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ORCIDAIES 2024: San Jose, CA, USA
- Sanmay Das, Brian Patrick Green:
Proceedings of the Seventh AAAI/ACM Conference on AI, Ethics, and Society (AIES-24) - Student Abstracts, October 21-23, 2024, San Jose, California, USA - Volume 2. AAAI Press 2025
Student Abstracts
- Aisha Aijaz:
Bridging Ethics and AI: A Path to Moral Machines. 2-4 - Pinar Barlas:
Data Cleaning, Discard Studies, and Discretionary Power. 5-7 - Tatiana Chakravorti:
Enhancing Transparency and Research Ethics through Human AI Techniques. 8-10 - Marc T. J. Elliott:
Schools of AI in the Public Sector: Fairness and Accountability Concerns. 11-13 - Prakhar Ganesh:
Model Multiplicity for Responsible AI. 14-17 - Alayt Abraham Issak:
AI Ethics for Creativity. 18-20 - Siddharth D. Jaiswal:
Uncovering Gender Biases in Human-AI Platforms. 21-22 - Konstantinos Konstantis:
The Main Challenges of AI Ethics: Historical Contextualization, Black-Boxing, Social Biases, Labor Invisibility. 23-25 - Zhaobin Li:
Enhancing Human-AI Collaboration through Adaptive Interaction and Explainability. 26-27 - Carmen Loefflad:
Automated Decision-Making Systems for Behavioral Regulation: Understanding Perceptions and Behavioral Reactions. 28-31 - Jonne Maas:
Making Sense of Digital Domination. 32-34 - Takuya Maeda:
Misplaced Capabilities: Evaluating the Risks of Anthropomorphism in Human-AI Interactions. 35-36 - Juliette Murris:
Tree-Based Approaches for Interpretable Modeling in Healthcare. 37-39 - Pranav Narayanan Venkit:
The Need For Inclusive NLP: Addressing Sociodemographic Bias and Enhancing Sociotechnical Systems through Interdisciplinary Frameworks. 40-42 - Ikhtiyor Nematov:
Intent-Aware Example-Based Explainability. 43-46 - Quoc-Toan Nguyen:
Advancing Early Alzheimer's Disease Detection in Underdeveloped Areas with Fair Explainable AI Methods. 47-49 - Simon Schierreich:
Two-Stage Refugee Resettlement Models: Computational Aspects of the Second Stage. 50-51 - Eryclis Silva:
Decoding Global AI Governance: A Computational Linguistic Analysis of National Regulations. 52-54 - Robert Wolfe:
Quantitative and Organizational Approaches to Epistemic Risk in Generative and General-Purpose AI. 55-57 - Yankun Wu:
Generative Models for Art and Society. 58-60
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