yusuke1997/dblp-id-title huggingface dataset:
The Root Shapes the Fruit: On the Persistence of Gender-Exclusive Harms in Aligned Language Models
How Do Users Identify and Perceive Stereotypes? Understanding User Perspectives on Stereotypical Biases in Large Language Models
System Safety and Artificial Intelligence
Models for Classifying AI Systems: the Switch, the Ladder, and the Matrix
Beyond Individual Accountability: (Re-)Asserting Democratic Control of AI
M²FGB: A Min-Max Gradient Boosting Framework for Subgroup Fairness
In her Shoes: Gendered Labelling in Crowdsourced Safety Perceptions Data from India
Machine Explanations and Human Understanding
Domain Adaptive Decision Trees: Implications for Accuracy and Fairness
Fair classification and social welfare
Making the Unaccountable Internet: The Changing Meaning of Accounting in the Early ARPANET
A Framework for Assurance Audits of Algorithmic Systems
Diversified Ensembling: An Experiment in Crowdsourced Machine Learning
Misabstraction in Sociotechnical Systems
Prediction as Extraction of Discretion
"It is unfair, and it would be unwise to expect the user to know the law!" - Evaluating reporting mechanisms under the Digital Services Act
Measurement and Fairness
Formalising Anti-Discrimination Law in Automated Decision Systems
Skin Deep: Investigating Subjectivity in Skin Tone Annotations for Computer Vision Benchmark Datasets
#FuckTheAlgorithm: algorithmic imaginaries and political resistance
The Forgotten Margins of AI Ethics
Algorithmic Impact Assessments and Accountability: The Co-construction of Impacts
Demographic-Reliant Algorithmic Fairness: Characterizing the Risks of Demographic Data Collection in the Pursuit of Fairness
Gender Trouble in Language Models: An Empirical Audit Guided by Gender Performativity Theory
Algorithmic Transparency and Participation through the Handoff Lens: Lessons Learned from the U.S. Census Bureau's Adoption of Differential Privacy
AI constructs gendered struggle narratives: Implications for self-concept and systems design
A Statistical Test for Probabilistic Fairness
On the Moral Justification of Statistical Parity
On Calibration in Multi-Distribution Learning
Promoting Fairness in Learned Models by Learning to Active Learn under Parity Constraints
Spoken Corpora Data, Automatic Speech Recognition, and Bias Against African American Language: The case of Habitual 'Be'
Using Property Elicitation to Understand the Impacts of Fairness Regularizers
Implementing Fairness Constraints in Markets Using Taxes and Subsidies
Fairness and utilization in allocating resources with uncertain demand
The Ethics of Emotion in Artificial Intelligence Systems
Who Goes First? Influences of Human-AI Workflow on Decision Making in Clinical Imaging
Auditing GPT's Content Moderation Guardrails: Can ChatGPT Write Your Favorite TV Show?
