🔬 Research Summary by Nick Bryan-Kinns, Professor of Creative Computing at the Creative Computing Institute, University of the Arts London, where he researches the human-centred approaches to the use of AI in the Arts. … [Read more...] about Exploring XAI for the Arts: Explaining Latent Space in Generative Music
Ethics
Collect, Measure, Repeat: Reliability Factors for Responsible AI Data Collection
🔬 Research Summary by Oana Inel, a Postdoctoral Researcher at the University of Zurich, where she is working on responsible and reliable use of data and investigating the use of explanations to provide transparency for … [Read more...] about Collect, Measure, Repeat: Reliability Factors for Responsible AI Data Collection
Counterfactual Explanations via Locally-guided Sequential Algorithmic Recourse
🔬 Research Summary by Edward Small, a Ph.D. candidate in computer science at the Royal Melbourne Institute of Technology with his research focused on fair and explainable artificial intelligence. [Original paper … [Read more...] about Counterfactual Explanations via Locally-guided Sequential Algorithmic Recourse
The Moral Machine Experiment on Large Language Models
🔬 Research Summary by Kazuhiro Takemoto, Professor at Kyushu Institute of Technology. [Original paper by Kazuhiro Takemoto] Overview: Large Language Models (LLMs) are increasingly integrated into autonomous … [Read more...] about The Moral Machine Experiment on Large Language Models
Bias and Fairness in Large Language Models: A Survey
🔬 Research Summary by Isabel O. Gallegos, a Ph.D. student in Computer Science at Stanford University, researching algorithmic fairness to interrogate the role of artificial intelligence in equitable … [Read more...] about Bias and Fairness in Large Language Models: A Survey