yusuke1997/dblp-id-title huggingface dataset:
Advancing Early Alzheimer's Disease Detection in Underdeveloped Areas with Fair Explainable AI Methods
Modeling and Guiding the Creation of Ethical Human-AI Teams
Understanding the Representation and Representativeness of Age in AI Data Sets
On The Stability of Moral Preferences: A Problem with Computational Elicitation Methods
Incomplete Contracting and AI Alignment
Reducing Biases towards Minoritized Populations in Medical Curricular Content via Artificial Intelligence for Fairer Health Outcomes
You Still See Me: How Data Protection Supports the Architecture of AI Surveillance
Causality in Neural Networks - An Extended Abstract
Gender Bias and Under-Representation in Natural Language Processing Across Human Languages
Co-designing an AI Impact Assessment Report Template with AI Practitioners and AI Compliance Experts
Learning When Not to Measure: Theorizing Ethical Alignment in LLMs
An AI Race for Strategic Advantage: Rhetoric and Risks
The Problem with Intelligence: Its Value-Laden History and the Future of AI
Designing Effective and Accessible Consumer Protections against Unfair Treatment in Markets where Automated Decision Making is used to Determine Access to Essential Services: A Case Study in Australia's Housing Market
Breaking Bias, Building Bridges: Evaluation and Mitigation of Social Biases in LLMs via Contact Hypothesis
A Penalty Default Approach to Preemptive Harm Disclosure and Mitigation for AI Systems
Towards a Feminist Metaethics of AI
Proceedings of the Seventh AAAI/ACM Conference on AI, Ethics, and Society (AIES-24) - Full Archival Papers, October 21-23, 2024, San Jose, California, USA - Volume 1
Ethically Aligned Opportunistic Scheduling for Productive Laziness
Bias in Hate Speech and Toxicity Detection
From Algorithmic Audits to Actual Accountability: Overcoming Practical Roadblocks on the Path to Meaningful Audit Interventions for AI Governance
Proceedings of the 2023 AAAI/ACM Conference on AI, Ethics, and Society, AIES 2023, Montréal, QC, Canada, August 8-10, 2023
Breaking the Global North Stereotype: A Global South-centric Benchmark Dataset for Auditing and Mitigating Biases in Facial Recognition Systems
Fairness Implications of Encoding Protected Categorical Attributes
Mapping Missing Population in Rural India: A Deep Learning Approach with Satellite Imagery
Toward the Engineering of Virtuous Machines
Algorithmized but not Atomized? How Digital Platforms Engender New Forms of Worker Solidarity in Jakarta
How Does Predictive Information Affect Human Ethical Preferences?
Data Driven Techniques for Organizing Scientific Articles Relevant to Biomimicry
What Makes An Expert? Reviewing How ML Researchers Define "Expert"
Regulating Lethal and Harmful Autonomy: Drafting a Protocol VI of the Convention on Certain Conventional Weapons
Investigating the Impact of Inclusion in Face Recognition Training Data on Individual Face Identification
Stable Diffusion Exposed: Gender Bias from Prompt to Image
On the Trade-offs between Adversarial Robustness and Actionable Explanations
Detecting Emergent Intersectional Biases: Contextualized Word Embeddings Contain a Distribution of Human-like Biases
Non-Discriminatory Machine Learning through Convex Fairness Criteria
Algorithm-Assisted Decision Making and Racial Disparities in Housing: A Study of the Allegheny Housing Assessment Tool
"☑ Fairness Toolkits, A Checkbox Culture?" On the Factors that Fragment Developer Practices in Handling Algorithmic Harms
Explanatory Interactive Machine Learning
Foundation Model Transparency Reports
Fairness Criteria for Face Recognition Applications
Feeding the Beast: Superintelligence, Corporate Capitalism and the End of Humanity
Causal Multi-level Fairness
Ethics by Design: Necessity or Curse?
