yusuke1997/dblp-id-title huggingface dataset:
Factoring the Matrix of Domination: A Critical Review and Reimagination of Intersectionality in AI Fairness
From Explanation to Recommendation: Ethical Standards for Algorithmic Recourse
Meritocratic Fairness for Infinite and Contextual Bandits
Navigating the Limits of AI Explainability: Designing for Novice Technology Users in Low-Resource Settings
Risk Assessments and Fairness Under Missingness and Confounding
Modeling Epistemological Principles for Bias Mitigation in AI Systems: An Illustration in Hiring Decisions
Causal Framework of Artificial Autonomous Agent Responsibility
Counterfactual Fairness in Text Classification through Robustness
The Theory, Practice, and Ethical Challenges of Designing a Diversity-Aware Platform for Social Relations
Making Sense of Digital Domination
Data Augmentation for Discrimination Prevention and Bias Disambiguation
Beyond Reasonable Doubt: Improving Fairness in Budget-Constrained Decision Making using Confidence Thresholds
AI Ethics for Creativity
American == White in Multimodal Language-and-Image AI
The Danger of Citizen Domination through Algorithmic Decision-Making in the Public Sector
Impacts on Trust of Healthcare AI
Scaling Laws Do Not Scale
Taking Advantage of Multitask Learning for Fair Classification
Evaluating the Impact of Social Determinants on Health Prediction in the Intensive Care Unit
Trade-offs in Fair Redistricting
Assessing Post-hoc Explainability of the BKT Algorithm
Beyond Near- and Long-Term: Towards a Clearer Account of Research Priorities in AI Ethics and Society
Are Model Explanations Useful in Practice? Rethinking How to Support Human-ML Interactions
Speed And Accuracy Are Not Enough! Trustworthy Machine Learning
A Computational Model of Commonsense Moral Decision Making
Towards an "Ethics by Design" Methodology for AI Research Projects
Diversity and Inclusion Metrics in Subset Selection
Decolonial AI Alignment: Openness, Visesa-Dharma, and Including Excluded Knowledges
Inferring Work Task Automatability from AI Expert Evidence
Algorithmic Greenlining: An Approach to Increase Diversity
Risks from Language Models for Automated Mental Healthcare: Ethics and Structure for Implementation (Extended Abstract)
Reconfiguring Diversity and Inclusion for AI Ethics
Towards Unbiased and Accurate Deferral to Multiple Experts
Arbiter: A Domain-Specific Language for Ethical Machine Learning
Enhancing Equitable Access to AI in Housing and Homelessness System of Care through Federated Learning
Strategic Best Response Fairness in Fair Machine Learning
Dynamics of Moral Behavior in Heterogeneous Populations of Learning Agents
Non-linear Welfare-Aware Strategic Learning
An Axiomatic Approach to Explain Computer Generated Decisions: Extended Abstract
A Step Toward More Inclusive People Annotations for Fairness
Requirements for an Artificial Agent with Norm Competence
Do Humans Trust Advice More if it Comes from AI?: An Analysis of Human-AI Interactions
From Preference Elicitation to Participatory ML: A Critical Survey & Guidelines for Future Research
Social and Governance Implications of Improved Data Efficiency
Exciting, Useful, Worrying, Futuristic: Public Perception of Artificial Intelligence in 8 Countries
Justice Beyond Utility in Artificial Intelligence
Benchmarked Ethics: A Roadmap to AI Alignment, Moral Knowledge, and Control
Software Malpractice in the Age of AI: A Guide for the Wary Tech Company
Human Uncertainty in Concept-Based AI Systems
Schools of AI in the Public Sector: Fairness and Accountability Concerns
Multiaccuracy: Black-Box Post-Processing for Fairness in Classification
Legal, Ethical, Customizable Artificial Intelligence
Proposal for Type Classification for Building Trust in Medical Artificial Intelligence Systems
Sociotechnical Harms of Algorithmic Systems: Scoping a Taxonomy for Harm Reduction
Conservative Agency via Attainable Utility Preservation
Do Generative AI Models Output Harm while Representing Non-Western Cultures: Evidence from A Community-Centered Approach
