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• AIES 2024 Frontmatter

  Sanmay Das, Brian Patrick Green, Kush Varshney, Marianna Ganapini , Andrea Renda

  2024-10-17

• PoliTune: Analyzing the Impact of Data Selection and Fine-Tuning on Economic and Political Biases in Large Language Models

  Ahmed Agiza, Mohamed Mostagir, Sherief Reda

  2-12

  2024-10-16

• All Too Human? Mapping and Mitigating the Risk from Anthropomorphic AI

  Canfer Akbulut, Laura Weidinger, Arianna Manzini, Iason Gabriel, Verena Rieser

  13-26

  2024-10-16

• Estimating Weights of Reasons Using Metaheuristics: A Hybrid Approach to Machine Ethics

  Benoît Alcaraz, Aleks Knoks, David Streit

  27-38

  2024-10-16

• Introducing the AI Governance and Regulatory Archive (AGORA): An Analytic Infrastructure for Navigating the Emerging AI Governance Landscape

  Zachary Arnold, Daniel S. Schiff, Kaylyn Jackson Schiff, Brian Love, Jennifer Melot, Neha Singh, Lindsay Jenkins, Ashley Lin, Konstantin Pilz, Ogadinma Enweareazu, Tyler Girard

  39-48

  2024-10-16

• Understanding Intrinsic Socioeconomic Biases in Large Language Models

  Mina Arzaghi, Florian Carichon, Golnoosh Farnadi

  49-60

  2024-10-16

• Nothing Comes Without Its World – Practical Challenges of Aligning LLMs to Situated Human Values through RLHF

  Anne Arzberger, Stefan Buijsman, Maria Luce Lupetti, Alessandro Bozzon, Jie Yang

  61-73

  2024-10-16

• Kid-Whisper: Towards Bridging the Performance Gap in Automatic Speech Recognition for Children VS. Adults

  Ahmed Adel Attia, Jing Liu, Wei Ai, Dorottya Demszky, Carol Espy-Wilson

  74-80

  2024-10-16

• Public Attitudes on Performance for Algorithmic and Human Decision-Makers (Extended Abstract)

  Kirk Bansak, Elisabeth Paulson

  81-81

  2024-10-16

• Simulating Policy Impacts: Developing a Generative Scenario Writing Method to Evaluate the Perceived Effects of Regulation

  Julia Barnett, Kimon Kieslich, Nicholas Diakopoulos

  82-93

  2024-10-16

• The Origin and Opportunities of Developers’ Perceived Code Accountability in Open Source AI Software Development

  Sebastian Clemens Bartsch, Moritz Lother, Jan-Hendrik Schmidt, Martin Adam, Alexander Benlian

  94-106

  2024-10-16

• Gender in Pixels: Pathways to Non-binary Representation in Computer Vision

  Elena Beretta

  107-119

  2024-10-16

• Legal Minds, Algorithmic Decisions: How LLMs Apply Constitutional Principles in Complex Scenarios

  Camilla Bignotti, Carolina Camassa

  120-130

  2024-10-16

• A Formal Account of Trustworthiness: Connecting Intrinsic and Perceived Trustworthiness

  Piercosma Bisconti, Letizia Aquilino, Antonella Marchetti, Daniele Nardi

  131-140

  2024-10-16

• Unsocial Intelligence: An Investigation of the Assumptions of AGI Discourse

  Borhane Blili-Hamelin, Leif Hancox-Li, Andrew Smart

  141-155

  2024-10-16

• On The Stability of Moral Preferences: A Problem with Computational Elicitation Methods

  Kyle Boerstler, Vijay Keswani, Lok Chan, Jana Schaich Borg, Vincent Conitzer, Hoda Heidari, Walter Sinnott-Armstrong

  156-167

  2024-10-16

• Co-designing an AI Impact Assessment Report Template with AI Practitioners and AI Compliance Experts

  Edyta Bogucka, Marios Constantinides, Sanja Šćepanović, Daniele Quercia

  168-180

  2024-10-16

• Foundation Model Transparency Reports

  Rishi Bommasani, Kevin Klyman, Shayne Longpre, Betty Xiong, Sayash Kapoor, Nestor Maslej, Arvind Narayanan, Percy Liang

  181-195

  2024-10-16

• Ecosystem Graphs: Documenting the Foundation Model Supply Chain

  Rishi Bommasani, Dilara Soylu, Thomas I. Liao, Kathleen A. Creel, Percy Liang

  196-209

  2024-10-16

• Trustworthy Social Bias Measurement

  Rishi Bommasani, Percy Liang

  210-224

  2024-10-16

• Views on AI Aren't Binary — They’re Plural (Extended Abstract)

  Thorin Bristow, Luke Thorburn, Diana Acosta-Navas

  225-225

  2024-10-16

• A Qualitative Study on Cultural Hegemony and the Impacts of AI

  Venetia Brown, Retno Larasati, Aisling Third, Tracie Farrell

  226-238

  2024-10-16

• An FDA for AI? Pitfalls and Plausibility of Approval Regulation for Frontier Artificial Intelligence

  Daniel Carpenter, Carson Ezell

  239-254

  2024-10-16

• Why Am I Still Seeing This: Measuring the Effectiveness of Ad Controls and Explanations in AI-Mediated Ad Targeting Systems

  Jane Castleman, Aleksandra Korolova

  255-266

  2024-10-16

• Coordinated Flaw Disclosure for AI: Beyond Security Vulnerabilities

  Sven Cattell, Avijit Ghosh, Lucie-Aimée Kaffee

  267-280

  2024-10-16