mlsanityData to 7 Oct 2026

Mimetic Models: Ethical Implications of AI that Acts Like You

arXiv 2207.09394 ↗First posted 19 Jul 2022cs.AI cs.CYcited by 11

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Abstract (arXiv)

An emerging theme in artificial intelligence research is the creation of models to simulate the decisions and behavior of specific people, in domains including game-playing, text generation, and artistic expression. These models go beyond earlier approaches in the way they are tailored to individuals, and the way they are designed for interaction rather than simply the reproduction of fixed, pre-computed behaviors. We refer to these as mimetic models, and in this paper we develop a framework for characterizing the ethical and social issues raised by their growing availability. Our framework includes a number of distinct scenarios for the use of such models, and considers the impacts on a range of different participants, including the target being modeled, the operator who deploys the model, and the entities that interact with it.

Key facts. Cited by 11 papers in the map (data through 7 Oct 2026). Builds on 42 of its 115 references that are in the map. First posted on arXiv 19 Jul 2022.

Builds on

42 of 115 references.

References · 42

  1. 2021Learning Transferable Visual Models From Natural Language Supervisioncited by 33,456
  2. 2021Evaluating Large Language Models Trained on Codecited by 8,053
  3. 2022Hierarchical Text-Conditional Image Generation with CLIP Latentscited by 6,539
  4. 2022Flamingo: a Visual Language Model for Few-Shot Learningcited by 4,337
  5. 2021Zero-Shot Text-to-Image Generationcited by 4,276
  6. 2021Scaling Up Visual and Vision-Language Representation Learning With Noisy Text Supervisioncited by 3,848
  7. 2019A Survey on Bias and Fairness in Machine Learningcited by 1,911
  8. 2016OpenAI Gymcited by 1,684
  9. 2019Semantic Image Synthesis with Spatially-Adaptive Normalizationcited by 1,295
  10. 2018Self-Attentive Sequential Recommendationcited by 1,169
  11. 2018Model Cards for Model Reportingcited by 1,068
  12. 2018Personalizing Dialogue Agents: I have a dog, do you have pets too?cited by 820
30 more
  1. 2019Defending Against Neural Fake Newscited by 553
  2. 2018Session-based Recommendation with Graph Neural Networkscited by 312
  3. 2018Human-level performance in first-person multiplayer games with population-based deep reinforcement learningcited by 260
  4. 2020DeepFakes and Beyond: A Survey of Face Manipulation and Fake Detectioncited by 231
  5. 2017DeepStack: Expert-Level Artificial Intelligence in No-Limit Pokercited by 228
  6. 2019The Hanabi Challenge: A New Frontier for AI Researchcited by 194
  7. 2020Fairness in Machine Learningcited by 194
  8. 2019Mitigating Bias in Algorithmic Hiring: Evaluating Claims and Practicescited by 170
  9. 2020Detecting Emergent Intersectional Biases: Contextualized Word Embeddings Contain a Distribution of Human-like Biasescited by 167
  10. 2017Demystifying Neural Style Transfercited by 152
  11. 2020ImageBERT: Cross-modal Pre-training with Large-scale Weak-supervised Image-Text Datacited by 136
  12. 2020Aligning Superhuman AI with Human Behavior: Chess as a Model Systemcited by 78
  13. 2017Who Said What: Modeling Individual Labelers Improves Classificationcited by 77
  14. 2021Off-Belief Learningcited by 72
  15. 2020Deep Learning for Free-Hand Sketch: A Surveycited by 59
  16. 2018A Style-Aware Content Loss for Real-time HD Style Transfercited by 58
  17. 2019Discrimination in the Age of Algorithmscited by 51
  18. 2021Modeling Strong and Human-Like Gameplay with KL-Regularized Searchcited by 50
  19. 2021TextStyleBrush: Transfer of Text Aesthetics from a Single Examplecited by 48
  20. 2018User-Guided Deep Anime Line Art Colorization with Conditional Adversarial Networkscited by 32
  21. 2019Friend, Collaborator, Student, Manager: How Design of an AI-Driven Game Level Editor Affects Creatorscited by 31
  22. 2020Algorithmic Fairness from a Non-ideal Perspectivecited by 30
  23. 2020Bridging Machine Learning and Mechanism Design towards Algorithmic Fairnesscited by 30
  24. 2019Neural Style Transfer Improves 3D Cardiovascular MR Image Segmentation on Inconsistent Datacited by 18
  25. 2020Assessing Game Balance with AlphaZero: Exploring Alternative Rule Sets in Chesscited by 15
  26. 2022Name Your Style: An Arbitrary Artist-aware Image Style Transfercited by 14
  27. 2020Reflexive Design for Fairness and Other Human Values in Formal Modelscited by 11
  28. 2019Your Gameplay Says It All: Modelling Motivation in Tom Clancy's The Divisioncited by 7
  29. 2021Auto Response Generation in Online Medical Chat Servicescited by 3
  30. 2020LSTM and GPT-2 Synthetic Speech Transfer Learning for Speaker Recognition to Overcome Data Scarcitycited by 2

Built on by

Cited by year (2026 to 7 Oct)

Citing papers per year: 2023: 1; 2024: 6; 2025: 2; 2026: 2.

11 papers.

  1. 2024Maia-2: A Unified Model for Human-AI Alignment in Chesscited by 24
  2. 2024Generative Ghosts: Anticipating Benefits and Risks of AI Afterlivescited by 15
  3. 2025HumT DumT: Measuring and controlling human-like language in LLMscited by 11
  4. 2024"I Am the One and Only, Your Cyber BFF": Understanding the Impact of GenAI Requires Understanding the Impact of Anthropomorphic AIcited by 7
  5. 2024MisinfoEval: Generative AI in the Era of "Alternative Facts"cited by 6
  6. 2024SoK: On the Offensive Potential of AIcited by 5
  7. 2024Large Language Model Agents for Improving Engagement with Behavior Change Interventions: Application to Digital Mindfulnesscited by 3
  8. 2026AI and My Values: User Perceptions of LLMs' Ability to Extract, Embody, and Explain Human Values from Casual Conversationscited by 2
  9. 2023Contextual Confidence and Generative AIcited by 1
  10. 2025Ethics and Persuasion in Reinforcement Learning from Human Feedback: A Procedural Rhetorical Approachcited by 1
  11. 2026Mimetic Alignment with ASPECT: Evaluation of AI-inferred Personal Profilescited by 0