yusuke1997/dblp-id-title huggingface dataset:
Arpeggio: A Penetration Attack on Glossy Networks
Channel Access Throttling for Improving WLAN QoS
Local sequence based rendezvous algorithms for Cognitive Radio Networks
Unmanned Aerial Vehicle Detection Based on Channel State Information
LAORA: Location-Aware Orientation Adjustment for MIMO Magnetic Wireless Charging System
Shortest Path Routing in Unknown Environments: Is the Adaptive Optimal Strategy Available?
Distributed Linear Parameter Estimation in Sensor Networks based on Laplacian Dynamics Consensus Algorithm
Impacts of SW-ARQ on the Latency and Reliability of Diffusive, In-Sequence Molecular Communication
Fairness and social welfare in incentivizing participatory sensing
ViTag: Online WiFi Fine Time Measurements Aided Vision-Motion Identity Association in Multi-person Environments
Efficiency and Detectability of Random Reactive Jamming in Wireless Networks
QoS-aware Resource Optimization for Hierarchical Cross-Edge Video Analytics
Impact of heterogeneous deployment on lifetime sensing coverage in sensor networks
Securing MAODV: attacks and countermeasures
Orchestrating the Data-Plane of Virtual LTE Core Networks
R-Factor: A New Parameter to Enhance Location Accuracy in RSSI Based Real-time Location Systems
Automating Analytics: How to Learn Metadata Such That Our Buildings Can Learn from Us
A Multi-domain Testbed for Collaborative Research on the IoT-Edge-Cloud Continuum
Network-congestion-aware video streaming: A rest-and-download approach
Minimum Latency Broadcasting in Multi-Radio Multi-Channel Multi-Rate Wireless Meshes
On the Prevalence of Sensor Faults in Real-World Deployments
On scalability and robustness limitations of real and asymptotic confidence bounds in social sensing
D 3 : Abnormal driving behaviors detection and identification using smartphone sensors
On the estimation of available bandwidth in broadband cellular networks
DynamicFL: Balancing Communication Dynamics and Client Manipulation for Federated Learning
Spectrum Opportunity-Based Control Channel Assignment in Cognitive Radio Networks
9th Annual IEEE Communications Society Conference on Sensor, Mesh and Ad Hoc Communications and Networks, SECON 2012, Seoul, Korea (South), June 18-21, 2012
Joint k-Coverage and Hybrid Forwarding in Duty-Cycled Three-Dimensional Wireless Sensor Networks
Sensor Localization with Lateral Inhibition & Statistical Inference
Exploring redundancy in sensor deployment to maximize network lifetime and coverage
Making Sensor Networks Accessible to Undergraduates Through Activity-Based Laboratory Materials
CAS: Crop Aerial Sensing Simulation in Smart Farming
Deadline-sensitive opportunistic utility-based routing in cyclic mobile social networks
Utility-Based Gateway Deployment for Supporting Multi-Domain DTNs
Distributed Caching Control Strategy in Mobile Edge Computing: A Mean Field Game Approach
IoT Network Security from the Perspective of Adversarial Deep Learning
Optimizing TCP loss recovery performance over mobile data networks
eDomus: User-home interactions through Facebook and Named Data Networking
Authentication through Sensing of Tongue and Lip Motion via Smartphone
Optimizing Graphical Model Structure for Distributed Inference in Wireless Sensor Networks
Combinatorial Multi-Armed Bandit Based User Recruitment in Mobile Crowdsensing
Robust, probabilistic, constraint-based localization for wireless sensor networks
Maximizing Energy Efficiency of Period-Area Coverage with UAVs for Wireless Rechargeable Sensor Networks
A New Simulation Algorithm for Absorbing Receiver in Molecular Communication
LoDiHAR: A Low-Cost Distributed Human Activity Recognition System Based on RFID
X-Disco: Cross-technology Neighbor Discovery
EnLighting: An Indoor Visible Light Communication System Based on Networked Light Bulbs
A Resource Provisioning Manager for Edge Devices
Spectrum Agile Medium Access Control Protocol for Wireless Sensor Networks
Packet aggregation in multi-rate wireless LANs
Pedestrian Liveness Detection Based on mmWave Radar and Camera Fusion
Maximizing the route capacity in Cognitive Radio networks
Content Distribution in VANETs Using Network Coding: The Effect of Disk I/O and Processing O/H