An Ontology for Fairness Metrics
The Windfall Clause: Distributing the Benefits of AI for the Common Good
Fair Equality of Chances for Prediction-based Decisions
On the Validity of Arrest as a Proxy for Offense: Race and the Likelihood of Arrest for Violent Crimes
Fair Allocation through Selective Information Acquisition
Examining Trust in Conversational Systems: Conceptual and Empirical Findings on User Trust, Related Behavior, and System Trustworthiness
Loss-Aversively Fair Classification
The Supply Chain Capitalism of AI: A Call to (Re)think Algorithmic Harms and Resistance (Extended Abstract)
Artificial Moral Advisors: A New Perspective from Moral Psychology
Practical Skills Demand Forecasting via Representation Learning of Temporal Dynamics
Outsider Oversight: Designing a Third Party Audit Ecosystem for AI Governance
Artificial Intelligence in the Government: Responses to Failures and Social Impact
TrolleyMod v1.0: An Open-Source Simulation and Data-Collection Platform for Ethical Decision Making in Autonomous Vehicles
Robot Rights?: Let's Talk about Human Welfare Instead
Monitoring AI Services for Misuse
Introducing ELLIPS: An Ethics-Centered Approach to Research on LLM-Based Inference of Psychiatric Conditions
Meta Decision Trees for Explainable Recommendation Systems
Self-Destructing Models: Increasing the Costs of Harmful Dual Uses of Foundation Models
Mitigating Voter Attribute Bias for Fair Opinion Aggregation
Estimating Environmental Cost Throughout Model's Adaptive Life Cycle
How Should AI Decisions Be Explained? Requirements for Explanations from the Perspective of European Law
Situated Accountability: Ethical Principles, Certification Standards, and Explanation Methods in Applied AI
Towards Equity and Algorithmic Fairness in Student Grade Prediction
RAWLSNET: Altering Bayesian Networks to Encode Rawlsian Fair Equality of Opportunity
Norms, Rewards, and the Intentional Stance: Comparing Machine Learning Approaches to Ethical Training
Queering Futures: the design of an expanded mixed methods research framework integrating qualitative, quantitative, and practice-based modes
Algorithms that "Don't See Color": Measuring Biases in Lookalike and Special Ad Audiences
Margins and Opportunity
Enabling Effective Transparency: Towards User-Centric Intelligent Systems
Analysis of Climate Campaigns on Social Media using Bayesian Model Averaging
Ethical Obligations to Provide Novelty
Multi Value Alignment: four steps for aligning ML/AI development choices with multiple values
Evaluating Biased Attitude Associations of Language Models in an Intersectional Context
Fairness, Accountability and Transparency in Artificial Intelligence: A Case Study of Logical Predictive Models
Evaluation of targeted dataset collection on racial equity in face recognition
PPS: Personalized Policy Summarization for Explaining Sequential Behavior of Autonomous Agents
Towards Accountability in the Use of Artificial Intelligence for Public Administrations
Mapping Informal Settlements in Developing Countries using Machine Learning and Low Resolution Multi-spectral Data
Degenerate Feedback Loops in Recommender Systems
Adoption Dynamics and Societal Impact of AI Systems in Complex Networks
Algorithmic Fairness and Structural Injustice: Insights from Feminist Political Philosophy
FACE: Feasible and Actionable Counterfactual Explanations
Introducing the AI Governance and Regulatory Archive (AGORA): An Analytic Infrastructure for Navigating the Emerging AI Governance Landscape
From Coded Bias to Existential Threat: Expert Frames and the Epistemic Politics of AI Governance
Blacklists and Redlists in the Chinese Social Credit System: Diversity, Flexibility, and Comprehensiveness
Equalized Odds Implies Partially Equalized Outcomes Under Realistic Assumptions
Investigating the Relative Strengths of Humans and Machine Learning in Decision-Making
Hidden or Inferred: Fair Learning-To-Rank With Unknown Demographics
A multidomain relational framework to guide institutional AI research and adoption
