mlsanityData to 7 Oct 2026

A Robot Walks into a Bar: Can Language Models Serve as Creativity Support Tools for Comedy? An Evaluation of LLMs' Humour Alignment with Comedians

arXiv 2405.20956 ↗First posted 31 May 2024cs.AI cs.CLcited by 29

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Abstract (arXiv)

We interviewed twenty professional comedians who perform live shows in front of audiences and who use artificial intelligence in their artistic process as part of 3-hour workshops on ``AI x Comedy'' conducted at the Edinburgh Festival Fringe in August 2023 and online. The workshop consisted of a comedy writing session with large language models (LLMs), a human-computer interaction questionnaire to assess the Creativity Support Index of AI as a writing tool, and a focus group interrogating the comedians' motivations for and processes of using AI, as well as their ethical concerns about bias, censorship and copyright. Participants noted that existing moderation strategies used in safety filtering and instruction-tuned LLMs reinforced hegemonic viewpoints by erasing minority groups and their perspectives, and qualified this as a form of censorship. At the same time, most participants felt the LLMs did not succeed as a creativity support tool, by producing bland and biased comedy tropes, akin to ``cruise ship comedy material from the 1950s, but a bit less racist''. Our work extends scholarship about the subtle difference between, one the one hand, harmful speech, and on the other hand, ``offensive'' language as a practice of resistance, satire and ``punching up''. We also interrogate the global value alignment behind such language models, and discuss the importance of community-based value alignment and data ownership to build AI tools that better suit artists' needs.

Key facts. Cited by 29 papers in the map (data through 7 Oct 2026). Builds on 44 of its 113 references that are in the map. First posted on arXiv 31 May 2024.

Builds on

44 of 113 references.

References · 44

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2024: 4; 2025: 18; 2026: 7.

29 papers.

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  1. 2024Can AI writing be salvaged? Mitigating Idiosyncrasies and Improving Human-AI Alignment in the Writing Process through Editscited by 49
  2. 2025Roll the dice & look before you leap: Going beyond the creative limits of next-token predictioncited by 28
  3. 2025AI-Slop to AI-Polish? Aligning Language Models through Edit-Based Writing Rewards and Test-time Computationcited by 24
  4. 2024CS4: Measuring the Creativity of Large Language Models Automatically by Controlling the Number of Story-Writing Constraintscited by 22
  5. 2025Which Contributions Deserve Credit? Perceptions of Attribution in Human-AI Co-Creationcited by 13
  6. 2025Large Language Models for Subjective Language Understanding: A Surveycited by 9
  7. 2026Can Good Writing Be Generative? Expert-Level AI Writing Emerges through Fine-Tuning on High-Quality Bookscited by 9
  8. 2025Guardians and Offenders: A Survey on Harmful Content Generation and Safety Mitigation of LLMcited by 8
  9. 2025Un-Straightening Generative AI: How Queer Artists Surface and Challenge the Normativity of Generative AI Modelscited by 6
  10. 2024CleanComedy: Creating Friendly Humor through Generative Techniquescited by 5
  11. 2025Humor in Pixels: Benchmarking Large Multimodal Models Understanding of Online Comicscited by 5
  12. 2025The Theater Stage as Laboratory: Review of Real-Time Comedy LLM Systems for Live Performancecited by 4
17 more
  1. 2025Constella: Supporting Storywriters' Interconnected Character Creation through LLM-based Multi-Agentscited by 4
  2. 2025Evaluating the Creativity of LLMs in Persian Literary Text Generationcited by 4
  3. 2025Expertise elevates AI usage: experimental evidence comparing laypeople and professional artistscited by 3
  4. 2026Addressing LLM Diversity by Infusing Random Conceptscited by 3
  5. 2026On the Wings of Imagination: Conflicting Script-based Multi-role Framework for Humor Caption Generationcited by 3
  6. 2025ACAI for SBOs: AI Co-creation for Advertising and Inspiration for Small Business Ownerscited by 2
  7. 2025Do Chinese models speak Chinese languages?cited by 2
  8. 2025Pun Unintended: LLMs and the Illusion of Humor Understandingcited by 2
  9. 2025Governing AI Beyond the Pretraining Frontiercited by 1
  10. 2025Bypassing Safety Guardrails in LLMs Using Humorcited by 1
  11. 2025Accepted with Minor Revisions: Value of AI-Assisted Scientific Writingcited by 1
  12. 2026Timing In stand-up Comedy: Text, Audio, Laughter, Kinesics (TIC-TALK): Pipeline and Database for the Multimodal Study of Comedic Timingcited by 1
  13. 2024Dialogue with the Machine and Dialogue with the Art World: Evaluating Generative AI for Culturally-Situated Creativitycited by 0
  14. 2025Decoders Laugh as Loud as Encoderscited by 0
  15. 2026"Not Human, Funnier": How Machine Identity Shapes Humor Perception in Online AI Stand-up Comedycited by 0
  16. 2026Investigating Counterfactual Unfairness in LLMs towards Identities through Humorcited by 0
  17. 2026CASPER in the Machine: Insights into Character Variety in LLM-Generated Storiescited by 0

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  1. 2025Bridging the Creativity Understanding Gap: Small-Scale Human Alignment Enables Expert-Level Humor Ranking in LLMs
  2. 2024Cracking the Code of Juxtaposition: Can AI Models Understand the Humorous Contradictions
  3. 2026Jokeasy: Exploring Human-AI Collaboration in Thematic Joke Generation ↗
  4. 2026AGC-Bench: Measuring Artificial General Creativity
  5. 2025When 'YES' Meets 'BUT': Can Large Models Comprehend Contradictory Humor Through Comparative Reasoning?
  6. 2026COMIC: Agentic Sketch Comedy Generation
  7. 2024Humor in AI: Massive Scale Crowd-Sourced Preferences and Benchmarks for Cartoon Captioning
  8. 2026Lighting Up or Dimming Down? Exploring Dark Patterns of LLMs in Co-Creativity