxiv.org/abs/2312.05481 Artificial Intelligence in the Knowledge Economy]: Non-autonomous AI (chatbot) benefits least knowledgeable workers; autonomous agents benefit the most knowledgeable workers
 
* 2023-12: [https://arxiv.org/abs/2312.05481 Artificial Intelligence in the Knowledge Economy]: Non-autonomous AI (chatbot) benefits least knowledgeable workers; autonomous agents benefit the most knowledgeable workers
 
* 2024-07: [https://www.microsoft.com/en-us/research/publication/generative-ai-in-real-world-workplaces/ Generative AI in Real-World Workplaces: The Second Microsoft Report on AI and Productivity Research]
 
* 2024-07: [https://www.microsoft.com/en-us/research/publication/generative-ai-in-real-world-workplaces/ Generative AI in Real-World Workplaces: The Second Microsoft Report on AI and Productivity Research]
−
* 2025-03: Ethan Mollick: [https://www.oneusefulthing.org/p/the-cybernetic-teammateThe Cybernetic Teammate]: Having an AI on your team can increase performance, provide expertise, and improve your experience
+
* 2025-03: [https://papers.ssrn.com/sol3/papers.cfm?abstract_id=5188231 The Cybernetic Teammate: A Field Experiment on Generative AI Reshaping Teamwork and Expertise]
−
 
+
** 2025-03: Ethan Mollick: [https://www.oneusefulthing.org/p/the-cybernetic-teammateThe Cybernetic Teammate]: Having an AI on your team can increase performance, provide expertise, and improve your experience
  
 
===Coding===
 
===Coding===
Line 155: Line 169:
 
* 2023-09: [https://www.nature.com/articles/d41586-023-02980-0 AI and science: what 1,600 researchers think. A Nature survey finds that scientists are concerned, as well as excited, by the increasing use of artificial-intelligence tools in research.]
 
* 2023-09: [https://www.nature.com/articles/d41586-023-02980-0 AI and science: what 1,600 researchers think. A Nature survey finds that scientists are concerned, as well as excited, by the increasing use of artificial-intelligence tools in research.]
 
* 2024-11: [https://doi.org/10.1016/S2589-7500(24)00202-4 Attitudes and perceptions of medical researchers towards the use of artificial intelligence chatbots in the scientific process: an international cross-sectional survey] (Nature commentary: [https://www.nature.com/articles/s41592-024-02369-5 Quest for AI literacy])
 
* 2024-11: [https://doi.org/10.1016/S2589-7500(24)00202-4 Attitudes and perceptions of medical researchers towards the use of artificial intelligence chatbots in the scientific process: an international cross-sectional survey] (Nature commentary: [https://www.nature.com/articles/s41592-024-02369-5 Quest for AI literacy])
 +
* 2025-03: [https://www.arxiv.org/abs/2503.16458 Users Favor LLM-Generated Content -- Until They Know It's AI]
  
 
===AI passes Turing Test===
 
===AI passes Turing Test===
Line 167: Line 182:
  
 
==Psychological Effects of AI Usage==
 
==Psychological Effects of AI Usage==
 +
* 2025-03: [https://cdn.openai.com/papers/15987609-5f71-433c-9972-e91131f399a1/openai-affective-use-study.pdf Investigating Affective Use and Emotional Well-being on ChatGPT]
 
* 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]
  
Line 179: Line 195:
 
** 72% of leaders use genAI at least once a week (c.f. 23% in 2023); 90% agree AI enhances skills (c.f. 80% in 2023)
 
** 72% of leaders use genAI at least once a week (c.f. 23% in 2023); 90% agree AI enhances skills (c.f. 80% in 2023)
 
** Spending on genAI is up 130% (most companies plan to invest going forward)
 
** Spending on genAI is up 130% (most companies plan to invest going forward)
 +
* 2024-12: [https://www.pnas.org/doi/10.1073/pnas.2414972121 The unequal adoption of ChatGPT exacerbates existing inequalities among workers]
 +
** Higher adoption among young and less experienced
 +
** Lower adoption among women and lower-earning workers
 
* 2025-02: [https://arxiv.org/abs/2502.09747 The Widespread Adoption of Large Language Model-Assisted Writing Across Society]: 10-25% adoption across a range of contexts
 
* 2025-02: [https://arxiv.org/abs/2502.09747 The Widespread Adoption of Large Language Model-Assisted Writing Across Society]: 10-25% adoption across a range of contexts
 
* 2025-02: [https://papers.ssrn.com/sol3/papers.cfm?abstract_id=5078805 Local Heterogeneity in Artificial Intelligence Jobs Over Time and Space]
 
* 2025-02: [https://papers.ssrn.com/sol3/papers.cfm?abstract_id=5078805 Local Heterogeneity in Artificial Intelligence Jobs Over Time and Space]

Latest revision as of 13:34, 28 March 2025

AI in Education

Survey/study of

AI improves learning/education

AI harms learning

Software/systems

LLMs

Individual tools

AI for grading

Detection

AI Text Detectors Don't Work

AI/human

Capabilities

Writing

AI out-performs humans

Tests

Creativity

Art

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

Creativity

Equity

Counter loneliness

Human Perceptions of AI

AI passes Turing Test

Text Dialog

Art

Psychological Effects of AI Usage

Uptake

Usage For

Persuasion

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

See Also

Retrieved from "http://gisaxs.com/index.php?title=AI_and_Humans&oldid=7376"