Robust Routing and Scheduling in Wireless Mesh Networks
Bias adjustment of spatially-distributed wireless pollution sensors for environmental studies in India
A real-time rescue system: Towards practical implementation of robotic sensor network
A Communication-Theoretic Approach to Ad Hoc Wireless Networking
Towards Crowdsourced Signal Map Construction via Implicit Interaction of IoT Devices
Trajectory-Aware Communication Solution for Underwater Gliders Using WHOI Micro-Modems
Dynamic Local Clustering for Hierarchical Ad Hoc Networks
Reactive Identification of Misbehavior in Ad Hoc Networks Based on Random Audits
A P2P approach to Streaming Multimedia Contents in a F-learning Oriented Platform
RFID Localization Based on Multiple Feature Fusion
FedNaWi: Selecting the Befitting Clients for Robust Federated Learning in IoT Applications
A Practical Secret Key Management for Multihop Drone Relay Systems based on Bluetooth Low Energy
NASCENT: network layer service for vicinity ad-hoc groups
Stimulating cooperation and defending against attacks in self-organized mobile ad hoc networks
Measuring Gender Bias in Word Embeddings of Gendered Languages Requires Disentangling Grammatical Gender Signals
Reclaiming the Digital Commons: A Public Data Trust for Training Data
AI Decisions, Risk, and Ethics: Beyond Value Alignment
Examining Religion Bias in AI Text Generators
Alienation in the AI-Driven Workplace
Toward Implementing the Agent-Deed-Consequence Model of Moral Judgment in Autonomous Vehicles
Kid-Whisper: Towards Bridging the Performance Gap in Automatic Speech Recognition for Children VS. Adults
Quantitative and Organizational Approaches to Epistemic Risk in Generative and General-Purpose AI
AI + Art = Human
AI for/by the majority world: From technologies of dispossession to technologies of radical care
Generating Deontic Obligations From Utility-Maximizing Systems
Data-Centric Factors in Algorithmic Fairness
Responsible AI Systems: Who are the Stakeholders?
Bias in Artificial Intelligence Models in Financial Services
The AI-development Connection - A View from the South
CIVICS: Building a Dataset for Examining Culturally-Informed Values in Large Language Models
Towards Empathetic Planning and Plan Recognition
Age Bias in Emotion Detection: An Analysis of Facial Emotion Recognition Performance on Young, Middle-Aged, and Older Adults
Legal Minds, Algorithmic Decisions: How LLMs Apply Constitutional Principles in Complex Scenarios
Enhancing Human-AI Collaboration through Adaptive Interaction and Explainability
Embodiment, Anthropomorphism, and Intellectual Property Rights for AI Creations
Machine Learning in Legal Practice: Notes from Recent History
What's Next for AI Ethics, Policy, and Governance? A Global Overview
Piecemeal Knowledge Acquisition for Computational Normative Reasoning
Does Fair Ranking Improve Minority Outcomes? Understanding the Interplay of Human and Algorithmic Biases in Online Hiring
Bridging Ethics and AI: A Path to Moral Machines
We Haven't Gone Paperless Yet: Why the Printing Press Can Help Us Understand Data and AI
Fair Machine Learning Under Partial Compliance
Computerize the Race Problem?: Why We Must Plan for a Just AI Future
Costs and Benefits of Fair Representation Learning
Enhancing Transparency and Research Ethics through Human AI Techniques
Sub-committee Approval Voting and Generalized Justified Representation Axioms
When and Why is Persuasion Hard? A Computational Complexity Result
Socialbots Supporting Human Rights
A Dynamic Decision-Making Framework Promoting Long-Term Fairness
FINS Auditing Framework: Group Fairness for Subset Selections
Crowdsourcing Impacts: Exploring the Utility of Crowds for Anticipating Societal Impacts of Algorithmic Decision Making
Distill-and-Compare: Auditing Black-Box Models Using Transparent Model Distillation
Perceptions of Fairness
Self-determination through explanation: an ethical perspective on the implementation of the transparency requirements for recommender systems set by the Digital Services Act of the European Union
Stress-Testing Bias Mitigation Algorithms to Understand Fairness Vulnerabilities
Iterative Partial Fulfillment of Counterfactual Explanations: Benefits and Risks
