mlsanityData to 7 Oct 2026

Synthetic Data in AI: Challenges, Applications, and Ethical Implications

arXiv 2401.01629 ↗First posted 3 Jan 2024cs.LG cs.AI cs.CYcited by 21

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Abstract (arXiv)

In the rapidly evolving field of artificial intelligence, the creation and utilization of synthetic datasets have become increasingly significant. This report delves into the multifaceted aspects of synthetic data, particularly emphasizing the challenges and potential biases these datasets may harbor. It explores the methodologies behind synthetic data generation, spanning traditional statistical models to advanced deep learning techniques, and examines their applications across diverse domains. The report also critically addresses the ethical considerations and legal implications associated with synthetic datasets, highlighting the urgent need for mechanisms to ensure fairness, mitigate biases, and uphold ethical standards in AI development.

Key facts. Cited by 21 papers in the map (data through 7 Oct 2026). Builds on 17 of its 51 references that are in the map. First posted on arXiv 3 Jan 2024.

Builds on

17 of 51 references.

References · 17

  1. 2020Language Models are Few-Shot Learnerscited by 32,199
  2. 2020Denoising Diffusion Probabilistic Modelscited by 20,851
  3. 2013Auto-Encoding Variational Bayescited by 3,980
  4. 2018Large Scale GAN Training for High Fidelity Natural Image Synthesiscited by 2,609
  5. 2018Junction Tree Variational Autoencoder for Molecular Graph Generationcited by 647
  6. 2022GeoDiff: a Geometric Diffusion Model for Molecular Conformation Generationcited by 511
  7. 2018MolGAN: An implicit generative model for small molecular graphscited by 392
  8. 2023Synthetic Data from Diffusion Models Improves ImageNet Classificationcited by 326
  9. 2022Is synthetic data from generative models ready for image recognition?cited by 320
  10. 2020Large image datasets: A pyrrhic win for computer vision?cited by 237
  11. 2021Improving Robustness using Generated Datacited by 233
  12. 2018Adversarial Audio Synthesiscited by 222
5 more
  1. 2022Synthetic Text Generation with Differential Privacy: A Simple and Practical Recipecited by 108
  2. 2021Differentiable Scaffolding Tree for Molecular Optimizationcited by 53
  3. 2022Reinforced Genetic Algorithm for Structure-based Drug Designcited by 46
  4. 2020Biases in Generative Art -- A Causal Look from the Lens of Art Historycited by 26
  5. 2022Stutter-TTS: Controlled Synthesis and Improved Recognition of Stuttered Speechcited by 3

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2024: 4; 2025: 15; 2026: 2.

21 papers.

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  1. 2025SimMLM: A Simple Framework for Multi-modal Learning with Missing Modalitycited by 22
  2. 2025StoryBench: A Dynamic Benchmark for Evaluating Long-Term Memory with Multi Turnscited by 20
  3. 2025Position: Foundation Models Need Digital Twin Representationscited by 10
  4. 2025MT-RAIG: Novel Benchmark and Evaluation Framework for Retrieval-Augmented Insight Generation over Multiple Tablescited by 7
  5. 2025Content Generation Models in Computational Pathology: A Comprehensive Survey on Methods, Applications, and Challengescited by 5
  6. 2025Grounded in Reality: Learning and Deploying Proactive LLM from Offline Logscited by 3
  7. 2024Open Artificial Knowledgecited by 1
  8. 2025Neural Restoration of Greening Defects in Historical Autochrome Photographs Based on Purely Synthetic Datacited by 1
  9. 2025Privacy-Preserving Synthetic Review Generation with Diverse Writing Styles Using LLMscited by 1
  10. 2025MalDataGen: A Modular Framework for Synthetic Tabular Data Generation in Malware Detectioncited by 1
  11. 2025Generative Adversarial Synthesis and Deep Feature Discrimination of Brain Tumor MRI Imagescited by 1
  12. 2024Building an Ethical and Trustworthy Biomedical AI Ecosystem for the Translational and Clinical Integration of Foundational Modelscited by 0
9 more
  1. 2024Responsible AI in NLP: GUS-Net Span-Level Bias Detection Dataset and Benchmark for Generalizations, Unfairness, and Stereotypescited by 0
  2. 2024Multi-Armed Bandit Approach for Optimizing Training on Synthetic Datacited by 0
  3. 2025Survey Transfer Learning: Recycling Data with Silicon Responsescited by 0
  4. 2025Bridging the Generalisation Gap: Synthetic Data Generation for Multi-Site Clinical Model Validationcited by 0
  5. 2025CASA: CNN Autoencoder-based Score Attention for Efficient Multivariate Long-term Time-series Forecastingcited by 0
  6. 2025The Synthetic Mirror -- Synthetic Data at the Age of Agentic AIcited by 0
  7. 2025Reducing Instability in Synthetic Data Evaluation with a Super-Metric in MalDataGencited by 0
  8. 2026NodeSynth: Socially Aligned Synthetic Data for AI Evaluationcited by 0
  9. 2026Data Safety: Synthetic Data Quality Analysis Using CIFAKE Datasetcited by 0