AbductionRules: Training Transformers to Explain Unexpected Inputs. - Nathan Young; Qiming Bao 001; Joshua Bensemann; Michael Witbrock (ACL (Findings), 2022)

Data and model bias in artificial intelligence for healthcare applications in New Zealand. - Vithya Yogarajan; Gillian Dobbie; Sharon Leitch; Te Taka Keegan; Joshua Bensemann; Michael Witbrock; Varsha Asrani; David Reith (Frontiers Comput. Sci., 2022)

Relating Blindsight and AI: A Review. - Joshua Bensemann; Qiming Bao 001; Gaël Gendron; Tim Hartill; Michael Witbrock (J. Artif. Intell. Conscious., 2022)

Multi2Claim: Generating Scientific Claims from Multi-Choice Questions for Scientific Fact-Checking. - Neset Tan; Trung Nguyen; Joshua Bensemann; Alex Yuxuan Peng; Qiming Bao 001; Yang Chen 028; Mark Gahegan; Michael Witbrock (EACL, 2023)

Challenges in Annotating Datasets to Quantify Bias in Under-represented Society. - Vithya Yogarajan; Gillian Dobbie; Timothy Pistotti; Joshua Bensemann; Kobe Knowles (ETHAICS@IJCAI, 2023)

Neuromodulation Gated Transformer. - Kobe Knowles; Joshua Bensemann; Diana Benavides Prado; Vithya Yogarajan; Michael Witbrock; Gillian Dobbie; Yang Chen 028 (Tiny Papers @ ICLR, 2023)

Input-length-shortening and text generation via attention values. - Neset Özkan Tan; Alex Yuxuan Peng; Joshua Bensemann; Qiming Bao 001; Tim Hartill; Mark Gahegan; Michael Witbrock (CoRR, 2023)

Do Smaller Language Models Answer Contextualised Questions Through Memorisation Or Generalisation? - Tim Hartill; Joshua Bensemann; Michael Witbrock; Patricia J. Riddle (CoRR, 2023)

Clipping the Risks: Integrating Consciousness in AGI to Avoid Existential Crises. - Izak Tait; Joshua Bensemann (AGI, 2024)

Is GPT-4 Conscious? - Izak Tait; Joshua Bensemann; Ziqi Wang (J. Artif. Intell. Conscious., 2024)

From What You See to What We Smell: Linking Human Emotions to Bio-Markers in Breath. - Joshua Bensemann; Hasnain Cheena; David Tse Jung Huang; Elizabeth Broadbent; Jonathan Williams; Jörg Wicker (IEEE Trans. Affect. Comput., 2024)