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LessWrong hosts third algorithmic information theory and machine learning symposium at Oxford in July
LessWrong is hosting its third algorithmic information theory and machine learning symposium July 27-29 at Oxford, focused on AI safety applications. The event connects researchers across both fields for presentations and collaboration.
Oxford Symposium Brings Together AI Safety and Algorithmic Information Theory Researchers
LessWrong is organizing the third symposium on algorithmic information theory and machine learning, running July 27-29 at Oxford. The event, titled "AI Safety Applications," will bring together researchers working at the intersection of these two fields.
The symposium targets specialists focused on AI safety research. Attendees will include practitioners in algorithmic information theory and machine learning who are exploring safety applications in their work.
For researchers in AI safety, this event offers a dedicated space to present findings and discuss approaches with peers working on related problems. The three-day format allows for both formal presentations and informal collaboration.
Who Should Attend
- Researchers in algorithmic information theory
- Machine learning practitioners focused on safety
- Scientists exploring theoretical foundations of AI safety
If you're working in AI safety research or related theoretical areas, AI for Science & Research courses can provide foundational knowledge in machine learning applications to research problems. For those seeking broader research training, AI Research Courses cover methodologies relevant to conference-level work.