Crabtree, G. Self-driving laboratories coming of age. Joule 4, 25382541 (2020).
Article CAS Google Scholar
Wang, H. et al. Scientific discovery in the age of artificial intelligence. Nature 620, 4760 (2023). This review explores how AI can be incorporated across the research pipeline, drawing from a wide range of scientific disciplines.
Article CAS PubMed Google Scholar
Dillion, D., Tandon, N., Gu, Y. & Gray, K. Can AI language models replace human participants? Trends Cogn. Sci. 27, 597600 (2023).
Article PubMed Google Scholar
Grossmann, I. et al. AI and the transformation of social science research. Science 380, 11081109 (2023). This forward-looking article proposes a variety of ways to incorporate generative AI into social-sciences research.
Article CAS PubMed Google Scholar
Gil, Y. Will AI write scientific papers in the future? AI Mag. 42, 315 (2022).
Google Scholar
Kitano, H. Nobel Turing Challenge: creating the engine for scientific discovery. npj Syst. Biol. Appl. 7, 29 (2021).
Article PubMed PubMed Central Google Scholar
Benjamin, R. Race After Technology: Abolitionist Tools for the New Jim Code (Oxford Univ. Press, 2020). This book examines how social norms about race become embedded in technologies, even those that are focused on providing good societal outcomes.
Broussard, M. More Than a Glitch: Confronting Race, Gender, and Ability Bias in Tech (MIT Press, 2023).
Noble, S. U. Algorithms of Oppression: How Search Engines Reinforce Racism (New York Univ. Press, 2018).
Bender, E. M., Gebru, T., McMillan-Major, A. & Shmitchell, S. On the dangers of stochastic parrots: can language models be too big? in Proc. 2021 ACM Conference on Fairness, Accountability, and Transparency 610623 (Association for Computing Machinery, 2021). One of the first comprehensive critiques of large language models, this article draws attention to a host of issues that ought to be considered before taking up such tools.
Crawford, K. Atlas of AI: Power, Politics, and the Planetary Costs of Artificial Intelligence (Yale Univ. Press, 2021).
Johnson, D. G. & Verdicchio, M. Reframing AI discourse. Minds Mach. 27, 575590 (2017).
Article Google Scholar
Atanasoski, N. & Vora, K. Surrogate Humanity: Race, Robots, and the Politics of Technological Futures (Duke Univ. Press, 2019).
Mitchell, M. & Krakauer, D. C. The debate over understanding in AIs large language models. Proc. Natl Acad. Sci. USA 120, e2215907120 (2023).
Article PubMed PubMed Central Google Scholar
Kidd, C. & Birhane, A. How AI can distort human beliefs. Science 380, 12221223 (2023).
Article CAS PubMed Google Scholar
Birhane, A., Kasirzadeh, A., Leslie, D. & Wachter, S. Science in the age of large language models. Nat. Rev. Phys. 5, 277280 (2023).
Article Google Scholar
Kapoor, S. & Narayanan, A. Leakage and the reproducibility crisis in machine-learning-based science. Patterns 4, 100804 (2023).
Article PubMed PubMed Central Google Scholar
Hullman, J., Kapoor, S., Nanayakkara, P., Gelman, A. & Narayanan, A. The worst of both worlds: a comparative analysis of errors in learning from data in psychology and machine learning. In Proc. 2022 AAAI/ACM Conference on AI, Ethics, and Society (eds Conitzer, V. et al.) 335348 (Association for Computing Machinery, 2022).
Rudin, C. Stop explaining black box machine learning models for high stakes decisions and use interpretable models instead. Nat. Mach. Intell. 1, 206215 (2019). This paper articulates the problems with attempting to explain AI systems that lack interpretability, and advocates for building interpretable models instead.
Article PubMed PubMed Central Google Scholar
Crockett, M. J., Bai, X., Kapoor, S., Messeri, L. & Narayanan, A. The limitations of machine learning models for predicting scientific replicability. Proc. Natl Acad. Sci. USA 120, e2307596120 (2023).
Article CAS PubMed PubMed Central Google Scholar
Lazar, S. & Nelson, A. AI safety on whose terms? Science 381, 138 (2023).
Article PubMed Google Scholar
Collingridge, D. The Social Control of Technology (St Martins Press, 1980).
Wagner, G., Lukyanenko, R. & Par, G. Artificial intelligence and the conduct of literature reviews. J. Inf. Technol. 37, 209226 (2022).