A Fairness-aware Incentive Scheme for Federated Learning
Simulating Policy Impacts: Developing a Generative Scenario Writing Method to Evaluate the Perceived Effects of Regulation
What to Trust When We Trust Artificial Intelligence (Extended Abstract)
A Survey of the Potential Long-term Impacts of AI: How AI Could Lead to Long-term Changes in Science, Cooperation, Power, Epistemics and Values
Actual Causality and Responsibility Attribution in Decentralized Partially Observable Markov Decision Processes
How do you feel? Measuring User-Perceived Value for Rejecting Machine Decisions in Hate Speech Detection
GAEA: Graph Augmentation for Equitable Access via Reinforcement Learning
Towards Composable Bias Rating of AI Services
Becoming Good at AI for Good
Understanding Intrinsic Socioeconomic Biases in Large Language Models
Nothing Comes Without Its World - Practical Challenges of Aligning LLMs to Situated Human Values through RLHF
FairCanary: Rapid Continuous Explainable Fairness
Stochastic Policies in Morally Constrained (C-)SSPs
A Formal Account of Trustworthiness: Connecting Intrinsic and Perceived Trustworthiness
Towards Unifying Feature Attribution and Counterfactual Explanations: Different Means to the Same End
Socially-Aware Artificial Intelligence for Fair Mobility
The Role and Limits of Principles in AI Ethics: Towards a Focus on Tensions
Model Multiplicity for Responsible AI
The AI Mirror: Reclaiming our Humanity in an Age of Machine Thinking
Shared Moral Foundations of Embodied Artificial Intelligence
The Perils of Objectivity: Towards a Normative Framework for Fair Judicial Decision-Making
Contrastive Counterfactual Fairness in Algorithmic Decision-Making
Misrepresented Technological Solutions in Imagined Futures: The Origins and Dangers of AI Hype in the Research Community
Crowdsourcing with Fairness, Diversity and Budget Constraints
Pay Attention: a Call to Regulate the Attention Market and Prevent Algorithmic Emotional Governance
Surveilling Surveillance: Estimating the Prevalence of Surveillance Cameras with Street View Data
Identifying Bias in Data Using Two-Distribution Hypothesis Tests
Considering Context as it Relates to Student Agency Conditions in Intelligent Game-Based Learning Environments
Popularity Bias in Ranking and Recommendation
Beyond Participatory AI
Mitigating Unwanted Biases with Adversarial Learning
What's Distributive Justice Got to Do with It? Rethinking Algorithmic Fairness from a Perspective of Approximate Justice
Faithful and Customizable Explanations of Black Box Models
Learning Optimal Fair Decision Trees: Trade-offs Between Interpretability, Fairness, and Accuracy
Can AlphaGo be apt subjects for Praise/Blame for "Move 37"?
Creating Fair Models of Atherosclerotic Cardiovascular Disease Risk
Public Attitudes on Performance for Algorithmic and Human Decision-Makers (Extended Abstract)
Designing Interfaces to Elicit Data Issues for Data Workers
Vernacularizing Taxonomies of Harm is Essential for Operationalizing Holistic AI Safety
Why is my System Biased?: Rating of AI Systems through a Causal Lens
Social Media Profiling Continues to Partake in the Development of Formalistic Self-Concepts. Social Media Users Think So, Too
Enhancing Fairness in Face Detection in Computer Vision Systems by Demographic Bias Mitigation
AIES '22: AAAI/ACM Conference on AI, Ethics, and Society, Oxford, United Kingdom, May 19 - 21, 2021
Sociotechnical Systems and Ethics in the Large
Why Reliabilism Is not Enough: Epistemic and Moral Justification in Machine Learning
The Impact of Responsible AI Research on Innovation and Development
Operationalizing Content Moderation "Accuracy" in the Digital Services Act
AI and Us: Ethical Concerns, Public Knowledge and Public Attitudes on Artificial Intelligence
AIES '21: AAAI/ACM Conference on AI, Ethics, and Society, Virtual Event, USA, May 19-21, 2021
Learning Fairer Interventions
Using Deceased-Donor Kidneys to Initiate Chains of Living Donor Kidney Paired Donations: Algorithm and Experimentation
Safety Issues in Conversational Systems
An AI Ethics Course Highlighting Explicit Ethical Agents
A Bio-Inspired Framework for Machine Bias Interpretation
(When) Can AI Bots Lie?
