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Fiebrink, Rebecca and Trueman, Daniel and Cook, Perry R. (2009) A Meta-Instrument for Interactive, On-the-fly Machine Learning. In: International Conference on New Interfaces for Musical Expression (NIME), 3-6 June 2009, Pittsburgh, PA, USA.
Windle, Amanda (2010) Design Re-enactments in Audio. In: Practicing Science and Technology, Performing the Social, 2nd-4th Sept 2010, University of Trento, Italy. (Unpublished)
Windle, Amanda (2011) Inscribing Complexity: Diagrammatic Interventions. In: Visualisation in the Age of Computerization, 25-26 March 2011, Saïd Business School, Oxford University.
Windle, Amanda (2011) Territorial Violence and Design, 1950-2010: A Human-Computer Study of Personal Space and Chatbot Interaction. PhD thesis, University of the Arts London with Surrey University.
Fiebrink, Rebecca and Cook, Perry R. and Trueman, Daniel (2011) Human Model Evaluation in Interactive Supervised Learning. In: ACM SIGCHI Conference on Human Factors in Computing Systems (CHI'11), 7-12 May 2011, Vancouver, BC, Canada.
Windle, Amanda (2012) Design for prevention and the promises of automated things: two fictional accounts of misanthropic agency from the elevator (lift) to the sexbot. In: CRESC Conference 2012 Promises: Crisis and Socio-Cultural Change, 4th - 7th September 2012, Manchester.
Windle, Amanda (2012) Video interview on enterprise and research at the DigiLab. Co-Creating the Future.
Shepperd, Martin and Song, Qinbao and Sun, Zhongbin and Mair, Carolyn (2013) Data Quality: Some Comments on the NASA Software Defect Data Sets. IEEE Transactions on Software Engineering, 39 (9). pp. 1208-1215. ISSN 0098-5589
Windle, Amanda (2014) Automation and design for prevention: Fictional accounts of misanthropic agency from the elevator (lift) to the sexbot (chatbot). Technoetic Arts, 12 (1). pp. 91-106. ISSN 1477-965X
Eden, Michael (2016) I Can’t Do that, Dave. Artificial Intelligence, Dada and the Ethics of Perception. Trebuchet Magazine.
Eden, Michael (2016) Stimulating the Simulcra. Can Humans be Trusted With Artificial Intelligence? Trebuchet Magazine.
Eden, Michael (2016) Sure we can, but SHOULD we? Digital Head and the Ethics of Intelligence. Trebuchet Magazine.
Zbyszynski, Michael and Grierson, Mick and Yee-King, Matthew and Fedden, Leon (2017) Write once run anywhere revisited: machine learning and audio tools in the browser with C++ and emscripten. In: Web Audio Conference 2017, 21 - 23 August 2017, Queen Mary University of London, United Kingdom.
Revell, Tobias (2018) Synthesising Obama. [Art/Design Item]
Marenko, Betti (2018) FutureCrafting. A Speculative Method for an Imaginative AI. In: AAAI Spring Symposium Series. Technical Report SS-18. Association for the Advancement of Artificial Intelligence, Palo Alto, California, pp. 419-422. ISBN 978-1-57735-795-7
Hassani, H. and Huang, X. and Silva, E.S. (2018) Banking with blockchain-ed big data. Journal of Management Analytics, 5 (4). pp. 256-275. ISSN 2327-0012
Hassani, H. and Huang, X. and Silva, E.S. (2018) Big-Crypto: Big Data, Blockchain and Cryptocurrency. Big Data and Cognitive Computing, 2 (34). ISSN 2504-2289
Dada, Maria (2018) Social Wealth Funds And An Avant-Garde Blockchain Accounting System. Autonomy. ISSN 2515-9852
Růžička, Vít (2019) Latent Jungle. [Art/Design Item]
Revell, Tobias and Goatley, Wesley and Peters, Charley (2019) Charismatic Megapigment. [Art/Design Item]
Ramos, Gonzalo and Suh, Jina and Ghorashi, Soroush and Meek, Christopher and Banks, Richard and Amershi, Saleema and Fiebrink, Rebecca and Smith-Renner, Alison and Bansal, Gagan (2019) Emerging Perspectives in Human-Centered Machine Learning. In: CHI '19: CHI Conference on Human Factors in Computing Systems, 4-9 May 2019, Glasgow, Scotland.
McCallum, Louis and Fiebrink, Rebecca (2019) Supporting Feature Engineering in End-User Machine Learning. In: CHI 2019 Workshop on Emerging Perspectives in Human-Centered Machine Learning, 4 May 2019, Glasgow, Scotland.
Lalioti, Vali (2019) RethinkAI™ : Designing the Human and AI relationship in the Future of Work. In: International Association of Societies of Design Research Conference 2019, 2-5 September 2019, Manchester School of Art.
Gonzalez Diaz, Carlos and Perry, Phoenix and Fiebrink, Rebecca (2019) Interactive Machine Learning for More Expressive Game Interactions. In: IEEE Conference on Games (GOG) 2019, 20-23 August 2019, London, UK.
Dada, Maria (2019) Digital Models: Cannibalising the Remnants of the Map. Machine Feeling: A Peer-Reviewed Newspaper, 8 (1). ISSN 2245-7593
Broad, Terence and Grierson, Mick (2019) Searching for an (un)stable equilibrium: experiments in training generative models without data. In: Machine Learning for Creativity and Design, December 14t 2019, NeurIPS 2019 Workshop, Vancouver, Canada.