Article Google Scholar
Hutson, M. Artificial-intelligence tools aim to tame the coronavirus literature. Nature https://doi.org/10.1038/d41586-020-01733-7 (2020).
Article PubMed Google Scholar
Haas, Q. et al. Utilizing artificial intelligence to manage COVID-19 scientific evidence torrent with Risklick AI: a critical tool for pharmacology and therapy development. Pharmacology 106, 244253 (2021).
Article CAS PubMed Google Scholar
Mller, H., Pachnanda, S., Pahl, F. & Rosenqvist, C. The application of artificial intelligence on different types of literature reviews a comparative study. In 2022 International Conference on Applied Artificial Intelligence (ICAPAI) https://doi.org/10.1109/ICAPAI55158.2022.9801564 (Institute of Electrical and Electronics Engineers, 2022).
van Dinter, R., Tekinerdogan, B. & Catal, C. Automation of systematic literature reviews: a systematic literature review. Inf. Softw. Technol. 136, 106589 (2021).
Article Google Scholar
Aydn, . & Karaarslan, E. OpenAI ChatGPT generated literature review: digital twin in healthcare. In Emerging Computer Technologies 2 (ed. Aydn, .) 2231 (zmir Akademi Dernegi, 2022).
AlQuraishi, M. AlphaFold at CASP13. Bioinformatics 35, 48624865 (2019).
Article CAS PubMed PubMed Central Google Scholar
Jumper, J. et al. Highly accurate protein structure prediction with AlphaFold. Nature 596, 583589 (2021).
Article CAS PubMed PubMed Central Google Scholar
Lee, J. S., Kim, J. & Kim, P. M. Score-based generative modeling for de novo protein design. Nat. Computat. Sci. 3, 382392 (2023).
Article CAS Google Scholar
Gmez-Bombarelli, R. et al. Design of efficient molecular organic light-emitting diodes by a high-throughput virtual screening and experimental approach. Nat. Mater. 15, 11201127 (2016).
Article PubMed Google Scholar
Krenn, M. et al. On scientific understanding with artificial intelligence. Nat. Rev. Phys. 4, 761769 (2022).
Article PubMed PubMed Central Google Scholar
Extance, A. How AI technology can tame the scientific literature. Nature 561, 273274 (2018).
Article CAS PubMed Google Scholar
Hastings, J. AI for Scientific Discovery (CRC Press, 2023). This book reviews current and future incorporation of AI into the scientific research pipeline.
Ahmed, A. et al. The future of academic publishing. Nat. Hum. Behav. 7, 10211026 (2023).
Article PubMed Google Scholar
Gray, K., Yam, K. C., ZhenAn, A. E., Wilbanks, D. & Waytz, A. The psychology of robots and artificial intelligence. In The Handbook of Social Psychology (eds Gilbert, D. et al.) (in the press).
Argyle, L. P. et al. Out of one, many: using language models to simulate human samples. Polit. Anal. 31, 337351 (2023).
Article Google Scholar
Aher, G., Arriaga, R. I. & Kalai, A. T. Using large language models to simulate multiple humans and replicate human subject studies. In Proc. 40th International Conference on Machine Learning (eds Krause, A. et al.) 337371 (JMLR.org, 2023).
Binz, M. & Schulz, E. Using cognitive psychology to understand GPT-3. Proc. Natl Acad. Sci. USA 120, e2218523120 (2023).
Article CAS PubMed PubMed Central Google Scholar
Ornstein, J. T., Blasingame, E. N. & Truscott, J. S. How to train your stochastic parrot: large language models for political texts. Github, https://joeornstein.github.io/publications/ornstein-blasingame-truscott.pdf (2023).
He, S. et al. Learning to predict the cosmological structure formation. Proc. Natl Acad. Sci. USA 116, 1382513832 (2019).
Article MathSciNet CAS PubMed PubMed Central Google Scholar
Mahmood, F. et al. Deep adversarial training for multi-organ nuclei segmentation in histopathology images. IEEE Trans. Med. Imaging 39, 32573267 (2020).
Article PubMed PubMed Central Google Scholar
Teixeira, B. et al. Generating synthetic X-ray images of a person from the surface geometry. In Proc. IEEE Conference on Computer Vision and Pattern Recognition 90599067 (Institute of Electrical and Electronics Engineers, 2018).
Marouf, M. et al. Realistic in silico generation and augmentation of single-cell RNA-seq data using generative adversarial networks. Nat. Commun. 11, 166 (2020).
