The AIH Lab and Hong Kong Ethics Lab co-hosted "The Philosophy of AI: Themes from Seth Lazar" workshop at HKU on January 17.
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On December 14 Seth Lazar gave a keynote talk to the NeurIPS workshop on Pluralistic Alignment.
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Seth has been invited to give first Annual Arthur & Barbara Gianelli Lecture on The Philosophy of Science at St John’s University, in April 2025.
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On December 14 Seth Lazar delivered a keynote talk on evaluating the ethical competence of LLMs to the NeurIPS Algorithmic Fairness through the Lens of Metrics and Evaluation workshop
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Professor Seth Lazar will be a keynote speaker at the inaugural Australian AI Safety Forum 2024, joining other leading experts to discuss critical challenges in ensuring the safe development of artificial intelligence.
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On December 9 Seth gave a talk entitled 'Evaluating LLM Ethical Competence' at the HKU workshop on Linguistic and Cognitive Capacities of LLMs.
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From December 1, 2024, to February 7, 2025 Seth will be undertaking a visting fellowship with the University of Hong Kong.
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On December 5, Seth Lazar presented at the Lingnan University Ethics of Artificial Intelligence Conference on rethinking how we evaluate LLM ethical competence. His talk critiqued current approaches focused on binary ethical judgments, arguing instead for evaluations that assess LLMs' capacity for substantive moral reasoning and justification.
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In November, MINT Lab Research Fellow Sean Donahue traveled to Sydney, Hong Kong, and Carnegie Mellon universities to present his research on platform legitimacy and digital governance.
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This week at the MINT Lab Seminar, Jake Stone presented his research arguing that corporate involvement in open source AI isn't simply exploitative, but can create mutually beneficial partnerships when properly governed.
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This week, Harriet Farlow and Tania Sadhani presented their framework for analyzing AI incident likelihood. Developed through a collaboration between Mileva Security Labs, ANU MINT Lab, and UNSW, with funding from Foresight, their work aims to bridge short and long-term AI risks through practical quantification methods.
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This week Robert Long spoke to the lab about his newest paper with MINT lab affiliate Jacqueline Harding arguing that near-term AI systems may develop consciousness, requiring immediate attention to AI welfare considerations.
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