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From scriptor to promptor: An evaluation of the status of authorship, authenticity, and creativity in light of the use of artificial intelligence in screenwriting
8 references·0 citing·29 second hop
From scriptor to promptor: An evaluation of the status of authorship, authenticity, and creativity in light of the use of artificial intelligence in screenwriting (2024)From scriptor to promptor: An evaluation …In Conversation with Artificial Intelligence: Aligning language Models with Human Values (2023)In Conversation with Artifici…ChatGPT listed as author on research papers: many scientists disapprove (2023)ChatGPT listed as author on r…AI as Agency Without Intelligence: on ChatGPT, Large Language Models, and Other Generative Models (2023)AI as Agency Without Intellig…Taxonomy of Risks posed by Language Models (2022)Taxonomy of Risks posed by La…Ethical and social risks of harm from Language Models (2021)Ethical and social risks of h…Technics and Time, 1 (1998)Technics and Time, 1How To Do Things With Words (1975)How To Do Things With WordsSpeech Acts (1969)Speech ActsDiscipline and Punish: The Birth of the Prison. (1996)Big Data's Disparate Impact (2014)Semantics derived automatically from language corpora contain human-like biases (2017)AI and the transformation of social science research (2023)Bias and Fairness in Large Language Models: A Survey (2024)Can Generative AI improve social science? (2024)Syntactic Structures (1957)A Survey on Bias and Fairness in Machine Learning (2021)ChatGPT: deconstructing the debate and moving it forward (2023)Typology of Risks of Generative Text-to-Image Models (2023)The benefits, risks and bounds of personalizing the alignment of large language models to individuals (2024)Introduction to WordNet: An On-line Lexical Database * (1990)Positioning: The Discursive Production of Selves (1990)A Dynamic Theory of Organizational Knowledge Creation (1994)The Affective Turn (2008)The Politics and Poetics of Infrastructure (2013)Phenomenology in Its Original Sense (2017)The Fallacy of AI Functionality (2022)Co-Writing with Opinionated Language Models Affects Users’ Views (2023)The Opportunities and Risks of Large Language Models in Mental Health (2024)Foundations of Language (2002)Epistemic Injustice (2007)Cognitive Grammar (2008)ChatGPT and the rise of generative AI: Threat to academic integrity? (2023)From human writing to artificial intelligence generated text: examining the prospects and potential threats of ChatGPT in academic writing (2023)The ethics of ChatGPT – Exploring the ethical issues of an emerging technology (2023)Auditing large language models: a three-layered approach (2023)Performing an Inductive Thematic Analysis of Semi-Structured Interviews With a Large Language Model: An Exploration and Provocation on the Limits of the Approach (2023)Uses of Generative AI in the Newsroom: Mapping Journalists’ Perceptions of Perils and Possibilities (2024)
this work references cited by second hop

References

  • 1975How To Do Things With Words21,513 cited
  • 1969Speech Acts11,742 cited
  • 1998Technics and Time, 11,515 cited
  • 2023ChatGPT listed as author on research papers: many scientists disapprove868 cited
  • 2022Taxonomy of Risks posed by Language Models750 cited
  • 2021Ethical and social risks of harm from Language Models477 cited
  • 2023AI as Agency Without Intelligence: on ChatGPT, Large Language Models, and Other Generative Models402 cited
  • 2023In Conversation with Artificial Intelligence: Aligning language Models with Human Values124 cited

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