On the Praxes and Politics of AI Speech Emotion Recognition
Onward for the freedom of others: marching beyond the AI ethics
Assessing Annotator Identity Sensitivity via Item Response Theory: A Case Study in a Hate Speech Corpus
Careless Whisper: Speech-to-Text Hallucination Harms
'Stewardship' as a Fair, Accountable and Transparent Model for Free and Open-Source Software Governance? Looking Beyond the EU's Cyber Resilience Act
The philosophical basis of algorithmic recourse
Clear Sanctions, Vague Rewards: How China's Social Credit System Currently Defines "Good" and "Bad" Behavior
Analyze, Detect and Remove Gender Stereotyping from Bollywood Movies
More than the Sum of its Parts: Susceptibility to Algorithmic Disadvantage as a Conceptual Framework
Reviewable Automated Decision-Making: A Framework for Accountable Algorithmic Systems
Actionable Recourse in Linear Classification
The Conflict Between Algorithmic Fairness and Non-Discrimination: An Analysis of Fair Automated Hiring
How Misclassification Severity and Timing Influence User Trust in AI Image Classification: User Perceptions of High- and Low-Stakes Contexts
Disclosure without Engagement: An Empirical Review of Positionality Statements at FAccT
Imagining new futures beyond predictive systems in child welfare: A qualitative study with impacted stakeholders
Deepfakes on Demand: The rise of accessible non-consensual deepfake image generators: The rise of accessible non-consensual deepfake image generators
'We are adults and deserve control of our phones': Examining the risks and opportunities of a right to repair for mobile apps
Leap of FATE: human rights as a complementary framework for AI policy and practice
Dynamic Privacy Budget Allocation Improves Data Efficiency of Differentially Private Gradient Descent
Efficient Search for Diverse Coherent Explanations
A Taxonomy of Ethical Tensions in Inferring Mental Health States from Social Media
CrowdWorkSheets: Accounting for Individual and Collective Identities Underlying Crowdsourced Dataset Annotation
Human-Centered Evaluation of Aesthetic Quality Assessment Models Using a Smartphone Camera Application
Artifacts of Idiosyncracy in Global Street View Data
WEIRD Audits? Research Trends, Linguistic and Geographical Disparities in the Algorithm Audits of Online Platforms - A Systematic Literature Review
The case for voter-centered audits of search engines during political elections
Data Governance in the Age of Large-Scale Data-Driven Language Technology
A Review of Taxonomies of Explainable Artificial Intelligence (XAI) Methods
Welfarist Moral Grounding for Transparent AI
I agree with the decision, but they didn't deserve this: Future Developers' Perception of Fairness in Algorithmic Decisions
Certification Labels for Trustworthy AI: Insights From an Empirical Mixed-Method Study
Recommendation Independence
In the Name of Fairness: Assessing the Bias in Clinical Record De-identification
Fairness in Online Ad Delivery
Stronger Together: on the Articulation of Ethical Charters, Legal Tools, and Technical Documentation in ML
Ethics on the ground: from principles to practice
Accountable Data: The Politics and Pragmatics of Disclosure Datasets
POTs: protective optimization technologies
Algorithms as Social-Ecological-Technological Systems: an Environmental Justice Lens on Algorithmic Audits
Contrastive Language-Vision AI Models Pretrained on Web-Scraped Multimodal Data Exhibit Sexual Objectification Bias
Broadening AI Ethics Narratives: An Indic Art View
Augmented Datasheets for Speech Datasets and Ethical Decision-Making
Meaningful Transparency for Clinicians: Operationalising HCXAI Research with Gynaecologists
An Information Bottleneck Characterization of the Understanding-Workload Tradeoff in Human-Centered Explainable AI
Model agnostic interpretability of rankers via intent modelling
Achieving Fairness via Post-Processing in Web-Scale Recommender Systems✱
Navigating the Audit Landscape: A Framework for Developing Transparent and Auditable XR
Towards a critical race methodology in algorithmic fairness
What's fair is... fair? Presenting JustEFAB, an ethical framework for operationalizing medical ethics and social justice in the integration of clinical machine learning: JustEFAB
Healthsheet: Development of a Transparency Artifact for Health Datasets