Activism by the AI Community: Analysing Recent Achievements and Future Prospects
Dataset Scale and Societal Consistency Mediate Facial Impression Bias in Vision-Language AI
Gender, Race, and Intersectional Bias in Resume Screening via Language Model Retrieval
How Algorithms Shape the Distribution of Political Advertising: Case Studies of Facebook, Google, and TikTok
As an AI Language Model, "Yes I Would Recommend Calling the Police": Norm Inconsistency in LLM Decision-Making
Measuring Model Biases in the Absence of Ground Truth
The Implications of Open Generative Models in Human-Centered Data Science Work: A Case Study with Fact-Checking Organizations
Decoding Global AI Governance: A Computational Linguistic Analysis of National Regulations
Constructing Meaningful Explanations: Logic-based Approaches
Fair Forests: Regularized Tree Induction to Minimize Model Bias
Advancing Health Equity with Machine Learning
Developing Artificial Intelligence for Good: Interdisciplinary Research Collaborations and the Making of Ethical AI
On the Privacy Risks of Model Explanations
The Ethico-Politics of Design Toolkits: Responsible AI Tools, From Big Tech Guidelines to Feminist Ideation Cards (Extended Abstract)
Minimax Group Fairness: Algorithms and Experiments
Explanatory Dialogs: Towards Actionable, Interactive Explanations
Designing Disaggregated Evaluations of AI Systems: Choices, Considerations, and Tradeoffs
Model Debiasing via Gradient-based Explanation on Representation
Ethical Implementation of Artificial Intelligence to Select Embryos in In Vitro Fertilization
Perception of Experience Influences Altruism and Perception of Agency Influences Trust in Human-Machine Interactions (Extended Abstract)
The Ethics of Datasets: Moving Forward Requires Stepping Back
Making Human-Like Moral Decisions
Artificial Concepts of Artificial Intelligence: Institutional Compliance and Resistance in AI Startups
SoUnD Framework: Analyzing (So)cial Representation in (Un)structured (D)ata
Counterfactual Explanations for Prediction and Diagnosis in XAI
Modeling Risk and Achieving Algorithmic Fairness Using Potential Outcomes
What's up with Privacy?: User Preferences and Privacy Concerns in Intelligent Personal Assistants
Ethically Compliant Planning within Moral Communities
Envisioning Communities: A Participatory Approach Towards AI for Social Good
PICE: Polyhedral Complex Informed Counterfactual Explanations
Toward Non-Intuition-Based Machine and Artificial Intelligence Ethics: A Deontological Approach Based on Modal Logic
AI Alignment and Human Reward
What Is Required for Empathic AI? It Depends, and Why That Matters for AI Developers and Users
AI Risk Mitigation Through Democratic Governance: Introducing the 7-Dimensional AI Risk Horizon
Judging Instinct Exploitation in Statistical Data Explanations Based on Word Embedding
On Serving Two Masters: Directing Critical Technical Practice towards Human-Compatibility in AI
Unmasking Nationality Bias: A Study of Human Perception of Nationalities in AI-Generated Articles
Diffusing the Creator: Attributing Credit for Generative AI Outputs
Fairness via Explanation Quality: Evaluating Disparities in the Quality of Post hoc Explanations
Democratising AI: Multiple Meanings, Goals, and Methods
"How do I fool you?": Manipulating User Trust via Misleading Black Box Explanations
Exploring AI Futures Through Role Play
Quantum Fair Machine Learning
A Relational Justification of AI Democratization
The Ethical Implications of Generative Audio Models: A Systematic Literature Review
Rightful Machines and Dilemmas
AI Alignment Dialogues: An Interactive Approach to AI Alignment in Support Agents
AI and Holistic Review: Informing Human Reading in College Admissions
The Deepfake Detection Dilemma: A Multistakeholder Exploration of Adversarial Dynamics in Synthetic Media
Long-term Dynamics of Fairness Intervention in Connection Recommender Systems
A Formal Approach to Explainability
Algorithmic Bias: When stigmatization becomes a perception: The stigmatized become endangered
Measuring Group Advantage: A Comparative Study of Fair Ranking Metrics