Article CAS PubMed PubMed Central Google Scholar
Watts, D. J. A twenty-first century science. Nature 445, 489 (2007).
Article CAS PubMed Google Scholar
boyd, d. & Crawford, K. Critical questions for big data. Inf. Commun. Soc. 15, 662679 (2012). This article assesses the ethical and epistemic implications of scientific and societal moves towards big data and provides a parallel case study for thinking about the risks of artificial intelligence.
Article Google Scholar
Jolly, E. & Chang, L. J. The Flatland fallacy: moving beyond lowdimensional thinking. Top. Cogn. Sci. 11, 433454 (2019).
Article PubMed Google Scholar
Yarkoni, T. & Westfall, J. Choosing prediction over explanation in psychology: lessons from machine learning. Perspect. Psychol. Sci. 12, 11001122 (2017).
Article PubMed PubMed Central Google Scholar
Radivojac, P. et al. A large-scale evaluation of computational protein function prediction. Nat. Methods 10, 221227 (2013).
Article CAS PubMed PubMed Central Google Scholar
Bileschi, M. L. et al. Using deep learning to annotate the protein universe. Nat. Biotechnol. 40, 932937 (2022).
Article CAS PubMed Google Scholar
Barkas, N. et al. Joint analysis of heterogeneous single-cell RNA-seq dataset collections. Nat. Methods 16, 695698 (2019).
Article CAS PubMed PubMed Central Google Scholar
Demszky, D. et al. Using large language models in psychology. Nat. Rev. Psychol. 2, 688701 (2023).
Article Google Scholar
Karjus, A. Machine-assisted mixed methods: augmenting humanities and social sciences with artificial intelligence. Preprint at https://arxiv.org/abs/2309.14379 (2023).
Davies, A. et al. Advancing mathematics by guiding human intuition with AI. Nature 600, 7074 (2021).
Article CAS PubMed PubMed Central Google Scholar
Peterson, J. C., Bourgin, D. D., Agrawal, M., Reichman, D. & Griffiths, T. L. Using large-scale experiments and machine learning to discover theories of human decision-making. Science 372, 12091214 (2021).
Article CAS PubMed Google Scholar
Ilyas, A. et al. Adversarial examples are not bugs, they are features. Preprint at https://doi.org/10.48550/arXiv.1905.02175 (2019)
Semel, B. M. Listening like a computer: attentional tensions and mechanized care in psychiatric digital phenotyping. Sci. Technol. Hum. Values 47, 266290 (2022).
Article Google Scholar
Gil, Y. Thoughtful artificial intelligence: forging a new partnership for data science and scientific discovery. Data Sci. 1, 119129 (2017).
Read this article:
Artificial intelligence and illusions of understanding in scientific research - Nature.com
- Chinese national arrested and charged with stealing AI trade secrets from Google - NPR - March 8th, 2024 [March 8th, 2024]
- President Biden Calls for Ban on AI Voice Impersonations During State of the Union - Variety - March 8th, 2024 [March 8th, 2024]
- Revolutionize Your Business with AWS Generative AI Competency Partners | Amazon Web Services - AWS Blog - March 8th, 2024 [March 8th, 2024]
- Broadcom Expects AI Demand to Help Offset Weakness Elsewhere - Yahoo Finance - March 8th, 2024 [March 8th, 2024]
- Micron Hits Record High With Analysts Calling It an 'Under-Appreciated AI Beneficiary' - Investopedia - March 8th, 2024 [March 8th, 2024]
- The Adams administration quietly hired its first AI czar. Who is he? - City & State New York - March 8th, 2024 [March 8th, 2024]
- AI likely to increase energy use and accelerate climate misinformation report - The Guardian - March 8th, 2024 [March 8th, 2024]
- This Artificial Intelligence (AI) Stock Could Double, and It Is Way Cheaper Than Nvidia - Yahoo Finance - March 8th, 2024 [March 8th, 2024]
- Fake images made to show Trump with Black supporters highlight concerns around AI and elections - The Associated Press - March 8th, 2024 [March 8th, 2024]
- Analysis | House AI task force leaders take long view on regulating the tools - The Washington Post - March 8th, 2024 [March 8th, 2024]
- Don't Give Your Business Data to AI Companies - Dark Reading - March 8th, 2024 [March 8th, 2024]
