https://www.rutabinkyte.com https://www.rutabinkyte.com/publications https://www.rutabinkyte.com/projects https://www.rutabinkyte.com/people https://www.rutabinkyte.com/courses https://www.rutabinkyte.com/posts https://www.rutabinkyte.com/pages https://www.rutabinkyte.com/cv https://www.rutabinkyte.com/contact_form https://www.rutabinkyte.com/publications/52572-interactional-fairness-in-llm-multi-agent-systems-an-evaluation-framework https://www.rutabinkyte.com/publications/43213-causality-is-key-to-understand-and-balance-multiple-goals-in-trustworthy-ml-and-foundation-models https://www.rutabinkyte.com/publications/43212-safety-is-essential-for-responsible-open-ended-systems https://www.rutabinkyte.com/publications/52574-justice-in-judgment-unveiling-hidden-bias-in-llm-assisted-peer-reviews https://www.rutabinkyte.com/publications/36196-babe-enhancing-fairness-via-estimation-of-explaining-variables https://www.rutabinkyte.com/publications/36203-alvolution-al-and-digital-technologies-in-the-european-union https://www.rutabinkyte.com/publications/36195-causal-discovery-under-local-privacy https://www.rutabinkyte.com/publications/38896-llm4grn-discovering-causal-gene-regulatory-networks-with-llms-evaluation-through-synthetic-data-generation https://www.rutabinkyte.com/publications/43939-causal-discovery-for-fairness https://www.rutabinkyte.com/publications/36202-dissecting-causal-biases https://www.rutabinkyte.com/publications/36197-gender-and-sex-bias-in-covid-19-epidemiological-data-through-the-lens-of-causality https://www.rutabinkyte.com/publications/36200-advancing-ethical-ai-methods-for-fairness-enhancement-leveraging-on-causality-and-under-privacy-constraints-advancing-ethical-ai-methods-for-fairness-enhancement-leveraging-on-causality-and-under-privacy-constraints https://www.rutabinkyte.com/publications/36198-distant-reading-and-viewing-big-questions-in-digital-art-history-and-digital-literary-studies https://www.rutabinkyte.com/publications/36204-shedding-light-on-underrepresentation-and-sampling-bias-in-machine-learning https://www.rutabinkyte.com/publications/36201-on-the-need-and-applicability-of-causality-for-fair-machine-learning https://www.rutabinkyte.com/posts/5187-preprint-position-trustworthy-ai-suffers-from-invariance-conflicts-and-causality-is-the-solution https://www.rutabinkyte.com/posts/5186-preprint-inspectable-ai-for-science-a-research-object-approach-to-generative-ai-governance https://www.rutabinkyte.com/posts/4816-baimes-ir-vilties-masinos https://www.rutabinkyte.com/posts/4618-what-makes-us-human-in-the-age-of-ai https://www.rutabinkyte.com/posts/4488-new-paper-interactional-fairness-in-multi-agent-llm-systems https://www.rutabinkyte.com/posts/3714-new-paper-causality-is-key-to-understand-and-balance-multiple-goals-in-trustworthy-ml-and-foundation-models https://www.rutabinkyte.com/pages/5952-about https://www.rutabinkyte.com/pages/6399-galleries https://www.rutabinkyte.com/pages/6286-service