Added ICTAI2023 publication

Still missing the DOI, HAL link (and eventually link to IEEE, depending on the conference proceedings).

content/publication/ictai2023/index.md

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+title = "Learning to identify and settle dilemmas through contextual user preferences"
+date = 2023-11-06
+authors = ["Rémy Chaput", "Laetitia Matignon", "Mathieu Guillermin"]
+profile = false
+
+publication_types = ["1"]
+publication = "*The 35th IEEE International Conference on Tools with Artificial Intelligence (ICTAI)*"
+publication_short = "ICTAI2023"
+
+abstract = """
+Artificial Intelligence systems have a significant impact on human lives.
+Machine Ethics tries to align these systems with human values, by integrating
+"ethical considerations". However, most approaches consider a single objective,
+and thus cannot accommodate different, contextual human preferences.
+Multi-Objective Reinforcement Learning algorithms account for various preferences,
+but they often are not intelligible nor contextual (e.g., weighted preferences).
+Our novel approach identifies dilemmas, presents them to users, and learns to
+settle them, based on intelligible and contextualized preferences over actions.
+We intend to maximize understandability and opportunities for user-system
+co-construction by showing dilemmas, and triggering interactions, thus empowering
+users. The block-based architecture enables leveraging simple mechanisms that
+can be updated and improved. Validation on a Smart Grid use-case shows that our
+algorithm finds actions for various trade-offs, and quickly learns to settle
+dilemmas, reducing the cognitive load on users.
+"""
+
+summary = """
+This paper presents a novel Multi-Objective Reinforcement Learning approach to
+settle dilemmas, by putting humans in the loop.
+"""
+
+tags = ["Machine Ethics", "Multi-Objective Reinforcement Learning", "Moral Dilemmas",
+"Human Preferences"]
+featured = false
+
+url_pdf = "Chaput_Learning_identify_settle_dilemmas_paper.pdf"
+
+url_slides = "Chaput_Learning_identify_settle_dilemmas_slides.pdf"
+
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