Examining the Behavior of LLM Architectures Within the Framework of Standardized National Exams in Brazil
A Qualitative Study on Cultural Hegemony and the Impacts of AI
Bound by the Bounty: Collaboratively Shaping Evaluation Processes for Queer AI Harms
Fooling LIME and SHAP: Adversarial Attacks on Post hoc Explanation Methods
Trustworthy Social Bias Measurement
Modelling and Influencing the AI Bidding War: A Research Agenda
Different "Intelligibility" for Different Folks
Ecosystem Graphs: Documenting the Foundation Model Supply Chain
Artificial Intelligence Diffusion in Public Administration
Mimetic Models: Ethical Implications of AI that Acts Like You
Algorithmic Stereotypes: Implications for Fairness of Generalizing from Past Data
Are AI Ethics Conferences Different and More Diverse Compared to Traditional Computer Science Conferences?
Acceptable Use Policies for Foundation Models
Protecting Children from Online Exploitation: Can a Trained Model Detect Harmful Communication Strategies?
Who's Responsible? Jointly Quantifying the Contribution of the Learning Algorithm and Data
Fairness in Deceased Organ Matching
More Similar Values, More Trust? - the Effect of Value Similarity on Trust in Human-Agent Interaction
On Influencing Individual Behavior for Reducing Transportation Energy Expenditure in a Large Population
Balancing the Tradeoff Between Clustering Value and Interpretability
"The Global South is everywhere, but also always somewhere": National Policy Narratives and AI Justice
Changing distributions and preferences in learning systems
Robust Artificial Moral Agents and Metanormativity
What's Fair about Individual Fairness?
Computer Vision and Conflicting Values: Describing People with Automated Alt Text
Learning Occupational Task-Shares Dynamics for the Future of Work
Ethics in Norm Decision Making
Resume Format, LinkedIn URLs and Other Unexpected Influences on AI Personality Prediction in Hiring: Results of an Audit
Fairness in AI-Based Mental Health: Clinician Perspectives and Bias Mitigation
Risk Identification Questionnaire for Detecting Unintended Bias in the Machine Learning Development Lifecycle
Normative Principles for Evaluating Fairness in Machine Learning
Face Mis-ID: An Interactive Pedagogical Tool Demonstrating Disparate Accuracy Rates in Facial Recognition
Anticipatory regulatory instruments for AI systems: A comparative study of regulatory sandbox schemes
Theories of Parenting and Their Application to Artificial Intelligence
Current and Near-Term AI as a Potential Existential Risk Factor
Governing AI Applications To Monitoring and Managing Our Global Environmental Commons
Ground Truth Or Dare: Factors Affecting The Creation Of Medical Datasets For Training AI
Artificial Quasi Moral Agency
Computing Plans that Signal Normative Compliance
Annotator in the Loop: A Case Study of In-Depth Rater Engagement to Create a Prosocial Benchmark Dataset
The Grey Hoodie Project: Big Tobacco, Big Tech, and the Threat on Academic Integrity
Misplaced Capabilities: Evaluating the Risks of Anthropomorphism in Human-AI Interactions
Observing Context Improves Disparity Estimation when Race is Unobserved
Can We Obtain Fairness For Free?
