Climbing the Ladder: How Agents Reach Counterfactual Thinking

Caterina Moruzzi

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Paper

Climbing the Ladder: How Agents Reach Counterfactual Thinking

Topics: Agent Models and Architectures; AI and Creativity; Autonomous Systems; Deep Learning; Explainable Artificial Intelligence; Hybrid Intelligent Systems; Machine Learning

In Proceedings of the 14th International Conference on Agents and Artificial Intelligence - Volume 3: ICAART, 555-560, 2022

Author: Caterina Moruzzi

Affiliation: Department of Philosophy, Universität Konstanz, 78457, Konstanz, Germany

Keyword(s): Counterfactuality, Agency, Decision-making, Causal Reasoning, Robustness.

Abstract: We increasingly rely on automated decision-making systems to search for information and make everyday choices. While concerns regarding bias and fairness in machine learning algorithms have high resonance, less addressed is the equally important question of to what extent we are handing our own role of agents over to artificial information-retrieval systems. This paper aims at drawing attention to this issue by considering what agency in decision-making processes amounts to. The main argument that will be proposed is that a system needs to be capable of reasoning in counterfactual terms in order for it to be attributed agency. To reach this step, automated system necessarily need to develop a stable and modular model of their environment.

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Paper citation in several formats:

Moruzzi, C. (2022). Climbing the Ladder: How Agents Reach Counterfactual Thinking. In Proceedings of the 14th International Conference on Agents and Artificial Intelligence - Volume 3: ICAART; ISBN 978-989-758-547-0; ISSN 2184-433X, SciTePress, pages 555-560. DOI: 10.5220/0010857900003116

@conference{icaart22,
author={Caterina Moruzzi.},
title={Climbing the Ladder: How Agents Reach Counterfactual Thinking},
booktitle={Proceedings of the 14th International Conference on Agents and Artificial Intelligence - Volume 3: ICAART},
year={2022},
pages={555-560},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010857900003116},
isbn={978-989-758-547-0},
issn={2184-433X},
}

TY - CONF

JO - Proceedings of the 14th International Conference on Agents and Artificial Intelligence - Volume 3: ICAART
TI - Climbing the Ladder: How Agents Reach Counterfactual Thinking
SN - 978-989-758-547-0
IS - 2184-433X
AU - Moruzzi, C.
PY - 2022
SP - 555
EP - 560
DO - 10.5220/0010857900003116
PB - SciTePress