Decision models and generative LLMs are being tested as synthetic survey respondents, but the best generative model still falls short of real human responses on psychometric similarity. Synthetic samples may look…

#SyntheticData #SurveyResearch #LLMs #Psychometrics
https://arxiv.org/abs/2610.14912

Why is synthetic data "a big mistake?"

Watch ACM Turing Laureate Richard Sutton share his take.

Source: Sequoia Capital YouTube Channel "Rich Sutton and Khurram Javed: Why AI Models Stop Learning, and How to Start It Again"

#syntheticdata #reinforcementlearning #generativeai

#SYNTHIA Insight 10: how #syntheticdata can provide reliable ground truth to benchmark #cancergenomics tools – helping researchers understand algorithm performance and build trust in computational methods.

Learn more: www.ihi-synthia.eu/news/synthia...

#PrecisionMedicine #IHITransformingHealth

New arXiv paper proposes Synthesis Through Simulation, a schema-free method where LLM agents generate enterprise data by executing operations in simulated policy-enforcing environments, ensuring structural validity by design.…

#AI #LLM #EnterpriseAI #SyntheticData
https://arxiv.org/abs/2610.10549

🧪 Synthetic data helps developers test AI with realistic scenarios without relying entirely on real user records.

More test coverage. Better edge-case testing. Privacy-conscious development.

But quality, bias and privacy risks still need validation.

#AI #SyntheticData #AITesting

⏰ Last chance! The #SYNTHIA European survey closes in just a few days. Thank you to everyone who has already shared their views on #syntheticdata in healthcare. Haven't taken part yet? Add your voice before it's too late: forms.cloud.microsoft/e/NnBzgN3MQi
#IHITransformingHealth #HorizonEU

Can AI replace human survey respondents? New research tests open-weight LLMs against a 2,058-person panel. The answer is a qualified yes—but only if models #AI #SurveyResearch #LLM #SyntheticData

https://freegardner.com/synapse/can-ai-replace-human-survey-respondents.html

A new framework uses Fuzzy Cognitive Maps to generate synthetic medical tabular data with explicit causality and privacy preservation, addressing interpretability gaps in deep generative models. This could…

#Cybersecurity #AISafety #HealthcareAI #SyntheticData
https://arxiv.org/abs/2610.00391

A study tested five leading LLMs on replicating a survey of 420 Silicon Valley coders, finding they produced technically plausible but overly harmonized results that missed counterintuitive human insights. The authors conclude…

#SyntheticData #LLMs #SurveyResearch
https://arxiv.org/abs/2603.00059

New tool AutoSynthData generates synthetic training data for enterprise AI agents. No summary details provided, so implications and results remain unclear.

#AutoSynthData #SyntheticData #EnterpriseAI #AIagents
https://huggingface.co/blog/ServiceNow-AI/autosynthdata

AutoSynthData: エンタープライズエージェント向けトレーニングデータの自動生成

ServiceNow AIによるエンタープライズエージェント向け合成データ生成フレームワーク「AutoSynthData」の技術解説。

#LLM #SyntheticData #EnterpriseAgents #FineTuning

New arXiv paper proposes using Generative Flow Networks to create diverse synthetic expert conversations for LLM post-training, addressing mode collapse in direct prompting by sampling latent interaction…

#GFlowNets #SyntheticData #LLMPostTraining #Prompting
https://arxiv.org/abs/2609.38359

LLM research using 93,901 World Values Survey respondents shows that while all six models compress life satisfaction diversity, they largely preserve the income gradient in well-being inequality after normalization.

#LLMs #AIResearch #SyntheticData #WellBeing
https://arxiv.org/abs/2609.33055

AI-based test data generation creates realistic datasets while preserving privacy, improving efficiency and coverage.

To learn more: www.advancedqtp.com/ai-based-tes...

#TestData #SyntheticData

New arXiv paper proposes black-box post-processing methods to align output attribute distributions from generative AI with user-specified targets, covering both exact and approximate alignment. Useful for…

#BlackBoxAI #GenerativeAI #AIFairness #SyntheticData
https://arxiv.org/abs/2609.31607

🧬#SYNTHIA is heading to Paris!

On 5 Oct, Ahmed Youssef Ali will represent #SYNTHIA at the #SHAIPED Stakeholder Forum, joining discussions on whether health data is truly AI-ready.

#SyntheticData #PersonalisedMedicine #AIinHealthcare #EUResearch #DataInnovation #IHITransformingHealth #HorizonEU

Prof. Luis Martí-Bonmatí will present #SYNTHIA’s work on #syntheticdata, cancer research, medical imaging & AI at #EUCancerMission: Stronger Through Connection.
📅 29 Sep–1 Oct

#PersonalisedMedicine #AIinHealthcare #EUResearch #DataInnovation #IHITransformingHealth #HorizonEU

Ontology2Graph 1.0 is out. Start with an RDFS/OWL ontology and generate synthetic knowledge graphs using generative AI and graph fusion.

Release notes: github.com/Orange-OpenS...)

#KnowledgeGraphs #Ontologies #SyntheticData

i read this crap, ya know. #syntheticdata

That is a wrap on #SYNTHIA GA2026! 🇩🇪
Two days of valuable discussions, new insights & collaboration as we shape the next phase of SYNTHIA.
Thank you to all our partners & speakers, and to our hosts Fraunhofer & Gates Ventures! 🤝
#SyntheticData #PersonalisedMedicine #IHITransformingHealth #HorizonEU