Representation Magnitude Has a Liability to Privacy Vulnerability
Machine Learning Practices Outside Big Tech: How Resource Constraints Challenge Responsible Development
The Worst of Both Worlds: A Comparative Analysis of Errors in Learning from Data in Psychology and Machine Learning
Beyond the ML Model: Applying Safety Engineering Frameworks to Text-to-Image Development
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
Two-Stage Refugee Resettlement Models: Computational Aspects of the Second Stage
PoliTune: Analyzing the Impact of Data Selection and Fine-Tuning on Economic and Political Biases in Large Language Models
Algorithmic Decision-Making under Agents with Persistent Improvement
Compute North vs. Compute South: The Uneven Possibilities of Compute-based AI Governance Around the Globe
Real-Time Inference of User Types to Assist with more Inclusive and Diverse Social Media Activism Campaigns
A Model for Governing Information Sharing in Smart Assistants
Formal Ethical Obligations in Reinforcement Learning Agents: Verification and Policy Updates
Reinforcement Learning and Inverse Reinforcement Learning with System 1 and System 2
Tracing the Evolution of Information Transparency for OpenAI's GPT Models through a Biographical Approach
Artificial Artificial Intelligence: Measuring Influence of AI 'Assessments' on Moral Decision-Making
Examining Responsibility and Deliberation in AI Impact Statements and Ethics Reviews
Quantifying Gendered Citation Imbalance in Computer Science Conferences
Transparency, Governance and Regulation of Algorithmic Tools Deployed in the Criminal Justice System: a UK Case Study
When Your Only Tool Is A Hammer: Ethical Limitations of Algorithmic Fairness Solutions in Healthcare Machine Learning
Ethics for AI Writing: The Importance of Rhetorical Context
Designing Shapelets for Interpretable Data-Agnostic Classification
Deepfakes for Medical Video De-Identification: Privacy Protection and Diagnostic Information Preservation
Towards Emotional Intelligence in Social Robots Designed for Children
IMLI: An Incremental Framework for MaxSAT-Based Learning of Interpretable Classification Rules
DIME: Fine-grained Interpretations of Multimodal Models via Disentangled Local Explanations
Unpicking Epistemic Injustices in Digital Health: On the Implications of Designing Data-Driven Technologies for the Management of Long-Term Conditions
Balancing the Benefits of Autonomous Vehicles
Representation Bias of Adolescents in AI: A Bilingual, Bicultural Study
Toward Design and Evaluation Framework for Interpretable Machine Learning Systems
Trusting Your AI Agent Emotionally and Cognitively: Development and Validation of a Semantic Differential Scale for AI Trust
Purple Feed: Identifying High Consensus News Posts on Social Media
Action Guidance and AI Alignment
Anticipating the Risks and Benefits of Counterfactual World Simulation Models (Extended Abstract)
Intent-Aware Example-Based Explainability
What's Your Stake in Sustainability of AI?: An Informed Insider's Guide
Balancing Privacy and Utility with Pattern Based Activity Detection: Extended Abstract
LLM Voting: Human Choices and AI Collective Decision-Making
Mitigating Urban-Rural Disparities in Contrastive Representation Learning with Satellite Imagery
Ethical Recommenders in the Public Library Sector
Algorithmic Hiring in Practice: Recruiter and HR Professional's Perspectives on AI Use in Hiring
Beyond Thumbs Up/Down: Untangling Challenges of Fine-Grained Feedback for Text-to-Image Generation
Afrofuturist Values for the Metaverse (Extended Abstract)
Accountable Agents and Where to Find Them
Value Alignment, Fair Play, and the Rights of Service Robots
Explainability in Process Mining: A Framework for Improved Decision-Making
Respect as a Lens for the Design of AI Systems
"Way too good and way beyond comfort": The trade-off between user perception of benefits and comfort in media personalisation
Sampling Individually-Fair Rankings that are Always Group Fair
An Empirical Approach to Capture Moral Uncertainty in AI
GATE: A Challenge Set for Gender-Ambiguous Translation Examples
The Limits of Fairness
A Human-in-the-loop Framework to Construct Context-aware Mathematical Notions of Outcome Fairness
Reflexive Design for Fairness and Other Human Values in Formal Models
