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AAAI Conference on Artificial Intelligence · 会议 · Artificial Intelligence

共收录 9572
2408.01446 2024-08-06 cs.CY cs.AI cs.CV cs.LG

Estimating Environmental Cost Throughout Model's Adaptive Life Cycle

Vishwesh Sangarya, Richard Bradford, Jung-Eun Kim

Comments Accepted in the AAAI/ACM Conference on Artificial Intelligence, Ethics, and Society, 2024

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2407.14779 2024-08-06 cs.CY cs.AI cs.HC

Do Generative AI Models Output Harm while Representing Non-Western Cultures: Evidence from A Community-Centered Approach

Sourojit Ghosh, Pranav Narayanan Venkit, Sanjana Gautam, Shomir Wilson, Aylin Caliskan

Comments This is the pre-peer reviewed version, which has been accepted at the 7th AAAI ACM Conference on AI, Ethics, and Society, Oct. 21, 2024, California, USA

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2305.10510 2024-08-06 cs.CY cs.AI cs.CL

ChatGPT Perpetuates Gender Bias in Machine Translation and Ignores Non-Gendered Pronouns: Findings across Bengali and Five other Low-Resource Languages

Sourojit Ghosh, Aylin Caliskan

Comments 12 pages, 9 figures, Upcoming Publication in AAAI/ACM Conference on AI, Ethics, and Society 2023

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2408.01089 2024-08-05 cs.CV

Prototypical Partial Optimal Transport for Universal Domain Adaptation

Yucheng Yang, Xiang Gu, Jian Sun

Journal ref Proceedings of the AAAI Conference on Artificial Intelligence, 37(9), 10852-10860 (2023)

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2408.00880 2024-08-05 cs.CY

Annotator in the Loop: A Case Study of In-Depth Rater Engagement to Create a Bridging Benchmark Dataset

Sonja Schmer-Galunder, Ruta Wheelock, Scott Friedman, Alyssa Chvasta, Zaria Jalan, Emily Saltz

Comments Accepted Paper at AAAI/ACM Artificial Intelligence, Ethics, and Society (AIES)

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2408.00821 2024-08-05 cs.CY

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

Daniel Carpenter, Carson Ezell

Comments Accepted to Seventh AAAI/ACM Conference on AI, Ethics, and Society (2024)

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2407.11733 2024-08-02 cs.CL

How Are LLMs Mitigating Stereotyping Harms? Learning from Search Engine Studies

Alina Leidinger, Richard Rogers

Comments Accepted at AAAI/ACM AI, Ethics, and Society

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2401.14832 2024-08-02 cs.CV

Text Image Inpainting via Global Structure-Guided Diffusion Models

Shipeng Zhu, Pengfei Fang, Chenjie Zhu, Zuoyan Zhao, Qiang Xu, Hui Xue

Comments Accepted by AAAI-24

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2407.20653 2024-07-31 cs.CV cs.AI cs.LG

FACL-Attack: Frequency-Aware Contrastive Learning for Transferable Adversarial Attacks

Hunmin Yang, Jongoh Jeong, Kuk-Jin Yoon

Comments Accepted to AAAI 2024, Project Page: https://FACL-Attack.github.io

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2407.19646 2024-07-30 cs.AI cs.CV

Foundations for Unfairness in Anomaly Detection -- Case Studies in Facial Imaging Data

Michael Livanos, Ian Davidson

Comments 16 pages, 8 figures, AAAI/ACM AIES24

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2407.19099 2024-07-30 cs.CY cs.CE cs.IR

Sponsored is the New Organic: Implications of Sponsored Results on Quality of Search Results in the Amazon Marketplace

Abhisek Dash, Saptarshi Ghosh, Animesh Mukherjee, Abhijnan Chakraborty, Krishna P. Gummadi

Comments This work has been accepted as a full paper in AAAI/ACM conference on Artificial Intelligence, Ethics and Society (AIES) 2024

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2405.09679 2024-07-30 cs.CL cs.AI

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

Julia Barnett, Kimon Kieslich, Nicholas Diakopoulos

Comments To be published in the proceedings of the Seventh AAAI/ACM Conference on AI, Ethics, and Society

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2405.03855 2024-07-30 cs.CY

Strategies for Increasing Corporate Responsible AI Prioritization

Angelina Wang, Teresa Datta, John P. Dickerson

Comments AAAI/ACM Conference on AI, Ethics, and Society (AIES) 2024

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2404.08699 2024-07-30 cs.CL cs.AI cs.LG

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

Comments AIES '24: Proceedings of the 2024 AAAI/ACM Conference on AI, Ethics, and Society

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2309.10254 2024-07-30 cs.CR cs.AI cs.CL cs.CY cs.LG

LLM Platform Security: Applying a Systematic Evaluation Framework to OpenAI's ChatGPT Plugins

Umar Iqbal, Tadayoshi Kohno, Franziska Roesner

Comments To appear in the proceedings of the 7th AAAI / ACM Conference on AI, Ethics, and Society (AIES), October 2024

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2201.03019 2024-07-30 cs.LG cs.AI

Robust and Resource-Efficient Data-Free Knowledge Distillation by Generative Pseudo Replay

Kuluhan Binici, Shivam Aggarwal, Nam Trung Pham, Karianto Leman, Tulika Mitra

Comments AAAI Conference on Artificial Intelligence

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2407.18900 2024-07-29 cs.SI

How Polarized are Online Conversations about Childhood?