Fairness in Machine Learning: Lessons from Political Philosophy
Epistemic Power in AI Ethics Labor: Legitimizing Located Complaints
Evidence for Hypodescent in Visual Semantic AI
AI in the Public Eye: Investigating Public AI Literacy Through AI Art
"I Searched for a Religious Song in Amharic and Got Sexual Content Instead'': Investigating Online Harm in Low-Resourced Languages on YouTube
Implications of AI (un-)fairness in higher education admissions: the effects of perceived AI (un-)fairness on exit, voice and organizational reputation
From Demo to Design in Teaching Machine Learning
Benchmarking the Fairness of Image Upsampling Methods
Fairness without Sensitive Attributes via Knowledge Sharing
Lessons from archives: strategies for collecting sociocultural data in machine learning
Not Even Nice Work If You Can Get It; A Longitudinal Study of Uber's Algorithmic Pay and Pricing
Your Browsing History May Cost You: A Framework for Discovering Differential Pricing in Non-Transparent Markets
Adversarial Nibbler: An Open Red-Teaming Method for Identifying Diverse Harms in Text-to-Image Generation
Fairness Violations and Mitigation under Covariate Shift
On the Independence of Association Bias and Empirical Fairness in Language Models
Benefits of the Federation? Analyzing the Impact of Fair Federated Learning at the Client Level
What People Think AI Should Infer From Faces
Diversity of What? On the Different Conceptualizations of Diversity in Recommender Systems
Evaluating the Contextual Integrity of False Positives in Algorithmic Travel Surveillance
Performance Differentials in Deployed Biometric Systems Caused by Open-Source Face Detectors
Equality of Voice: Towards Fair Representation in Crowdsourced Top-K Recommendations
Interpretable Active Learning
Mitigating bias in algorithmic hiring: evaluating claims and practices
Discrimination Induced by Algorithmic Recourse Objectives
Collective Constitutional AI: Aligning a Language Model with Public Input
Bridging Machine Learning and Mechanism Design towards Algorithmic Fairness
Disentangling the Components of Ethical Research in Machine Learning
Delayed and Indirect Impacts of Link Recommendations
Language variation and algorithmic bias: understanding algorithmic bias in British English automatic speech recognition
Whose tweets are surveilled for the police: an audit of a social-media monitoring tool via log files
Cross-Institutional Transfer Learning for Educational Models: Implications for Model Performance, Fairness, and Equity
Trade-offs between Group Fairness Metrics in Societal Resource Allocation
TILT: A GDPR-Aligned Transparency Information Language and Toolkit for Practical Privacy Engineering
Attitudes Toward Facial Analysis AI: A Cross-National Study Comparing Argentina, Kenya, Japan, and the USA
Racial categories in machine learning
Overriding (in)justice: pretrial risk assessment administration on the frontlines
Black Feminist Musings on Algorithmic Oppression
Algorithmic Fairness in Predicting Opioid Use Disorder using Machine Learning
Fairness-aware Model-agnostic Positive and Unlabeled Learning
Normative Logics of Algorithmic Accountability
Markedness in Visual Semantic AI
On Human Predictions with Explanations and Predictions of Machine Learning Models: A Case Study on Deception Detection
Bias in Bios: A Case Study of Semantic Representation Bias in a High-Stakes Setting
A structured regression approach for evaluating model performance across intersectional subgroups
Where do algorithmic accountability and explainability frameworks take us in the real world?: from theory to practice
"Like rearranging deck chairs on the Titanic"? Feasibility, Fairness, and Ethical Concerns of a Citizen Carbon Budget for Reducing CO2 Emissions
"Since Lawyers are Males..": Examining Implicit Gender Bias in Hindi Language Generation by LLMs
Positionality-aware machine learning: translation tutorial
The Many Faces of Fairness: Exploring the Institutional Logics of Multistakeholder Microlending Recommendation
Legacy Procurement Practices Shape How U.S. Cities Govern AI: Understanding Government Employees' Practices, Challenges, and Needs
Allocation Multiplicity: Evaluating the Promises of the Rashomon Set
The Fall of an Algorithm: Characterizing the Dynamics Toward Abandonment