Auditing Algorithms: On Lessons Learned and the Risks of Data Minimization
Co-design and Ethical Artificial Intelligence for Health: Myths and Misconceptions
"Scary Robots": Examining Public Responses to AI
LLMs and Memorization: On Quality and Specificity of Copyright Compliance
From Bad Users and Failed Uses to Responsible Technologies: A Call to Expand the AI Ethics Toolkit
Speaking on Behalf of: Representation, Delegation, and Authority in Computational Text Analysis
Ethical Principles for Reasoning about Value Preferences
The Main Challenges of AI Ethics: Historical Contextualization, Black-Boxing, Social Biases, Labor Invisibility
Foregrounding Artist Opinions: A Survey Study on Transparency, Ownership, and Fairness in AI Generative Art
Transparency and Explanation in Deep Reinforcement Learning Neural Networks
Ordinary People as Moral Heroes and Foes: Digital Role Model Narratives Propagate Social Norms in China's Social Credit System
Fairness in Agreement With European Values: An Interdisciplinary Perspective on AI Regulation
Outlier Detection Bias Busted: Understanding Sources of Algorithmic Bias through Data-centric Factors
Towards a Just Theory of Measurement: A Principled Social Measurement Assurance Program for Machine Learning
Exploring the Moral Value of Explainable Artificial Intelligence Through Public Service Postal Banks
Why Am I Still Seeing This: Measuring the Effectiveness of Ad Controls and Explanations in AI-Mediated Ad Targeting Systems
Human Trust Measurement Using an Immersive Virtual Reality Autonomous Vehicle Simulator
Guiding Prosecutorial Decisions with an Interpretable Statistical Model
FaiR-N: Fair and Robust Neural Networks for Structured Data
Adaptive Adversarial Training Does Not Increase Recourse Costs
A Deontic Logic for Programming Rightful Machines
Joint Optimization of AI Fairness and Utility: A Human-Centered Approach
Generating Appropriate Responses to Inappropriate Robot Commands
Putting Fairness Principles into Practice: Challenges, Metrics, and Improvements
Emergent Unfairness in Algorithmic Fairness-Accuracy Trade-Off Research
Machine Learning and the Meaning of Equal Treatment
Semantics Derived Automatically from Language Corpora Contain Human-like Moral Choices
Strategies for Increasing Corporate Responsible AI Prioritization
Ethical Challenges in Data-Driven Dialogue Systems
FairOD: Fairness-aware Outlier Detection
Surveys Considered Harmful? Reflecting on the Use of Surveys in AI Research, Development, and Governance
On the Connection between Game-Theoretic Feature Attributions and Counterfactual Explanations
Invisible Influence: Artificial Intelligence and the Ethics of Adaptive Choice Architectures
Flickr Africa: Examining Geo-Diversity in Large-Scale, Human-Centric Visual Data
Ontology of Belief Diversity: A Community-Based Epistemological Approach
Preserving Our Mental Autonomy: Freedom of Thought in the Speech 4.0 Era
Active Fairness in Algorithmic Decision Making
Actionable Auditing: Investigating the Impact of Publicly Naming Biased Performance Results of Commercial AI Products
Hard Choices and Hard Limits in Artificial Intelligence
Estimating Weights of Reasons Using Metaheuristics: A Hybrid Approach to Machine Ethics
Medical AI, Categories of Value Conflict, and Conflict Bypasses
"Democratizing AI" and the Concern of Algorithmic Injustice (Extended Abstract)
Machines Judging Humans: The Promise and Perils of Formalizing Evaluative Criteria
Artificial Intelligence's Impact on Mental Health Treatments
How to Put the Data Subject's Sovereignty into Practice. Ethical Considerations and Governance Perspectives
The Value of Trustworthy AI
Achievement and Fragility of Long-term Equitability
Algorithmic Audit of Italian Car Insurance: Evidence of Unfairness in Access and Pricing
A Conceptual Framework for Ethical Evaluation of Machine Learning Systems
Legitimating Emotion Tracking Technologies in Driver Monitoring Systems
The Bureaucratic Challenge to AI Governance: An Empirical Assessment of Implementation at U.S. Federal Agencies
How Technological Advances Can Reveal Rights