Breanna E. Green, William R. Hobbs

Comments Accepted for publication in the International AAAI Conference on Web and Social Media (ICWSM) 2025

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2407.15810 2024-07-29 cs.CV cs.CY

Breaking the Global North Stereotype: A Global South-centric Benchmark Dataset for Auditing and Mitigating Biases in Facial Recognition Systems

Siddharth D Jaiswal, Animesh Ganai, Abhisek Dash, Saptarshi Ghosh, Animesh Mukherjee

Comments This work has been accepted for publication at AAAI/ACM AIES 2024

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2402.07039 2024-07-29 cs.AI cs.CR cs.CY

Coordinated Flaw Disclosure for AI: Beyond Security Vulnerabilities

Sven Cattell, Avijit Ghosh, Lucie-Aimée Kaffee

Comments Accepted to the 7th AAAI Conference on AI, Ethics, and Society (AIES) 2024

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2404.09302 2024-07-26 cs.LG cs.AI cs.DC

High Significant Fault Detection in Azure Core Workload Insights

Pranay Lohia, Laurent Boue, Sharath Rangappa, Vijay Agneeswaran

Comments Published in IAAI 2024, which is the Industrial track of AAAI 2024

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2407.17459 2024-07-25 cs.LG cs.CY

Hidden or Inferred: Fair Learning-To-Rank with Unknown Demographics

Oluseun Olulana, Kathleen Cachel, Fabricio Murai, Elke Rundensteiner

Comments This paper has been accepted by AAAI/AIES to the AIES 2024 conference

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2309.16452 2024-07-25 cs.LG

On the Trade-offs between Adversarial Robustness and Actionable Explanations

Satyapriya Krishna, Chirag Agarwal, Himabindu Lakkaraju

Comments Accepted in the 7th AAAI Conference on AI, Ethics, and Society, 2024

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2407.16164 2024-07-24 cs.LG cs.AI cs.CR cs.CV

Representation Magnitude has a Liability to Privacy Vulnerability

Xingli Fang, Jung-Eun Kim

Comments Accepted in the AAAI/ACM Conference on Artificial Intelligence, Ethics, and Society, 2024

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2407.16014 2024-07-24 cs.SI

Political Elites in the Attention Economy: Visibility Over Civility and Credibility?

Ahana Biswas, Yu-Ru Lin, Yuehong Cassandra Tai, Bruce A. Desmarais

Comments Accepted for publication in the International AAAI Conference on Web and Social Media (ICWSM) 2025

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2312.08224 2024-07-23 cs.AI cs.LG

GLOP: Learning Global Partition and Local Construction for Solving Large-scale Routing Problems in Real-time

Haoran Ye, Jiarui Wang, Helan Liang, Zhiguang Cao, Yong Li, Fanzhang Li

Comments Accepted at AAAI 2024

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2312.15566 2024-07-22 stat.ML cs.LG

Deep Copula-Based Survival Analysis for Dependent Censoring with Identifiability Guarantees

Weijia Zhang, Chun Kai Ling, Xuanhui Zhang

Comments To appear in AAAI 2024

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2407.12440 2024-07-18 cs.LG

GraphGuard: Contrastive Self-Supervised Learning for Credit-Card Fraud Detection in Multi-Relational Dynamic Graphs

Kristófer Reynisson, Marco Schreyer, Damian Borth

Comments 8 pages, 1 figure, 2 tables, preprint version, presented at AAAI 2024 Workshop on AI in Finance for Social Impact

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2312.12651 2024-07-18 cs.SI

Toxic Bias: Perspective API Misreads German as More Toxic

Gianluca Nogara, Francesco Pierri, Stefano Cresci, Luca Luceri, Petter Törnberg, Silvia Giordano

Comments 12 pages, 12 figures. Please check and cite the published version of this paper in the Proceedings of the 19th AAAI International Conference on Web and Social Media (ICWSM'25)

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2312.10983 2024-07-18 cs.CV

MatchDet: A Collaborative Framework for Image Matching and Object Detection

Jinxiang Lai, Wenlong Wu, Bin-Bin Gao, Jun Liu, Jiawei Zhan, Congchong Nie, Yi Zeng, Chengjie Wang

Journal ref AAAI 2024

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2303.09281 2024-07-18 cs.CV

SpatialFormer: Semantic and Target Aware Attentions for Few-Shot Learning

Jinxiang Lai, Siqian Yang, Wenlong Wu, Tao Wu, Guannan Jiang, Xi Wang, Jun Liu, Bin-Bin Gao, Wei Zhang, Yuan Xie, Chengjie Wang

Journal ref AAAI 2023

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