Vigliensoni, Gabriel and McCallum, Louis and Maestre, Esteban and Fiebrink, Rebecca (2020) Generation and visualization of rhythmic latent spaces. In: The 2020 Joint Conference on AI Music Creativity, 19-23 October 2020.
Vigliensoni, Gabriel and McCallum, Louis and Fiebrink, Rebecca (2020) Creating Latent Spaces for Modern Music Genre Rhythms Using Minimal Training Data. In: International Conference on Computational Creativity (ICCC), 7-11 September 2020.
McCallum, Louis and Fiebrink, Rebecca (2020) The challenge of feature engineering in programming for moving bodies. In: NordiCHI '20 Workshop on Programming for Moving Bodies, 26 October 2020, Online.
Hassani, H. and Silva, E.S. and Unger, S. and TajMazinani, M. and Mac Feely, S. (2020) Artificial Intelligence (AI) or Intelligence Augmentation (IA): What Is the Future? AI, 1. pp. 143-155. ISSN 2673-2688
Fiebrink, Rebecca and Sonami, Laetitia (2020) Reflections on Eight Years of Instrument Creation with Machine Learning. In: International Conference on New Interfaces for Musical Expression (NIME), 21-25 July 2020, Birmingham, UK.
Bernardo, Francisco and Zbyszynski, Michael and Grierson, Mick and Fiebrink, Rebecca (2020) Designing and Evaluating the Usability of a Machine Learning API for Rapid Prototyping Music Technology. Frontiers in Artificial Intelligence, 3. ISSN 2624-8212
Růžička, Vít (2021) Latent Rider. [Art/Design Item]
Růžička, Vít (2021) Super Super Super Resolution. [Art/Design Item]
Raz, Daniela and Bintz, Corinne and Guetler, Vivian and Tam, Aaron and Katell, Michael and Dailey, Dharma and Herman, Bernease and Krafft, P M and Young, Meg (2021) Face Mis-ID: An Interactive Pedagogical Tool Demonstrating Disparate Accuracy Rates in Facial Recognition. In: AIES '21: Proceedings of the 2021 AAAI/ACM Conference on AI, Ethics, and Society. Association for Computing Machinery, pp. 895-904. ISBN 978-1-4503-8473-5
Marenko, Betti (2021) Designing Smart Objects in Everyday Life Intelligences, Agencies, Ecologies. Bloomsbury Visual Arts . Bloomsbury. ISBN 9781350160125 (In Press)
Krafft, P M and Young, Meg and Katell, Michael and Lee, Jennifer and Narayan, Shankar and Epstein, Micah and Dailey, Dharma and Herman, Bernease and Tam, Aaron and Guetler, Vivian and Bintz, Corinne and Raz, Daniella and Jobe, Pa Ousman and Putz, Franziska and Robick, Brian and Barghouti, Bissan (2021) An Action-Oriented AI Policy Toolkit for Technology Audits by Community Advocates and Activists. In: FAccT '21: Proceedings of the 2021 ACM Conference on Fairness, Accountability, and Transparency. Association for Computing Machinery, pp. 772-781. ISBN 978-1-4503-8309-7
Krafft, P M and Shmueli, Erez and Thomas, Griffiths and Joshua, Tenenbaum and Alex, Pentland (2021) Bayesian collective learning emerges from heuristic social learning. Cognition, 212. ISSN 0010-0277
Hassani, H. and Huang, X. and Silva, E.S. (2021) The Human Digitalisation Journey: Technology First at the Expense of Humans? Information, 12 (7). p. 267. ISSN 2078-2489
Chapko, Dorota and Frumiento, Pino and Emeh, Lizzie and Rothstein, Pedro and Kennedy, Donald and McNicholas, David and Orjiekwe, Ifeoma and Overton, Michaela and Snead, Mark and Steward, Robyn and Sutton, Jenny M and Bradshaw, Mellisa and Jeffreys, Evie and Gallia, Will and Ewans, Sarah and Williams, Mark and Grierson, Mick (2021) Supporting Remote Survey Data Analysis by Co-researchers with Learning Disabilities through Inclusive and Creative Practices and Data Science Approaches. In: 2021 ACM Designing Interactive Systems (DIS) conference, 28 June - 2 July 2021, Virtual (USA).
Broad, Terence and Leymarie, Frederic Fol and Grierson, Mick (2021) Network Bending: Expressive Manipulation of Deep Generative Models. In: EvoMUSART 2021, 10th International Conference on Artificial Intelligence in Music, Sound, Art and Design, 7-9 April 2021, Online.
Broad, Terence and Leymarie, Frederic Fol and Grierson, Mick (2021) Network Bending: Expressive Manipulation of Generative Models in Multiple Domains. Entropy, 24 (28). ISSN 1099-4300
Broad, Terence and Berns, Sebastian and Colton, Simon and Grierson, Mick (2021) Active Divergence with Generative Deep Learning - A Survey and Taxonomy. In: Proceedings of the 12th International Conference on Computational Creativity. Association for Computational Creativity. ISBN 978-989-54160-3-5
Kirk, Pedro Douglas and Grierson, Mick and Ward, Nick and Brander, Fran and Kelly, Kate and Chegwidden, Will and Shivjhi, Dhiren and Stewart, Lauren (2022) Real-time auditory feedback may reduce abnormal movements in patients with chronic stroke. Disability and Rehabilitation. pp. 1-7. ISSN 1464-5165