Exploiting Moral Values to Choose the Right Norms
Towards Robust Off-Policy Evaluation via Human Inputs
A Human-in-the-Loop Fairness-Aware Model Selection Framework for Complex Fairness Objective Landscapes
Towards formalizing and assessing AI fairness
Identifying Implicit Social Biases in Vision-Language Models
Building Jiminy Cricket: An Architecture for Moral Agreements Among Stakeholders
Moral Disagreement and Artificial Intelligence
Racial Disparities in the Enforcement of Marijuana Violations in the US
Supporting Human-AI Collaboration in Auditing LLMs with LLMs
Blind Justice: Algorithmically Masking Race in Charging Decisions
Multicalibrated Regression for Downstream Fairness
Generative Models for Art and Society
An Autonomous Architecture that Protects the Right to Privacy
A Framework for Benchmarking Discrimination-Aware Models in Machine Learning
Framing Artificial Intelligence in American Newspapers
The Need For Inclusive NLP: Addressing Sociodemographic Bias and Enhancing Sociotechnical Systems through Interdisciplinary Frameworks
Public vs Private Bodies: Who Should Run Advanced AI Evaluations and Audits? A Three-Step Logic Based on Case Studies of High-Risk Industries
Companion Robots: the Hallucinatory Danger of Human-Robot Interactions
Disparate Impact of Artificial Intelligence Bias in Ridehailing Economy's Price Discrimination Algorithms
Tree-Based Approaches for Interpretable Modeling in Healthcare
Robots Can Be More Than Black And White: Examining Racial Bias Towards Robots
Why We Need to Know More: Exploring the State of AI Incident Documentation Practices
The Right To Confront Your Accusers: Opening the Black Box of Forensic DNA Software
Good Explanation for Algorithmic Transparency
Red-Teaming for Generative AI: Silver Bullet or Security Theater?
Diversity by Design?: Balancing the Inclusion and Protection of Users in an Online Social Platform
A Coupling Support Vector Machines with the Feature Learning of Deep Convolutional Neural Networks for Classifying Microarray Gene Expression Data
Fairness in Culturally Dependent Waiting Behavior: Cultural Influences on Social Communication in Simulated Crowds
k-Means Clustering on Pre-calculated Distance-Based Nearest Neighbor Search for Image Search
Motif-Based Analysis of Social Position Influence on Interconnection Patterns in Complex Social Network
Modeling and Features Extraction of Heel Bone Fracture Reparation Dynamical Process from X-Ray Images Based on Time Iteration Segmentation Model Driven by Gaussian Energy
Automatic Video Editor for Reportages Assisted by Unsupervised Machine Learning
Potential Topics Discovery from Topic Frequency Transition with Semi-supervised Learning
A Legal Information Retrieval System for Statute Law
Prompts De-Biasing Augmentation to Mitigate Gender Stereotypes in Large Language Models
Big Data Filtering Through Adaptive Resonance Theory
A Decision Support System for Improving Lung Cancer Prediction Based on ANN
Rainfall Estimation in Weather Radar Using Support Vector Machine
Merging Possibilistic Belief Bases by Argumentation
Cached Embedding with Random Selection: Optimization Technique to Improve Training Speed of Character-Aware Embedding
Agents of RUP Processes Model for IT Organizations Readiness to Agile Transformation Assessment
Correction of the Eye Fundus Blood Vessels Images
Using Eyetracking in a Mobile Applications Usability Testing
Rough Set Data Mining Algorithms and Pursuit Eye Movement Measurements Help to Predict Symptom Development in Parkinson's Disease
A Predicate Suggestion Algorithm for Automated Theorem Finding with Forward Reasoning
Knowledge in Asynchronous Social Group Communication
Machine Learning Algorithms Comparison for Hand sEMG-Recorded Movements Classification
Improving Traffic Signs Recognition Based Region Proposal and Deep Neural Networks
Solving a Malleable Jobs Scheduling Problem to Minimize Total Weighted Completion Times by Mixed Integer Linear Programming Models
Graph-Based Optimization of Public Lighting Retrofit
Speed-Up 3D Human Pose Estimation Task Using Sub-spacing Approach