Hard Choices in Artificial Intelligence: Addressing Normative Uncertainty through Sociotechnical Commitments
The Earth Is Flat and the Sun Is Not a Star: The Susceptibility of GPT-2 to Universal Adversarial Triggers
Responsible Reporting for Frontier AI Development
Regulating Autonomous Vehicles: A Policy Proposal
Cake, Death, and Trolleys: Dilemmas as benchmarks of ethical decision-making
Algorithmic Fairness from a Non-ideal Perspective
Towards Better Detection of Biased Language with Scarce, Noisy, and Biased Annotations
Precarity: Modeling the Long Term Effects of Compounded Decisions on Individual Instability
Human vs. Machine: Behavioral Differences between Expert Humans and Language Models in Wargame Simulations
When Trusted Black Boxes Don't Agree: Incentivizing Iterative Improvement and Accountability in Critical Software Systems
Fairness in the Eyes of the Data: Certifying Machine-Learning Models
The Code That Binds Us: Navigating the Appropriateness of Human-AI Assistant Relationships
When Fair Classification Meets Noisy Protected Attributes
A Causal Framework to Evaluate Racial Bias in Law Enforcement Systems
CERTIFAI: A Common Framework to Provide Explanations and Analyse the Fairness and Robustness of Black-box Models
A Just Approach Balancing Rawlsian Leximax Fairness and Utilitarianism
Algorithms and Recidivism: A Multi-disciplinary Systematic Review
RelEx: A Model-Agnostic Relational Model Explainer
Investigating Debiasing Effects on Classification and Explainability
Exploitation and Algorithmic Pricing: Regressive Distributive Outcomes in Consumer-to-Business Transactions
MoJE: Mixture of Jailbreak Experts, Naive Tabular Classifiers as Guard for Prompt Attacks
Sponsored is the New Organic: Implications of Sponsored Results on Quality of Search Results in the Amazon Marketplace
Always Lurking: Understanding and Mitigating Bias in Online Human Trafficking Detection
Digital Voodoo Dolls
Fairness in Relational Domains
LLM Platform Security: Applying a Systematic Evaluation Framework to OpenAI's ChatGPT Plugins
A Framework for Understanding AI-Induced Field Change: How AI Technologies are Legitimized and Institutionalized
SCALES: From Fairness Principles to Constrained Decision-Making
The Great AI/Robot Jobs Scare: Reality or ... Not Reality of Automation Fear Redux
Inverse Norm Conflict Resolution
Gaps in the Safety Evaluation of Generative AI
ML-EAT: A Multilevel Embedding Association Test for Interpretable and Transparent Social Science
Optimal Contest Design for Multi-Agent Systems
The Dangers of Drowsiness Detection: Differential Performance, Downstream Impact, and Misuses
Typology of Risks of Generative Text-to-Image Models
Artificial Intelligence and Indigenous Perspectives: Protecting and Empowering Intelligent Human Beings
Measuring Lay Reactions to Personal Data Markets
Socially-Aware Navigation Using Topological Maps and Social Norm Learning
Opportunities and Challenges for Artificial Intelligence in India
AI Art and Misinformation: Approaches and Strategies for Media Literacy and Fact Checking
The Role of Governance in Bridging AI Responsibility Gaps: An interdisciplinary evaluation of emerging AI governance measures
Face the Facts: Using Face Averaging to Visualize Gender-by-Race Bias in Facial Analysis Algorithms
A Framework for Grounding the Moral Status of Intelligent Machines
Biased Priorities, Biased Outcomes: Three Recommendations for Ethics-oriented Data Annotation Practices
The Generative AI Deployment Rush: How to Democratize the Politics of Pace
AIES '20: AAAI/ACM Conference on AI, Ethics, and Society, New York, NY, USA, February 7-8, 2020
Social Contracts for Non-Cooperative Games
What are People Talking about in #BackLivesMatter and #StopAsianHate?: Exploring and Categorizing Twitter Topics Emerged in Online Social Movements through the Latent Dirichlet Allocation Model
Artificial Intelligence and the Purpose of Social Systems
Privacy-Preserving Machine Learning Based Data Analytics on Edge Devices
Legible Normativity for AI Alignment: The Value of Silly Rules
Trustworthy AI for the People?
