Machine Learning and Authorship

CHASE

Machine Learning and Authorship
Tuesday 3rd May | 6.00 - 8.30pm | Online

Machine Learning and AuthorshipDr Jo Walton (Sussex), online event.Date: Tuesday 3 May, 6.00-8.30Dr Jo Walton (Sussex Humanities Lab). This online workshop will explore tools and debates at the intersection of Artificial Intelligence (AI) and authorship. How is AI being used to generate texts, to attribute authorship, and to obfuscate authorship? How does the increasing sophistication of text generation tools complicate what an ‘author’ is, and what might this mean for how universities identify, assess and nurture learning and intellectual accomplishment? How should we think about bias in training data and outputs, and is “bias” always the best way to frame questions around truth and justice in the use of synthetic text? And do new ways of writing texts mean we also need new ways of reading them? This will be an exploratory and interactive workshop. It will situate recent ML-based text generation within a much longer history of automated writing, introduce the contemporary landscape, and seek together to glimpse the future. No coding experience is necessary.Preparation:Please create a Google account if you don't already have one. Otherwise, no preparation is needed.Optional reading:<ul><li>Anne Alexander et al., <a href="https://www.cdh.cam.ac.uk/files/ghostfiction_booklet-compressed.pdf" target="_blank" data-msys-clicktrack="0" rel="nofollow noopener noreferrer">Ghosts, Robots, and Automatic Writing: An AI Level Study Guide</a> (2050)</li><li>Tinmit Gebru et al., <a href="https://dl.acm.org/doi/10.1145/3442188.3445922" target="_blank" data-msys-clicktrack="0" rel="nofollow noopener noreferrer">On the Dangers of Stochastic Parrots: Can Language Models Be Too Big?</a> (2021)</li><li>Paolo Oprandi, <a href="https://blogs.sussex.ac.uk/tel/2022/02/08/authentic-assessments-commoning-the-university-classroom/" target="_blank" data-msys-clicktrack="0" rel="nofollow noopener noreferrer">Authentic Assessments: Using Wikipedia in the University Classroom</a> (2022)</li><li>Jesse Stommel, <a href="https://www.jessestommel.com/ungrading-an-faq/" target="_blank" data-msys-clicktrack="0" rel="nofollow noopener noreferrer">Upgrading: An FAQ</a> (2020)</li></ul>Optional experimenting:<ul><li><a href="https://transformer.huggingface.co/" target="_blank" data-msys-clicktrack="0" rel="nofollow noopener noreferrer">Write with Transformer</a></li><li><a href="https://docs.google.com/document/d/13LDzOodsgwqlm4Jkh8fYDbLQETVfEPmWlq3eBeP3R2k/edit" target="_blank" data-msys-clicktrack="0" rel="nofollow noopener noreferrer">Text Generators: From Dada to GPT</a></li><li><a href="https://colab.research.google.com/drive/1KDNsA0EpofIMEpd64hJCpxGhpa2lEOsi?usp=sharing" target="_blank" data-msys-clicktrack="0" rel="nofollow noopener noreferrer">GPT-Neo for Beginners</a></li><li><a href="https://medium.com/mlearning-ai/text-generation-using-gpt-neo-41877ef586c7" target="_blank" data-msys-clicktrack="0" rel="nofollow noopener noreferrer">Text Generation using GPT-Neo</a></li><li><a href="https://minimaxir.com/2019/09/howto-gpt2/" target="_blank" data-msys-clicktrack="0" rel="nofollow noopener noreferrer">How to Make Custom AI-Generated Text with GPT-2</a></li><li><a href="https://colab.research.google.com/drive/1DVIymCFEjKAVDMZHyvvQG937Aqj78mBD?usp=sharing" target="_blank" data-msys-clicktrack="0" rel="nofollow noopener noreferrer">Aitextgen - finetune GPT-2 or GPT-Neo</a></li></ul>

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The training is open to:
•	CHASE funded and associate students,
•	Arts and Humanities PhD students at CHASE member institutions,
•	and students and members of staff at CHASE partner institutions
•	Arts and Hum PhD students (via the AHRC mailing list)

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Machine Learning and Authorship

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