@inproceedings{5ecc583b6de64f8f963f074ef87dbb8b,
title = "AI Alignment Dialogues: An Interactive Approach to AI Alignment in Support Agents",
abstract = "This project proposes a different way of looking at AI alignment, namely by introducing AI Alignment Dialogues. We argue that alignment dialogues have a number of advantages in comparison to data-driven approaches, especially for behaviour support agents, which aim to support users in achieving their desired future behaviours rather than their current behaviours. The advantages of alignment dialogues include allowing the users to directly convey higher-level concepts to the agent and making the agent more transparent and trusted. ",
keywords = "AI alignment, behaviour support agent, conversational agent, human values, responsible AI",
author = "Chen, {Pei Yu}",
year = "2022",
doi = "10.1145/3514094.3539531",
language = "English",
series = "AIES 2022 - Proceedings of the 2022 AAAI/ACM Conference on AI, Ethics, and Society",
publisher = "Association for Computing Machinery (ACM)",
pages = "894",
booktitle = "AIES 2022 - Proceedings of the 2022 AAAI/ACM Conference on AI, Ethics, and Society",
address = "United States",
note = "5th AAAI/ACM Conference on Artificial Intelligence, Ethics, and Society, AIES 2022 ; Conference date: 01-08-2022 Through 03-08-2022",
}