Incorrigibility in the CIRL Framework
Measuring Human-AI Value Alignment in Large Language Models
Epistemic Reasoning for Machine Ethics with Situation Calculus
Emotion Recognition Technology: Re-Shaping Human Relationships
Adapting a Kidney Exchange Algorithm to Align with Human Values
Not So Fair: The Impact of Presumably Fair Machine Learning Models
Explainable AI and Adoption of Financial Algorithmic Advisors: An Experimental Study
Algorithmic Fairness From the Perspective of Legal Anti-discrimination Principles
On Feasibility of Intent Obfuscating Attacks
What does it mean to be a responsible AI practitioner: An ontology of roles and skills
Regulating for 'Normal AI Accidents': Operational Lessons for the Responsible Governance of Artificial Intelligence Deployment
Training for Implicit Norms in Deep Reinforcement Learning Agents through Adversarial Multi-Objective Reward Optimization
Participatory Algorithmic Management: Elicitation Methods for Worker Well-Being Models
REFRESH: Responsible and Efficient Feature Reselection guided by SHAP values
Computational Perspectives on Social Good and Access to Opportunity
A Meta-Analysis of the Utility of Explainable Artificial Intelligence in Human-AI Decision-Making
Automated Kantian Ethics
To Scale: The Universalist and Imperialist Narrative of Big Tech
Towards a Holistic Approach: Understanding Sociodemographic Biases in NLP Models using an Interdisciplinary Lens
Should Artificial Intelligence Governance be Centralised?: Design Lessons from History
Learning Norms from Stories: A Prior for Value Aligned Agents
An FDA for AI? Pitfalls and Plausibility of Approval Regulation for Frontier Artificial Intelligence
A Geometric Solution to Fair Representations
AI Extenders: The Ethical and Societal Implications of Humans Cognitively Extended by AI
The Coloniality of Data Work in Latin America
How We Talk About AI (and Why It Matters)
Particip-AI: A Democratic Surveying Framework for Anticipating Future AI Use Cases, Harms and Benefits
The Problems with Proxies: Making Data Work Visible through Requester Practices
Views on AI Aren't Binary - They're Plural (Extended Abstract)
Uncovering and Mitigating Algorithmic Bias through Learned Latent Structure
Equalizing Credit Opportunity in Algorithms: Aligning Algorithmic Fairness Research with U.S. Fair Lending Regulation
Governing Algorithmic Systems with Impact Assessments: Six Observations
Multi-CoPED: A Multilingual Multi-Task Approach for Coding Political Event Data on Conflict and Mediation Domain
Killer Robots and Human Dignity
Dialogue Explanation With Reasoning for AI
Keep Sensors in Check: Disentangling Country-Level Generalization Issues in Mobile Sensor-Based Models with Diversity Scores
Dynamic Fleet Management and Household Feedback for Garbage Collection
Human Autonomy in Algorithmic Management
Reflection of Its Creators: Qualitative Analysis of General Public and Expert Perceptions of Artificial Intelligence
Compensation at the Crossroads: Autonomous Vehicles and Alternative Victim Compensation Schemes
Rethinking AI Strategy and Policy as Entangled Super Wicked Problems
AIES 2019 Student Submission
Regulating Artificial Intelligence: Proposal for a Global Solution
Unpacking the Expressed Consequences of AI Research in Broader Impact Statements
Social Scoring Systems for Behavioral Regulation: An Experiment on the Role of Transparency in Determining Perceptions and Behaviors
Effective Enforceability of EU Competition Law Under AI Development Scenarios: a Framework for Anticipatory Governance
Learning to Generate Fair Clusters from Demonstrations
Interpretable Approaches to Detect Bias in Black-Box Models
How and to which extent will the provisions of the Digital Services Act of the European Union impact on the relationship between users and platforms as information providers?
Comparing Equity and Effectiveness of Different Algorithms in an Application for the Room Rental Market
APPRAISE: a Governance Framework for Innovation with Artificial Intelligence Systems
Write It Like You See It: Detectable Differences in Clinical Notes by Race Lead to Differential Model Recommendations
Fairness for Unobserved Characteristics: Insights from Technological Impacts on Queer Communities