Reckoning with the Disagreement Problem: Explanation Consensus as a Training Objective
The Cost of Ethical AI Development for AI Startups
AI and Shared Prosperity
Towards User Guided Actionable Recourse
Scaling Guarantees for Nearest Counterfactual Explanations
Target specification bias, counterfactual prediction, and algorithmic fairness in healthcare
Towards Just, Fair and Interpretable Methods for Judicial Subset Selection
Towards a Computational Sustainability for AI/ML to Foster Responsibility
More Than "If Time Allows": The Role of Ethics in AI Education
Learning Existing Social Conventions via Observationally Augmented Self-Play
Select Wisely and Explain: Active Learning and Probabilistic Local Post-hoc Explainability
Sealed Knowledges: A Critical Approach to the Usage of LLMs as Search Engines
On the Distinction between Implicit and Explicit Ethical Agency
Proceedings of the 2018 AAAI/ACM Conference on AI, Ethics, and Society, AIES 2018, New Orleans, LA, USA, February 02-03, 2018
Uncertainty as a Form of Transparency: Measuring, Communicating, and Using Uncertainty
ExploreGen: Large Language Models for Envisioning the Uses and Risks of AI Technologies
Interpretations, Representations, and Stereotypes of Caste within Text-to-Image Generators
An Invitation to System-wide Algorithmic Fairness
Partially Generative Neural Networks for Gang Crime Classification with Partial Information
How to promote equitable sleep care among people experiencing homelessness: An AI-enabled person-centred computer vision-based solution
User Tampering in Reinforcement Learning Recommender Systems
Ensuring Fairness under Prior Probability Shifts
Measuring Automated Influence: Between Empirical Evidence and Ethical Values
Automating Procedurally Fair Feature Selection in Machine Learning
Navigating Governance Paradigms: A Cross-Regional Comparative Study of Generative AI Governance Processes & Principles
Privacy Preserving Machine Learning Systems
Measuring Model Fairness under Noisy Covariates: A Theoretical Perspective
The AI Liability Puzzle and a Fund-Based Work-Around
How Do AI Companies "Fine-Tune" Policy? Examining Regulatory Capture in AI Governance
The PPOu Framework: A Structured Approach for Assessing the Likelihood of Malicious Use of Advanced AI Systems
Disengagement through Algorithms: How Traditional Organizations Aim for Experts' Satisfaction
Racial and Neighborhood Disparities in Legal Financial Obligations in Jefferson County, Alabama
AIDE: Antithetical, Intent-based, and Diverse Example-Based Explanations
Epistemic Therapy for Bias in Automated Decision-Making
Lessons from Clinical Communications for Explainable AI
Overtrust of Robots in High-Risk Scenarios
How Cognitive Biases Affect XAI-assisted Decision-making: A Systematic Review
Giving AI a Theory of Mind
Machine Learning practices and infrastructures
On the Pros and Cons of Active Learning for Moral Preference Elicitation
Inspecting Algorithmic Flows: Ethics, Transparency, and Accountability for Digital Mass Communication Platforms
Contributory Injustice, Epistemic Calcification and the Use of AI Systems in Healthcare
Paradoxes in Fair Computer-Aided Decision Making
Are Large Language Models Moral Hypocrites? A Study Based on Moral Foundations
Global Explanations of Neural Networks: Mapping the Landscape of Predictions
All Too Human? Mapping and Mitigating the Risk from Anthropomorphic AI
No Rage Against the Machines: Threat of Automation Does Not Change Policy Preferences
Gender in Pixels: Pathways to Non-binary Representation in Computer Vision
RoboTruckers: The Double Threat of AI for Low-Wage Work
Fairness and Data Protection Impact Assessments
Social Biases through the Text-to-Image Generation Lens
Virtual Assistants Are Unlikely to Reduce Patient Non-Disclosure
Do Responsible AI Artifacts Advance Stakeholder Goals? Four Key Barriers Perceived by Legal and Civil Stakeholders
Fair, Robust, and Data-Efficient Machine Learning in Healthcare
Uncovering the Gap: Challeging the Agential Nature of AI Responsibility Problems (Extended Abstract)
Individual Fairness in Graphs Using Local and Global Structural Information
Gender Bias in Word Embeddings: A Comprehensive Analysis of Frequency, Syntax, and Semantics
Fair Transfer Learning with Missing Protected Attributes
A sector-based approach to AI ethics: Understanding ethical issues of AI-related incidents within their sectoral context
How does Value Similarity affect Human Reliance in AI-Assisted Ethical Decision Making?