- NIST, the lab at the center of Bidens AI safety push, is decaying - The Washington Post - March 8th, 2024 [March 8th, 2024]
- Essay | AI is Coming! Tips for Staying Calm and Carrying On - The Wall Street Journal - March 8th, 2024 [March 8th, 2024]
- AI can be easily used to make fake election photos - report - BBC.com - March 8th, 2024 [March 8th, 2024]
- 5 Artificial Intelligence (AI) Stocks That Could Make You a Millionaire - Yahoo Finance - March 8th, 2024 [March 8th, 2024]
- AI could be an extraordinary force for good. So why do our politicians still not have a plan? - The Guardian - March 8th, 2024 [March 8th, 2024]
- Mapping Disease Trajectories from Birth to Death with AI - Neuroscience News - March 8th, 2024 [March 8th, 2024]
- India plans 10,000-GPU sovereign AI supercomputer - The Register - March 8th, 2024 [March 8th, 2024]
- SAP enhances Datasphere and SAC for AI-driven transformation - CIO - March 8th, 2024 [March 8th, 2024]
- Jim Cramer names companies and sectors poised to rally on the AI wave - CNBC - March 8th, 2024 [March 8th, 2024]
- The job applicants shut out by AI: The interviewer sounded like Siri - The Guardian - March 8th, 2024 [March 8th, 2024]
- Microsoft confirms Surface and Windows AI event for March 21st - The Verge - March 8th, 2024 [March 8th, 2024]
- Adobes new Express app brings Firefly AI tools to iOS and Android - The Verge - March 8th, 2024 [March 8th, 2024]
- A Google AI Watched 30,000 Hours of Video GamesNow It Makes Its Own - Singularity Hub - March 8th, 2024 [March 8th, 2024]
- Palantir CEO Karp on TITAN, AI Warfare Technology - Bloomberg - March 8th, 2024 [March 8th, 2024]
- Elliptic Curve Murmurations Found With AI Take Flight - Quanta Magazine - March 8th, 2024 [March 8th, 2024]
- 5 AI Stocks to Buy in March 2024, According to Analysts - TipRanks.com - TipRanks - March 8th, 2024 [March 8th, 2024]
- Wix's new AI chatbot builds websites in seconds based on prompts - The Verge - March 8th, 2024 [March 8th, 2024]
- Amid record high energy demand, America is running out of electricity - The Washington Post - March 8th, 2024 [March 8th, 2024]
- AI Crypto Tokens in 5 Minutes: What to Know and Where to Start - Inc. - February 26th, 2024 [February 26th, 2024]
- 'The Worlds I See' by AI visionary Fei-Fei Li '99 selected as Princeton Pre-read - Princeton University - February 26th, 2024 [February 26th, 2024]
- AI is having a 1995 moment, analyst says - Business Insider - February 26th, 2024 [February 26th, 2024]
- Vatican research group's book outlines AI's 'brave new world' - National Catholic Reporter - February 26th, 2024 [February 26th, 2024]
- Honor's Magic 6 Pro launches internationally with AI-powered eye tracking on the way - The Verge - February 26th, 2024 [February 26th, 2024]
- Google explains Gemini's embarrassing AI pictures of diverse Nazis - The Verge - February 26th, 2024 [February 26th, 2024]
- Google cut a deal with Reddit for AI training data - The Verge - February 26th, 2024 [February 26th, 2024]
- What's the point of Elon Musk's AI company? - The Verge - February 26th, 2024 [February 26th, 2024]
- AI agents like Rabbit aim to book your vacation and order your Uber - NPR - February 26th, 2024 [February 26th, 2024]
- Announcing Microsofts open automation framework to red team generative AI Systems - Microsoft - February 26th, 2024 [February 26th, 2024]
- After Nvidia's latest blowout, here are 20 AI stocks expected to rise as much as 44% - Yahoo Finance - February 26th, 2024 [February 26th, 2024]
- 1 Exceptional AI Chip Stock Investors Need to Know About in 2024 - The Motley Fool - February 26th, 2024 [February 26th, 2024]
- Nvidia briefly hits $2 trillion valuation as AI frenzy grips Wall Street - Reuters - February 26th, 2024 [February 26th, 2024]
- AI Chatbots Can Guess Your Personal Information From What You ... - WIRED - October 18th, 2023 [October 18th, 2023]
- Harvard IT Launches Pilot of AI Sandbox to Enable Walled-Off Use ... - Harvard Crimson - October 18th, 2023 [October 18th, 2023]