Failing Our Youngest: On the Biases, Pitfalls, and Risks in a Decision Support Algorithm Used for Child Protection
Two Reasons for Subjecting Medical AI Systems to Lower Standards than Humans
News from Generative Artificial Intelligence Is Believed Less
Towards a multi-stakeholder value-based assessment framework for algorithmic systems
The Alchemy of Trust: The Creative Act of Designing Trustworthy Socio-Technical Systems
Automating Care: Online Food Delivery Work During the CoVID-19 Crisis in India
Legal Taxonomies of Machine Bias: Revisiting Direct Discrimination
Anticipatory Technology Ethics Reflection By Eliciting Creative AI Imaginaries Through Fictional Research Abstracts
Improving Fairness in AI Models on Electronic Health Records: The Case for Federated Learning Methods
How the Types of Consequences in Social Scoring Systems Shape People's Perceptions and Behavioral Reactions
Beyond Fairness: Reparative Algorithms to Address Historical Injustices of Housing Discrimination in the US
When Testing AI Tests Us: Safeguarding Mental Health on the Digital Frontlines
Randomness, Not Representation: The Unreliability of Evaluating Cultural Alignment in LLMs
Discrimination through Image Selection by Job Advertisers on Facebook
Net benefit, calibration, threshold selection, and training objectives for algorithmic fairness in healthcare
Scalable Fairness: The legal tool against power
Regulating Facial Processing Technologies: Tensions Between Legal and Technical Considerations in the Application of Illinois BIPA
Algorithmic Reproductive Justice
Trouble at Sea: Data and digital technology challenges for maritime human rights concerns
South Korean Public Value Coproduction Towards'AI for Humanity': A Synergy of Sociocultural Norms and Multistakeholder Deliberation in Bridging the Design and Implementation of National AI Ethics Guidelines
From Fair Decision Making To Social Equality
Garbage in, garbage out?: do machine learning application papers in social computing report where human-labeled training data comes from?
Un-Straightening Generative AI: How Queer Artists Surface and Challenge Model Normativity
FlipTest: fairness testing via optimal transport
An empirical study on the perceived fairness of realistic, imperfect machine learning models
Fairness Indicators for Systematic Assessments of Visual Feature Extractors
Interventions for ranking in the presence of implicit bias
Mapping the individual, social and biospheric impacts of Foundation Models
Evidence of What, for Whom? The Socially Contested Role of Algorithmic Bias in a Predictive Policing Tool
Algorithmic Harms and Algorithmic Wrongs
The Data Minimization Principle in Machine Learning
The World Wide recipe: A community-centred framework for fine-grained data collection and regional bias operationalisation
Reconciling Governmental Use of Online Targeting With Democracy
The Possibility of Fairness: Revisiting the Impossibility Theorem in Practice
Trucks Don't Mean Trump: Diagnosing Human Error in Image Analysis
The ethical ambiguity of AI data enrichment: Measuring gaps in research ethics norms and practices
Balancing Act: Evaluating People's Perceptions of Fair Ranking Metrics
Designing Accountable Systems
Epistemic Injustice in Algorithmic Systems and the Limits of Civil Rights Law
A Toolkit for Compliance, a Toolkit for Justice: Drawing on Cross-sectoral Expertise to Develop a Pro-justice EU AI Act Toolkit
Case study: predictive fairness to reduce misdemeanor recidivism through social service interventions
System-2 Recommenders: Disentangling Utility and Engagement in Recommendation Systems via Temporal Point-Processes
Learning to Limit Data Collection via Scaling Laws: A Computational Interpretation for the Legal Principle of Data Minimization
The Conflict Between Explainable and Accountable Decision-Making Algorithms
Explainability fact sheets: a framework for systematic assessment of explainable approaches
Understanding accountability in algorithmic supply chains
Studying up: reorienting the study of algorithmic fairness around issues of power
Pareto-Improving Data-Sharing✱
Fair decision making using privacy-protected data
German AI Start-Ups and "AI Ethics": Using A Social Practice Lens for Assessing and Implementing Socio-Technical Innovation
Fairness, accountability, transparency in AI at scale: lessons from national programs
