CONSEQUENCES OF MISALIGNED AI

von Zhuang, imon
Veröffentlicht in NeurIPS (34. : 2020 : Online) 34th Conference on Neural Information Processing Systems (NeurIPS 2020) ; Volume 19 of 27 (2021)

Incomplete Contracting and Al Alignment

von Hadfield-Menell, Dylan
Veröffentlicht in AAAI/ACM Conference on AI, Ethics, and Society (2. : 2019 : Honolulu, Hawaii) AIES'19 (2019)

Legible Normativity for Al Alignment: The Value of Silly Rules

von Lerer, Adam
Veröffentlicht in AAAI/ACM Conference on AI, Ethics, and Society (2. : 2019 : Honolulu, Hawaii) AIES'19 (2019)

Robust Feature-Level Adversaries are Interpretability Tools

von Casper, Stephen
Veröffentlicht in NeurIPS (36. : 2022 : New Orleans, La.; Online) 36th Conference on Neural Information Processing Systems (NeurIPS 2022 ; Volume 43 of 50 (2023)

Estimating and Penalizing Induced Preference Shifts in Recommender Systems

von Carroll, Micah D.
Veröffentlicht in International Conference on Machine Learning (39. : 2022 : Baltimore, Md.; Online) International Conference on Machine Learning (ICML 2022) ; Part 4 of 33 (2023)

Human-Al Learning Performance in Multi-Armed Bandits

von Pandya, Ravi
Veröffentlicht in AAAI/ACM Conference on AI, Ethics, and Society (2. : 2019 : Honolulu, Hawaii) AIES'19 (2019)

SILLY RULES IMPROVE THE CAPACITY OF AGENTS TO LEARN STABLE ENFORCEMENT AND COMPLIANCE BEHAVIORS

von Köster, Raphael
Veröffentlicht in AAMAS (19. : 2020 : Online) International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2020) ; Volume 3 of 3 (2021)

How to talk so AI will learn: Instructions, descriptions, and autonomy

von Sumers, Theodore
Veröffentlicht in NeurIPS (36. : 2022 : New Orleans, La.; Online) 36th Conference on Neural Information Processing Systems (NeurIPS 2022 ; Volume 45 of 50 (2023)