The Value, Benefits, and Concerns of Generative AI-Powered Assistance in Writing
Zhuoyan Li, Chen Liang, Jing Peng, Ming Yin
Abstract
Recent advances in generative AI technologies like large language models raise both excitement and concerns about the future of human-AI co-creation in writing. To unpack people’s attitude towards and experience with generative AI-powered writing assistants, in this paper, we conduct an experiment to understand whether and how much value people attach to AI assistance, and how the incorporation of AI assistance in writing workflows changes people’s writing perceptions and performance. Our results suggest that people are willing to forgo financial payments to receive writing assistance from AI, especially if AI can provide direct content generation assistance and the writing task is highly creative. Generative AI-powered assistance is found to offer benefits in increasing people’s productivity and confidence in writing. However, direct content generation assistance offered by AI also comes with risks, including decreasing people’s sense of accountability and diversity in writing. We conclude by discussing the implications of our findings.
Ask about this paper
Your agent reads all of it.
Lune indexed this paper to the last equation, along with the top-tier papers that cite it. Ask a question and the answer quotes them.
Your agent calls
Luneget_paper_fulltext
Free to start. No credit card required.
Terminal
Install the CLIlune papers fulltext 52cf0a32-1bef-4b3e-a97b-ad2b594f11cdCited by top-tier papers26
- Which Contributions Deserve Credit? Perceptions of Attribution in Human-AI Co-CreationJessica He, Stephanie Houde, Justin D. WeiszCHI 2025 · 70 citations
- Understanding the LLM-ification of CHI: Unpacking the Impact of LLMs at CHI through a Systematic Literature ReviewRock Yuren Pang, Hope Schroeder, Kynnedy Simone Smith, Solon Barocas et al.CHI 2025 · 51 citations
- Governance of Generative AI in Creative Work: Consent, Credit, Compensation, and BeyondLin Kyi, Amruta Mahuli, Michael Six Silberman, Reuben Binns et al.CHI 2025 · 50 citations
- How CO2STLY Is CHI? The Carbon Footprint of Generative AI in HCI Research and What We Should Do About ItNanna Inie, Jeanette Falk, Raghavendra SelvanCHI 2025 · 33 citations
- From Text to Trust: Empowering AI-assisted Decision Making with Adaptive LLM-powered AnalysisZhuoyan Li, Hangxiao Zhu, Zhuoran Lu, Ziang Xiao et al.CHI 2025 · 30 citations
Builds on12
- Language Models are Few-Shot LearnersTom B. Brown, Benjamin Mann, Nick Ryder, Melanie Subbiah et al.NeurIPS 2020 · 64,255 citations
- CoAuthor: Designing a Human-AI Collaborative Writing Dataset for Exploring Language Model CapabilitiesMina Lee, Percy Liang, Qian YangCHI 2022 · 340 citations
- Synthetic Lies: Understanding AI-Generated Misinformation and Evaluating Algorithmic and Human SolutionsJiawei Zhou, Yixuan Zhang, Qianni Luo, Andrea G. Parker et al.CHI 2023 · 283 citations
- Co-Writing with Opinionated Language Models Affects Users' ViewsMaurice Jakesch, Advait Bhat, Daniel Buschek, Lior Zalmanson et al.CHI 2023 · 249 citations
- Co-Writing Screenplays and Theatre Scripts with Language Models: Evaluation by Industry ProfessionalsPiotr Mirowski, Kory W. Mathewson, Jaylen Pittman, Richard EvansCHI 2023 · 235 citations
Related papers
- How Does the Disclosure of AI Assistance Affect the Perceptions of Writing?Zhuoyan Li, Chen Liang, Jing Peng, Ming YinEMNLP 2024 · 8 citations
- Shaping Human-AI Collaboration: Varied Scaffolding Levels in Co-writing with Language ModelsParamveer S. Dhillon, Somayeh Molaei, Jiaqi Li, Maximilian Golub et al.CHI 2024 · 102 citations
- LLM or Human? Perceptions of Trust and Quality in Research SummariesNil-Jana Akpinar, Sandeep Avula, Chia-Jung Lee, Brandon Dang et al.CHI 2026 · 2 citations
- Social Dynamics of AI Support in Creative WritingKaty Ilonka Gero, Tao Long, Lydia B. ChiltonCHI 2023 · 125 citations
- Human Creativity in the Age of LLMs: Randomized Experiments on Divergent and Convergent ThinkingHarsh Kumar, Jonathan Vincentius, Ewan Jordan, Ashton AndersonCHI 2025 · 107 citations
