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Problem Formulation and Fairness

https://doi.org/10.1145/3287560.3287567
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inferred← citeshttps://doi.org/10.1145/3603195.3603207openalex-snapshot
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inferred← citeshttps://doi.org/10.1145/3603195.3603208openalex-snapshot
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inferred← citeshttps://doi.org/10.1145/3603195.3603209openalex-snapshot
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inferred← citeshttps://doi.org/10.1145/3603195.3603210openalex-snapshot
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inferred← citeshttps://doi.org/10.1145/3603195.3603211openalex-snapshot
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inferred← citeshttps://doi.org/10.1145/3603195.3603212openalex-snapshot
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inferred← citeshttps://doi.org/10.1145/3603195.3603213openalex-snapshot
Bibliography
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Authors’ Biographies/Index
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Sketching AI Concepts with Capabilities and Examples: AI Innovation in the Intensive Care Unit
inferred← citeshttps://doi.org/10.1145/3613904.3642402openalex-snapshot
Data Ethics Emergency Drill: A Toolbox for Discussing Responsible AI for Industry Teams
inferred← citeshttps://doi.org/10.1145/3613904.3642474openalex-snapshot
The Who in XAI: How AI Background Shapes Perceptions of AI Explanations
inferred← citeshttps://doi.org/10.1145/3613904.3642501openalex-snapshot
Towards a Non-Ideal Methodological Framework for Responsible ML
inferred← citeshttps://doi.org/10.1145/3613904.3642692openalex-snapshot
Exploring AI Problem Formulation with Children via Teachable Machines
inferred← citeshttps://doi.org/10.1145/3613904.3642738openalex-snapshot
Are We Asking the Right Questions?: Designing for Community Stakeholders’ Interactions with AI in Policing
inferred← citeshttps://doi.org/10.1145/3613904.3642849openalex-snapshot
The Situate AI Guidebook: Co-Designing a Toolkit to Support Multi-Stakeholder, Early-stage Deliberations Around Public Sector AI Proposals
inferred← citeshttps://doi.org/10.1145/3617694.3623228openalex-snapshot
Power and Public Participation in AI
inferred← citeshttps://doi.org/10.1145/3617694.3623256openalex-snapshot
Unraveling the Interconnected Axes of Heterogeneity in Machine Learning for Democratic and Inclusive Advancements
inferred← citeshttps://doi.org/10.1145/3617694.3623259openalex-snapshot
Toward Operationalizing Pipeline-aware ML Fairness: A Research Agenda for Developing Practical Guidelines and Tools
inferred← citeshttps://doi.org/10.1145/3630106.3658955openalex-snapshot
Machine learning data practices through a data curation lens: An evaluation framework
inferred← citeshttps://doi.org/10.1145/3630106.3658991openalex-snapshot
Evidence of What, for Whom? The Socially Contested Role of Algorithmic Bias in a Predictive Policing Tool
inferred← citeshttps://doi.org/10.1145/3630106.3659044openalex-snapshot
Recommend Me? Designing Fairness Metrics with Providers
inferred← citeshttps://doi.org/10.1145/3636509openalex-snapshot
Against Predictive Optimization: On the Legitimacy of Decision-making Algorithms That Optimize Predictive Accuracy
inferred← citeshttps://doi.org/10.1145/3637360openalex-snapshot
"It's the most fair thing to do but it doesn't make any sense": Perceptions of Mathematical Fairness Notions by Hiring Professionals
inferred← citeshttps://doi.org/10.1145/3637396openalex-snapshot
Seamful XAI: Operationalizing Seamful Design in Explainable AI
inferred← citeshttps://doi.org/10.1145/3653705openalex-snapshot
Tinker, Tailor, Configure, Customize: The Articulation Work of Contextualizing an AI Fairness Checklist
inferred← citeshttps://doi.org/10.1145/3686989openalex-snapshot
Studying Up Public Sector AI: How Networks of Power Relations Shape Agency Decisions Around AI Design and Use
inferred← citeshttps://doi.org/10.1145/3689485openalex-snapshot
When Small Decisions Have Big Impact: Fairness Implications of Algorithmic Profiling Schemes
inferred← citeshttps://doi.org/10.1145/3689904.3694698openalex-snapshot
Stakeholder Involvement for Responsible AI Development: A Process Framework
inferred← citeshttps://doi.org/10.1145/3689904.3694706openalex-snapshot
Ending Affirmative Action Harms Diversity Without Improving Academic Merit
inferred← citeshttps://doi.org/10.1145/3706598.3713664openalex-snapshot
Tempo: Helping Data Scientists and Domain Experts Collaboratively Specify Predictive Modeling Tasks
inferred← citeshttps://doi.org/10.1145/3706598.3713729openalex-snapshot
“A Bridge to Nowhere”: A Healthcare Case Study for Non-Reformist Design
inferred← citeshttps://doi.org/10.1145/3706598.3713978openalex-snapshot
Why does Automation Adoption in Organizations Remain a Fallacy?: Scrutinizing Practitioners' Imaginaries in an International Airport
inferred← citeshttps://doi.org/10.1145/3706598.3714098openalex-snapshot
AI Mismatches: Identifying Potential Algorithmic Harms Before AI Development
inferred← citeshttps://doi.org/10.1145/3706598.3714144openalex-snapshot