What's (Not) Ideal about Fair Machine Learning?
The ELIZA Defect: Constructing the Right Users for Generative AI
Coordinated Flaw Disclosure for AI: Beyond Security Vulnerabilities
Skilled and Mobile: Survey Evidence of AI Researchers' Immigration Preferences
Disambiguating Algorithmic Bias: From Neutrality to Justice
Measures of Disparity and their Efficient Estimation
The Seductive Allure of Artificial Intelligence-Powered Neurotechnology
Person, Human, Neither: The Dehumanization Potential of Automated Image Tagging
Proceedings of the 2019 AAAI/ACM Conference on AI, Ethics, and Society, AIES 2019, Honolulu, HI, USA, January 27-28, 2019
Differentially Private Normalizing Flows for Privacy-Preserving Density Estimation
TED: Teaching AI to Explain its Decisions
Towards Provably Moral AI Agents in Bottom-up Learning Frameworks
Fairness in Reinforcement Learning: A Survey
Human-AI Learning Performance in Multi-Armed Bandits
Not Oracles of the Battlefield: Safety Considerations for AI-Based Military Decision Support Systems
What are the Biases in My Word Embedding?
Comprehensive Human Oversight Framework to Ensure Accountability over Autonomous Weapon Systems
Automate or Assist? The Role of Computational Models in Identifying Gendered Discourse in US Capital Trial Transcripts
The Dark Side of Ethical Robots
Specifying AI Objectives as a Human-AI Collaboration problem
AI Failure Loops in Feminized Labor: Understanding the Interplay of Workplace AI and Occupational Devaluation
U.S. Public Opinion on the Governance of Artificial Intelligence
The Ethical Gravity Thesis: Marrian Levels and the Persistence of Bias in Automated Decision-making Systems
Hijacking Epistemic Agency: How Emerging Technologies Threaten our Wellbeing as Knowers
Understanding Decision Subjects' Fairness Perceptions and Retention in Repeated Interactions with AI-Based Decision Systems
Ethical Design for AI in Medicine
Nurturing the Companion ChatBot
AI-driven Automation as a Pre-condition for Eudaimonia
Accounting for Model Uncertainty in Algorithmic Discrimination
Rationalization: A Neural Machine Translation Approach to Generating Natural Language Explanations
Compassionate AI for Moral Decision-Making, Health, and Well-Being
Ethics of Food Recommender Applications
"I Don't See Myself Represented Here at All": User Experiences of Stable Diffusion Outputs Containing Representational Harms across Gender Identities and Nationalities
No Justice, No Robots: From the Dispositions of Policing to an Abolitionist Robotics
Learning from Discriminatory Training Data
Rawlsian Fair Adaptation of Deep Learning Classifiers
Individual and Group-level considerations of Actionable Recourse
Decoding Multilingual Moral Preferences: Unveiling LLM's Biases through the Moral Machine Experiment
Aegis: An Agent for Multi-party Privacy Preservation
How Do Fairness Definitions Fare?: Examining Public Attitudes Towards Algorithmic Definitions of Fairness
A Model- and Data-Agnostic Debiasing System for Achieving Equalized Odds
Tact in Noncompliance: The Need for Pragmatically Apt Responses to Unethical Commands
The Opacity of Automated Decision-Making Systems (ADMS) and its Challenges for Political Legitimacy in a Democracy
Surviving in Diverse Biases: Unbiased Dataset Acquisition in Online Data Market for Fair Model Training
Jill Watson Doesn't Care if You're Pregnant: Grounding AI Ethics in Empirical Studies
A Win for Society! Conquering Barriers to Fair Elections
Who Gets What, According to Whom? An Analysis of Fairness Perceptions in Service Allocation
Learning Context-Sensitive Norms under Uncertainty
Platform Power and AI: The Case of Content
Ethical Data Curation for AI: An Approach based on Feminist Epistemology and Critical Theories of Race
Examining the Ethics of Brain-Computer Interfaces: Ensuring Safety, the Rights and Dignity of Personhood
Saving Face: Investigating the Ethical Concerns of Facial Recognition Auditing
Human-Centered AI Applications for Canada's Immigration Settlement Sector
Automating Transparency Mechanisms in the Judicial System Using LLMs: Opportunities and Challenges
Measuring and Mitigating Unintended Bias in Text Classification
Beyond Fairness and Explanation: Foundations of Trustworthiness of Artificial Agents
True and Fair: Robust and Unbiased Fake News Detection via Interpretable Machine Learning
Automated Decision-Making Systems for Behavioral Regulation: Understanding Perceptions and Behavioral Reactions
When Do People Want AI to Make Decisions?