On the Richness of Calibration
Formalizing Trust in Artificial Intelligence: Prerequisites, Causes and Goals of Human Trust in AI
Human-Algorithm Collaboration: Achieving Complementarity and Avoiding Unfairness
Avoiding Disparity Amplification under Different Worldviews
Disclosure by Design: Designing information disclosures to support meaningful transparency and accountability
Fairness Under Unawareness: Assessing Disparity When Protected Class Is Unobserved
Towards a Science of Human-AI Decision Making: An Overview of Design Space in Empirical Human-Subject Studies
CARMA: A practical framework to generate recommendations for causal algorithmic recourse at scale
Potential for Discrimination in Online Targeted Advertising
The Privacy-Bias Tradeoff: Data Minimization and Racial Disparity Assessments in U.S. Government
Regulating Algorithmic Management: A Multi-Stakeholder Study of Challenges in Aligning Software and the Law for Workplace Scheduling
Labor, Power, and Belonging: The Work of Voice in the Age of AI Reproduction
Female, white, 27? Bias Evaluation on Data and Algorithms for Affect Recognition in Faces
Understanding Gen Alpha's Digital Language: Evaluation of LLM Safety Systems for Content Moderation
Imperfect Inferences: A Practical Assessment
The Impact and Opportunities of Generative AI in Fact-Checking
Towards Accountability for Machine Learning Datasets: Practices from Software Engineering and Infrastructure
Push and Pull: A Framework for Measuring Attentional Agency on Digital Platforms
Regulating ChatGPT and other Large Generative AI Models
When Collaborative Filtering is not Collaborative: Unfairness of PCA for Recommendations
Auditing radicalization pathways on YouTube
Better Together?: How Externalities of Size Complicate Notions of Solidarity and Actuarial Fairness
Preventing Discriminatory Decision-making in Evolving Data Streams
AI Failure Cards: Understanding and Supporting Grassroots Efforts to Mitigate AI Failures in Homeless Services
Access to Population-Level Signaling as a Source of Inequality
Bias Against 93 Stigmatized Groups in Masked Language Models and Downstream Sentiment Classification Tasks
Tackling Language Modelling Bias in Support of Linguistic Diversity
Rethinking Transparency as a Communicative Constellation
Which Stereotypes Are Moderated and Under-Moderated in Search Engine Autocompletion?
Beyond Semantics: Examining Gender Bias in LLMs Deployed within Low-resource Contexts in India
Providing Item-side Individual Fairness for Deep Recommender Systems
Generalized People Diversity: Learning a Human Perception-Aligned Diversity Representation for People Images
From Lived Experience to Insight: Unpacking the Psychological Risks of Using AI Conversational Agents
Investigating and Designing for Trust in AI-powered Code Generation Tools
Oh the Prices You'll See: Designing a Fair Exchange System to Mitigate Personalized Pricing
The Long Arc of Fairness: Formalisations and Ethical Discourse
Ground(less) Truth: A Causal Framework for Proxy Labels in Human-Algorithm Decision-Making
Using Supervised Learning to Estimate Inequality in the Size and Persistence of Income Shocks
Allocating Opportunities in a Dynamic Model of Intergenerational Mobility
Auditing the Audits: Lessons for Algorithmic Accountability from Local Law 144's Bias Audits
Lost in Machine Translation: The Sociocultural Implications of Language Technologies in Nigeria
Gender Representation Across Online Retail Products
Flipping the Script on Criminal Justice Risk Assessment: An actuarial model for assessing the risk the federal sentencing system poses to defendants
Biases in Generative Art: A Causal Look from the Lens of Art History
"We try to empower them" - Exploring Future Technologies to Support Migrant Jobseekers
Bias on Demand: A Modelling Framework That Generates Synthetic Data With Bias
Counterfactual Prediction Under Outcome Measurement Error
Runaway Feedback Loops in Predictive Policing
From the Fair Distribution of Predictions to the Fair Distribution of Social Goods: Evaluating the Impact of Fair Machine Learning on Long-Term Unemployment
A Causal Perspective on Label Bias
DeceptiLens: an Approach supporting Transparency in Deceptive Pattern Detection based on a Multimodal Large Language Model
Organizational Governance of Emerging Technologies: AI Adoption in Healthcare