"The Conduit by which Change Happens": Processes, Barriers, and Support for Interpersonal Learning about Responsible AI
inferred← citeshttps://doi.org/10.1145/3711076openalex-snapshot
Supporting Industry Computing Researchers in Assessing, Articulating, and Addressing the Potential Negative Societal Impact of Their Work
inferred← citeshttps://doi.org/10.1145/3712310openalex-snapshot
A Responsible and Inclusive Technology Framework for Attending to Business-to-Business Contexts
inferred← citeshttps://doi.org/10.1145/3715275.3732070openalex-snapshot
Perils of Label Indeterminacy: A Case Study on Prediction of Neurological Recovery After Cardiac Arrest
inferred← citeshttps://doi.org/10.1145/3715275.3732093openalex-snapshot
Historical Methods for AI Evaluations, Assessments, and Audits
inferred← citeshttps://doi.org/10.1145/3715275.3732122openalex-snapshot
Misabstraction in Sociotechnical Systems
inferred← citeshttps://doi.org/10.1145/3715275.3732146openalex-snapshot
The Value of Disagreement in AI Design, Evaluation, and Alignment
inferred← citeshttps://doi.org/10.1145/3715275.3732160openalex-snapshot
Nteasee: Understanding Needs in AI for Health in Africa - A Mixed-Methods Study of Expert and General Population Perspectives
inferred← citeshttps://doi.org/10.1145/3715275.3732191openalex-snapshot
The ``Who", ``What", and ``How" of Responsible AI Governance: A Systematic Review and Meta-Analysis of (Actor, Stage)-Specific Tools
inferred← citeshttps://doi.org/10.1145/3715336.3735745openalex-snapshot
Making the Right Thing: Bridging HCI and Responsible AI in Early-Stage AI Concept Selection
inferred← citeshttps://doi.org/10.1145/3718986openalex-snapshot
Beyond Accuracy: Rethinking Outlier Detection in Asylum Data
inferred← citeshttps://doi.org/10.1145/3725858openalex-snapshot
Legitimate Power, Illegitimate Automation: The problem of ignoring legitimacy in automated decision systems
inferred← citeshttps://doi.org/10.1145/3757514openalex-snapshot
Towards a Responsible AI Organizational Maturity Model
inferred← citeshttps://doi.org/10.1145/3757628openalex-snapshot
Measurement as Bricolage: Examining How Data Scientists Construct Target Variables for Predictive Modeling Tasks
inferred← citeshttps://doi.org/10.1145/3769689openalex-snapshot
Communication Bias in Large Language Models: A Regulatory Perspective
inferred← citeshttps://doi.org/10.1145/3772318.3791306openalex-snapshot
Contextualizing Datasets: Deepening Awareness of Data Biases through Critical Reflection of Civic Data
inferred← citeshttps://doi.org/10.1145/3772318.3791864openalex-snapshot
Negotiating the Real World of Domestic Service Robotics
inferred← citeshttps://doi.org/10.1145/3772318.3791883openalex-snapshot
Active and Passive Decisions: How Ethical Choices Are Made (and Missed) in NLP Research
inferred← citeshttps://doi.org/10.1145/3772363.3798953openalex-snapshot
"To LLM, or Not to LLM?": How Designers and Developers Navigate LLMs as Tools or Teammates
inferred← citeshttps://doi.org/10.1145/3786579.3804946openalex-snapshot
“But Who Takes the Liability?”: Analyzing Clinician Discourse on AI in Primary Care
inferred← citeshttps://doi.org/10.1145/3800645.3812991openalex-snapshot
AI Design Sprints: Facilitating AI Innovation within Cross-functional Industry Teams
inferred← citeshttps://doi.org/10.1145/3805689.3806436openalex-snapshot
Is your AI Model Accurate Enough? The Difficult Choices Behind Rigorous AI Development and the EU AI Act
inferred← citeshttps://doi.org/10.1145/3805689.3806512openalex-snapshot
Risks and Opportunities in Human-Machine Teaming in Operationalizing Machine Learning Target Variables
inferred← citeshttps://doi.org/10.1145/3805689.3806721openalex-snapshot
LLM Evaluation as Sociotechnical Practice: Experiences from a Research-Practice Partnership in Community Health
inferred← citeshttps://doi.org/10.1145/3805689.3806736openalex-snapshot
To Build or Not to Build? Factors that Lead to Non-Development or Abandonment of AI Systems
inferred← citeshttps://doi.org/10.1145/3805689.3812298openalex-snapshot
You can't solve democracy in Q3: A Critical Analysis of Corporate Initiatives to Democratize AI
inferred← citeshttps://doi.org/10.1145/3805689.3812307openalex-snapshot
The Fair Lending Model: How the Longest-Running Algorithmic Fairness Programs Work in Practice
inferred← citeshttps://doi.org/10.1145/3805689.3812310openalex-snapshot
Falsifying Discriminant Validity of Predictive Algorithms
inferred← citeshttps://doi.org/10.1145/3805689.3812313openalex-snapshot
“Detective Work We Shouldn't Have to Do”: Practitioner Challenges in Regulatory-Aligned Data Quality in Machine Learning Systems
inferred← citeshttps://doi.org/10.1145/3805689.3812391openalex-snapshot
Conformal Prediction and the Many-Worlds of Fairness
inferred← citeshttps://doi.org/10.1145/3805689.3812405openalex-snapshot
Scrutinizing Index-Based Risk Assessments: A Case Study in NYC Decision-making for Heat Emergency Management
inferred← citeshttps://doi.org/10.1145/3816975openalex-snapshot
Moving Targets in Collaborative Science: Boundary Spanning in Transdisciplinary Iterative Problem Formation
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