- Advancing policing through AI: Insights from the global law ... - Police News - October 18th, 2023 [October 18th, 2023]
- Hochul announces new SUNY, IBM investments in AI - Olean Times Herald - October 18th, 2023 [October 18th, 2023]
- Nvidia's banking on TensorRT to expand its generative AI dominance - The Verge - October 18th, 2023 [October 18th, 2023]
- AI expands from MRFs to vehicles - Plastics Recycling Update - October 18th, 2023 [October 18th, 2023]
- AI Reads Ancient Scroll Charred by Mount Vesuvius in Tech First - Scientific American - October 18th, 2023 [October 18th, 2023]
- A DEEPer (squared) dive into AI Harvard Gazette - Harvard Gazette - October 18th, 2023 [October 18th, 2023]
- Florida bar weighs whether lawyers using AI need client consent - Reuters - October 18th, 2023 [October 18th, 2023]
- Cognizant and Vianai Systems Announce Strategic Partnership to ... - PR Newswire - October 18th, 2023 [October 18th, 2023]
- How AI could speed up scientific discoveries, from proteins to ... - NPR - October 18th, 2023 [October 18th, 2023]
- AI challenge to deliver better healthcare | Western Australian ... - Government of Western Australia - October 18th, 2023 [October 18th, 2023]
- Henry Kissinger: The Path to AI Arms Control - Foreign Affairs Magazine - October 18th, 2023 [October 18th, 2023]
- Stability AI releases StableStudio in latest push for open-source AI - The Verge - May 18th, 2023 [May 18th, 2023]
- Google CEO Sundar Pichai Predicts That This Profession Will Be ... - The Motley Fool - May 18th, 2023 [May 18th, 2023]
- Frances privacy watchdog eyes protection against data scraping in AI action plan - TechCrunch - May 18th, 2023 [May 18th, 2023]
- Investing in Hippocratic AI - Andreessen Horowitz - May 18th, 2023 [May 18th, 2023]
- As Alphabet flexes its AI prowess, there's a 'new elephant in the room' for Google - MarketWatch - May 18th, 2023 [May 18th, 2023]
- The Boring Future of Generative AI | WIRED - WIRED - May 18th, 2023 [May 18th, 2023]
- OpenAI readies new open-source AI model, The Information reports - Reuters.com - May 18th, 2023 [May 18th, 2023]
- What every CEO should know about generative AI - McKinsey - May 18th, 2023 [May 18th, 2023]
- AI creates images of the 'perfect' man and woman - Sky News - May 18th, 2023 [May 18th, 2023]
- Audit AI search tools now, before they skew research - Nature.com - May 18th, 2023 [May 18th, 2023]
- 3 Reasons C3.ai Stock Could Be Your Golden Ticket to the AI ... - InvestorPlace - May 18th, 2023 [May 18th, 2023]
- Zoom makes a big bet on AI with investment in Anthropic - VentureBeat - May 18th, 2023 [May 18th, 2023]
- AI voice phone scams are on the rise. Here's how to avoid them - USA TODAY - May 18th, 2023 [May 18th, 2023]
- Amazon is building an AI-powered conversational experience for ... - The Verge - May 18th, 2023 [May 18th, 2023]
- AI speculators need to 'differentiate between actual spending and investment' and hype: Strategist - Yahoo Finance - May 18th, 2023 [May 18th, 2023]
- AI Can Be Both Accurate and Transparent - HBR.org Daily - May 18th, 2023 [May 18th, 2023]
- You're Probably Underestimating AI Chatbots | WIRED - WIRED - May 18th, 2023 [May 18th, 2023]
- AI presents political peril for 2024 with threat to mislead voters - The Associated Press - May 18th, 2023 [May 18th, 2023]
- We need AI to help us face the challenges of the future - The Guardian - May 18th, 2023 [May 18th, 2023]
- End Of Googles Dominance? Stock Gets Rare Analyst Downgrade Over AI Fears - Forbes - May 18th, 2023 [May 18th, 2023]
- Watch 44 million atoms simulated using AI and a supercomputer - New Scientist - May 18th, 2023 [May 18th, 2023]
- AI Is The New Electricity: Bank Of America Picks 20 Stocks To Cash In On ChatGPT Hype - Forbes - March 2nd, 2023 [March 2nd, 2023]
- Tech Giants Are Barreling Headfirst Into an AI Arms Race - February 20th, 2023 [February 20th, 2023]
- Bing's AI Is Threatening Users. That's No Laughing Matter - TIME - February 20th, 2023 [February 20th, 2023]
- AI Mania: 3 Rare Pure Plays to Monitor - finance.yahoo.com - February 7th, 2023 [February 7th, 2023]