Enforcing Group Fairness in Algorithmic Decision Making: Utility Maximization Under Sufficiency
Crossing Boundaries: Leveraging Semantic Divergences to Explore Cultural Novelty in Cooking Recipes
Large Language Models Portray Socially Subordinate Groups as More Homogeneous, Consistent with a Bias Observed in Humans
The social lives of generative adversarial networks
GetFair: Generalized Fairness Tuning of Classification Models
A Data-driven analysis of the interplay between Criminological theory and predictive policing algorithms
At the Tensions of South and North: Critical Roles of Global South Stakeholders in AI Governance
Can an algorithmic system be a 'friend' to a police officer's discretion?: ACM FAT 2020 translation tutorial
BOLD: Dataset and Metrics for Measuring Biases in Open-Ended Language Generation
Algorithmic Transparency from the South: Examining the state of algorithmic transparency in Chile's public administration algorithms
Creating community-based tech policy: case studies, lessons learned, and what technologists and communities can do together
Algorithmic realism: expanding the boundaries of algorithmic thought
"How Biased are Your Features?": Computing Fairness Influence Functions with Global Sensitivity Analysis
Classifying Hate: Legal and Ethical Evaluations of ML-Assisted Hate Crime Classification and Estimation in Sweden
Envisioning Equitable Speech Technologies for Black Older Adults
Trustworthy ML Regulation as a Principal-Agent Problem
Reflexive Prompt Engineering: A Framework for Responsible Prompt Engineering and AI Interaction Design
Deep Weighted Averaging Classifiers
Using collective dialogues and AI to find common ground between Israeli and Palestinian peacebuilders
Exploring How Machine Learning Practitioners (Try To) Use Fairness Toolkits
Towards Fair Unsupervised Learning
Towards Intersectional Feminist and Participatory ML: A Case Study in Supporting Feminicide Counterdata Collection
Characterizing Properties and Trade-offs of Centralized Delegation Mechanisms in Liquid Democracy
Missing Pieces: How Do Designs that Expose Uncertainty Longitudinally Impact Trust in AI Decision Aids? An In Situ Study of Gig Drivers
Social Inclusion in Curated Contexts: Insights from Museum Practices
Towards Uncertainty Aware Task Delegation and Human-AI Collaborative Decision-Making
Operationalizing Framing to Support Multiperspective Recommendations of Opinion Pieces
Component-Based Fairness in Face Attribute Classification with Bayesian Network-informed Meta Learning
Attribute Privacy: Framework and Mechanisms
Explainable Artificial Intelligence for Academic Performance Prediction. An Experimental Study on the Impact of Accuracy and Simplicity of Decision Trees on Causability and Fairness Perceptions
From Confusion to Clarity: ProtoScore - A Framework for Evaluating Prototype-Based XAI
Our Collective Voices: The Social and Technical Values of a Grassroots Chinese Stuttered Speech Dataset
"It's not a representation of me": Examining Accent Bias and Digital Exclusion in Synthetic AI Voice Services
Counterfactual risk assessments, evaluation, and fairness
One Model Many Scores: Using Multiverse Analysis to Prevent Fairness Hacking and Evaluate the Influence of Model Design Decisions
"Meaningful Information" and the Right to Explanation
Mitigating Group Bias in Federated Learning for Heterogeneous Devices
The relationship between trust in AI and trustworthy machine learning technologies
How to investigate algorithmic-driven risks in online platforms and search engines? A narrative review through the lens of the EU Digital Services Act
Auditing for Bias in Ad Delivery Using Inferred Demographic Attributes
On the Power of Randomization in Fair Classification and Representation
African Data Ethics: A Discursive Framework for Black Decolonial AI
Knowledge-Enhanced Language Models Are Not Bias-Proof: Situated Knowledge and Epistemic Injustice in AI
"Ownership, Not Just Happy Talk": Co-Designing a Participatory Large Language Model for Journalism
From policy to practice in data governance and responsible data stewardship: system design for data intermediaries
Privacy for All: Ensuring Fair and Equitable Privacy Protections
A Decision Theoretic Framework for Measuring AI Reliance
Auditing Image-based NSFW Classifiers for Content Filtering