A Method for Query Top-K Rules from Class Association Rule Set
DC Programming and DCA for Portfolio Optimization with Linear and Fixed Transaction Costs
Partial Orderings for Ranking Help Functions
Simulating Emergency Departments Using Generalized Petri Nets
GAB-EPA: A GA Based Ensemble Pruning Approach to Tackle Multiclass Imbalanced Problems
Improving Traffic Sign Detection Using Synthetic Data and Automatic Labeling
Non-uniform Initialization of Inputs Groupings in Contextual Neural Networks
Modeling Radio Resource Allocation Scheme with Fixed Transmission Zones for Multiservice M2M Communications in Wireless IoT Infrastructure
Using Bees Hill Flux Balance Analysis (BHFBA) for in silico Microbial Strain Optimization
Lecture Video Summarization Using Deep Learning
Developing a Competitive HMM Arabic POS Tagger Using Small Training Corpora
Investments Decision Making on the Basis of System Dynamics
An Enhanced CNN Model on Temporal Educational Data for Program-Level Student Classification
Model of the Information System in the Organization for Controlling Current Level of Information Security
The Temporal Supplier Evaluation Model Based on Multicriteria Decision Analysis Methods
A Bidirectional Transformation Supporting Tool for Formalization with Logical Formulas
An Efficient Algorithm for a New Constrained LCS Problem
Common-Knowledge and KP-Model
Increasing the Efficiency of GPU-Based HOG Algorithms Through Tile-Images
Finding the Cluster of Actors in Social Network Based on the Topic of Messages
Dependence Factor for Association Rules
Forecasting Stock Trend Based on the Constructed Anomaly-Patterns Based Decision Tree
Adaptive Scheme of Clustering-Based Unsupervised Learning for Person Re-identification
A Machine Learning Based Technique for Detecting Digital Image Resampling
Control of Smart Environments Using Brain Computer Interface Based on Genetic Algorithm
A Method for Improving the Quality of Collective Knowledge
A New Approach for Measuring the Influence of Users on Twitter
Intelligent Information and Database Systems - 7th Asian Conference, ACIIDS 2015, Bali, Indonesia, March 23-25, 2015, Proceedings, Part II
Adaptive Cumulative Voting-Based Aggregation Algorithm for Combining Multiple Clusterings of Chemical Structures
Efficiently Mining High Average Utility Itemsets with a Tree Structure
A Neural Network Optimization-Based Method of Image Reconstruction from Projections
Philippine Lime (Calamansi) Disease Detection and Classification Using YOLOv8 Model
Anomaly Detection Procedures in a Real World Dataset by Using Deep-Learning Approaches
Hybrid Fuzzy Clustering Using L P Norms
A Novel Algorithm for Mining High Utility Itemsets
Forecasting Residential Real Estate Prices Using Deep Learning
Optimisation of Query Processing with Multilevel Storage
Optimizing Neural Topic Modeling Pipelines for Low-Quality Speech Transcriptions
Self-Organizing Map Representation for Clustering Wikipedia Search Results
Assessment and Optimization of Air Monitoring Network for Smart Cities with Multicriteria Decision Analysis
Towards Efficient Discovery of Partial Periodic Patterns in Columnar Temporal Databases
An Analysis of the Centre of Mass Behavior During Treadmill Walking
Travel Password: A Secure and Memorable Password Scheme
RECALL: Towards Generalized Representations in Unsupervised Federated Learning Under Non-IID Conditions
Segment Counting Versus Prime Counting in the Ulam Square
Localization System for Wheeled Vehicles Operating in Underground Mine Based on Inertial Data and Spatial Intersection Points of Mining Excavations
Investigating the Issues of Using Agile Methods in Offshore Software Development in Sri Lanka
Kinect-Based Action Recognition in a Meeting Room Environment
A Hybrid ICA/PSO Algorithm by Adding Independent Countries for Large Scale Global Optimization
A Semantically Enhanced Tag-Based Music Recommendation Using Emotion Ontology
Early Detection of Coronary Artery Diseases Using Endocrine Markers
A Weighted Approach for Class Association Rules
