Reference health

  GenAI and the Future of Creativity in Science and Art

https://doi.org/10.2139/ssrn.4586863
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36/36 checkable references clean · checked 2026-08-28

Every reference with a DOI in the deposited reference list resolved to a known work in Crossref or DataCite at the dated check, and none carried a retraction, withdrawal, or removal notice.

56 without a DOI — not checked. A reference deposited without a DOI is never matched by title or guessed at; it stays outside the checked set, and this line discloses that.

The 36 checked references that resolve
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The social psychology of creativity: A componential conceptualization.
resolves10.1177/0149206314527128
Innovation and Creativity in Organizations
resolves10.1111/1540_6245.jaac23.3.0291
<i>On The Creation of Art</i>
resolves10.1016/0304-4076(94)01598-T
General purpose technologies ‘Engines of growth’?
resolves10.1073/pnas.2218523120
Using cognitive psychology to understand GPT-3
resolves10.4324/9780203508527
The Creative Mind
resolves10.1016/S0004-3702(98)00055-1
Creativity and artificial intelligence
resolves10.1038/s41586-018-0337-2
Machine learning for molecular and materials science
resolves10.1103/RevModPhys.91.045002
Machine learning and the physical sciences
resolves10.1016/S0169-7218(10)01004-X
Fifty Years of Empirical Studies of Innovative Activity and Performance
resolves10.1287/stsc.2024.0190
Artificial Intelligence and Strategic Decision-Making: Evidence from Entrepreneurs and Investors
resolves10.1016/j.euroecorev.2022.104083
Evolution of a dealer trading network and its effects on art auction prices
resolves10.1126/sciadv.adn5290
Generative AI enhances individual creativity but reduces the collective diversity of novel content
resolves10.1002/smj.3286
Occupational, industry, and geographic exposure to artificial intelligence: A novel dataset and its potential uses
resolves10.3389/fnhum.2021.666179
Neural Correlates of Causal Inferences in Discourse Understanding and Logical Problem-Solving: A Meta-Analysis Study
resolves10.1126/science.aau7224
Quantifying reputation and success in art
resolves10.1016/j.techfore.2016.08.019
The future of employment: How susceptible are jobs to computerisation?
resolves10.1287/orsc.2019.1294
Managing Autonomy in Industrial Research and Development: A Project-Level Investigation
resolves10.3389/fpsyg.2019.01401
How Artificial Intelligence Can Help Us Understand Human Creativity
resolves10.1016/j.respol.2022.104653
Could machine learning be a general purpose technology? A comparison of emerging technologies using data from online job postings
resolves10.1111/j.1467-937X.2008.00531.x
The Burden of Knowledge and the “Death of the Renaissance Man”: Is Innovation Getting Harder?
resolves10.1002/smj.2294
The double‐edged sword of recombination in breakthrough innovation
resolves10.1145/3575665
Can AI Demonstrate Creativity?
resolves10.1016/j.respol.2024.104985
Algorithmic management in scientific research
resolves10.1177/0008125620940296
Digital Transformation and Organization Design: An Integrated Approach
resolves10.1177/01634437221077009
Rethinking creativity: creative industries, AI and everyday creativity
resolves10.1038/s41586-018-0315-8
Hot streaks in artistic, cultural, and scientific careers
resolves10.1002/smj.3091
Jack of all trades and master of knowledge: The role of diversification in new distant knowledge integration
resolves10.1016/j.jmat.2023.08.007
Can ChatGPT be used to generate scientific hypotheses?
resolves10.1038/s41586-022-05543-x
Papers and patents are becoming less disruptive over time
resolves10.2307/2669380
Causal Inference Without Counterfactuals: Comment
resolves10.4324/9780203994627
The Logic of Scientific Discovery
resolves10.3389/fpsyg.2021.721104
Scientific Creativity: Discovery and Invention as Combinatorial
resolves10.1287/isre.2023.ed.v34.n2
The Janus Effect of Generative AI: Charting the Path for Responsible Conduct of Scholarly Activities in Information Systems
resolves10.2307/2182766
Creativity in Art
resolves10.1177/00081256211041787
How to Appropriate Value from General-Purpose Technology by Applying Open Innovation
The 56 references without a DOI — listed, not checked
no DOI — not checkedRegulating transformative technologies
no DOI — not checkedref2
no DOI — not checkedref3
no DOI — not checkedref4
no DOI — not checkedFrom Prediction to Transformation
no DOI — not checkedChatGPT and how AI disrupts Industries
no DOI — not checkedref8
no DOI — not checkedref9
no DOI — not checkedref11
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no DOI — not checkedref14
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no DOI — not checkedref20
no DOI — not checkedTheory and Observation in Science
no DOI — not checkedref23
no DOI — not checkedref24
no DOI — not checkedThe role of creativity as a driver of innovation
no DOI — not checkedref29
no DOI — not checkedref30
no DOI — not checkedref33
no DOI — not checkedref35
no DOI — not checkedref41
no DOI — not checkedref43
no DOI — not checkedBut what's left when the hype is gone?
no DOI — not checkedAI is dreaming up drugs that no one has ever seen. Now we've got to see if they work
no DOI — not checkedref46
no DOI — not checkedref47
no DOI — not checkedHypotheses devised by AI could find blind spots in research
no DOI — not checkedref49
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no DOI — not checkedref51
no DOI — not checkedref52
no DOI — not checkedref54
no DOI — not checkedref59
no DOI — not checkedUnderstanding the onset of hot streaks across artistic, cultural, and scientific careers
no DOI — not checkedref63
no DOI — not checkedref64
no DOI — not checkedGenerative AI Sucks: Meta's Chief AI Scientist Calls For A Shift To Objective-Driven AI
no DOI — not checkedArt, creativity, and the potential of artificial intelligence
no DOI — not checkedThe associative basis of the creative process
no DOI — not checkedManaging the Creative Frontier of Generative AI: The Novelty-Usefulness Tradeoff
no DOI — not checkedref70
no DOI — not checkedref74
no DOI — not checkedThe future of human work is imagination, creativity, and strategy
no DOI — not checkedref76
no DOI — not checkedArt-ificial Intelligence: The Effect of AI Disclosure on Evaluations of Creative Content
no DOI — not checkedref79
no DOI — not checkedWhy do firms do basic research (with their own money)?
no DOI — not checkedref81
no DOI — not checkedWhy artificial intelligence needs to understand consequences
no DOI — not checkedref83
no DOI — not checkedDifferent brain structures associated with artistic and scientific creativity: a voxel-based morphometry study
no DOI — not checkedref87
no DOI — not checkedref89
no DOI — not checkedref90
no DOI — not checkedTransmission versus truth, imitation versus innovation: What children can do that large language and language-and-vision models cannot (yet)
What this badge says. CiteStamped means the CHECKABLE references of this work were clean at the dated check: each resolved to a known work in a public registry, and none carried a retraction notice at that time. It says nothing about the quality, findings, or importance of the work itself, and nothing about references deposited without a DOI.

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