Uncovering Gender Biases in Human-AI Platforms
Foundations for Unfairness in Anomaly Detection - Case Studies in Facial Imaging Data
Managing Sustainability Tensions in Artificial Intelligence: Insights from Paradox Theory
Governing Silicon Valley and Shenzhen: Assessing a New Era of Artificial Intelligence Governance in the US and China
A Comparative Analysis of Emotion-Detecting AI Systems with Respect to Algorithm Performance and Dataset Diversity
A Framework for Technically- and Morally-Sound AI
A Systematic Review of Ethical Concerns with Voice Assistants
Contextual Analysis of Social Media: The Promise and Challenge of Eliciting Context in Social Media Posts with Natural Language Processing
The Origin and Opportunities of Developers' Perceived Code Accountability in Open Source AI Software Development
Towards Formal Models of Blameworthiness
Human Comprehension of Fairness in Machine Learning
Exploring the Effect of AI Assistance on Human Ethical Decisions
Steps Towards Value-Aligned Systems
Unsocial Intelligence: An Investigation of the Assumptions of AGI Discourse
Perceptions of Domestic Robots' Normative Behavior Across Cultures
Robots that Need to Mislead: Biologically-inspired Machine Deception
Data Cleaning, Discard Studies, and Discretionary Power
Explainability's Gain is Optimality's Loss?: How Explanations Bias Decision-making
An Education Model of Reasonable and Good-Faith Effort for Autonomous Systems
A Multi-Agent Approach to Combine Reasoning and Learning for an Ethical Behavior
Monitoring Misuse for Accountable 'Artificial Intelligence as a Service'
Proxy Fairness under the European Data Protection Regulation and the AI Act: A Perspective of Sensitivity and Necessity
How Open Source Machine Learning Software Shapes AI
Technocultural Pluralism: A "Clash of Civilizations" in Technology?
Designing Non-greedy Reinforcement Learning Agents with Diminishing Reward Shaping
Fairness and Machine Fairness
Habemus a Right to an Explanation: so What? - A Framework on Transparency-Explainability Functionality and Tensions in the EU AI Act
How to Design Smart Homes for Older Persons: The Somatic Capability Assessment as an Answer to Current Design Challenges
AI and Legal Personhood: An African Perspective
The Offense-Defense Balance of Scientific Knowledge: Does Publishing AI Research Reduce Misuse?
Utilizing Housing Resources for Homeless Youth Through the Lens of Multiple Multi-Dimensional Knapsacks
Measuring Fairness in an Unfair World
Civil War Twin: Exploring Ethical Challenges in Designing an Educational Face Recognition Application
How Do the Score Distributions of Subpopulations Influence Fairness Notions?
How Are LLMs Mitigating Stereotyping Harms? Learning from Search Engine Studies
Does AI Qualify for the Job?: A Bidirectional Model Mapping Labour and AI Intensities
Does AI De-Bias Recruitment?: Race, Gender, and AI's 'Eradication of Differences Between Groups'
The Mechanical Psychologist: Leveraging AI for Detecting Predatory Behaviour in Online Interactions
Bayesian Sensitivity Analysis for Offline Policy Evaluation
Perceived Algorithmic Fairness using Organizational Justice Theory: An Empirical Case Study on Algorithmic Hiring
A Deep Dive into Dataset Imbalance and Bias in Face Identification
ChatGPT Perpetuates Gender Bias in Machine Translation and Ignores Non-Gendered Pronouns: Findings across Bengali and Five other Low-Resource Languages
Learning and Obeying Conflicting Norms in Stochastic Domains