Data Sets for Offline Evaluation of Scholar's Recommender System
Exploring the Impact of Object Diversity on Classification Quality in Dispersed Data Environments
The Functionalities of Cognitive Technology in Management Control System
Automatic Detection and Classification of Brain Hemorrhages
Algorithm to Determine Longest Common Subsequences of Two Finite Languages
KDVGG-Lite: A Distilled Approach for Enhancing the Accuracy of Image Classification
Estimation of Distribution Algorithms with Overlapped Subpopulations
Jaccard Distance Under Incompleteness
Usability Testing of a Responsive Web System for a School for Disabled Children
A Fuzzy Logic Based Network Intrusion Detection System for Predicting the TCP SYN Flooding Attack
Thematic Analysis by Discovering Diffusion Patterns in Social Media: An Exploratory Study with TweetScope
Social Multi-role Discovering with Hypergraph Embedding for Location-Based Social Networks
Exploration of Soft Computing Models for the Valuation of Residential Premises Using the KEEL Tool
XLMRQA: Open-Domain Question Answering on Vietnamese Wikipedia-Based Textual Knowledge Source
Contextual Labeling 3D Point Clouds with Conditional Random Fields
Adapting Code-Switching Language Models with Statistical-Based Text Augmentation
Similarity Search in Streaming Time Series Based on MP_C Dimensionality Reduction Method
The Effectiveness of the Simplicity in Evolutionary Computation
Design Recovery of Data Model Hidden in JSON File
Error Investigation of Pre-trained BERTology Models on Vietnamese Natural Language Inference
Comparison of Gene Co-expression Networks and Bayesian Networks
Low Computational Aggregation Method for Time Series Forecasting
Representative Rule Templates for Association Rules Satisfying Multiple Canonical Evaluation Criteria
A New Method for Job Scheduling in Two-Levels Hierarchical Systems
Competence Region Modelling in Relational Classification
Prediction of Rainfall Time Series Using Modular RBF Neural Network Model Coupled with SSA and PLS
Hierarchical Evolutionary Multi-biclustering - Hierarchical Structures of Biclusters Generation
Applications of Fuzzy Inference System on V2V Routing in Vehicular Networks
Collinearity Models in the Eigenvalue Problem
Using Chance Discovery in Recruiting Strategies to Explore Potential Students in Taiwan
Using Machine Learning Algorithms to Explore Listeners Musical Tastes
MLP-Mixer Approach for Corn Leaf Diseases Classification
Measuring Propagation Phenomena in Social Networks: Promising Directions and Open Issues
Real-Time Multiple Faces Tracking with Moving Camera for Support Service Robot
Moral Hazard Resolved by Common-Knowledge in S5n Logic
A DCA Based Algorithm for Feature Selection in Model-Based Clustering
Using AI Approach to Solve an Integrated Three-Echelon Supply Chain Model with Strategic Alliances
Enhancing Scholarly Paper Recommendation by Modelling Diversity of Research Interests
Classification of Plantar Dermatoglyphic Patterns for the Diagnosis of Down's Syndrome
Facial Ethnicity Recognition Based on a New Joint Loss Function
Big Data in Contemporary Linguistic Research. In Search of Optimum Methods for Language Chronologization
A Survey of Spatio-Temporal Database Research
Reaching Safety Vehicular Ad Hoc Network of IoT
Blockchain-Based Decentralized Digital Content Management and Sharing System
A Stock Selective System by Using Hybrid Models of Classification
HEp-2 Cell Images Classification Based on Textural and Statistic Features Using Self-Organizing Map
Short Text Clustering Using Generalized Dirichlet Multinomial Mixture Model
Evaluation of the Effectiveness of Ranking Methods in Detecting Feature Drift in Artificial and Real Data
Automatic Counting of People Entering and Leaving Based on Dominant Colors and People Silhouettes
Detection and Dynamical Tracking of Temperature Facial Distribution Caused by Alcohol Intoxication with Using of Modified OTSU Regional Segmentation
Identification of Users in a Gambling Problem with the Use of Machine Learning
Clustering Count Data with Stochastic Expectation Propagation