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Disparate Interactions

https://doi.org/10.1145/3287560.3287563
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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

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Judgmental forecasts of time series affected by special events: does providing a statistical forecast improve accuracy?
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Making sense of recommendations
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Judgemental adjustment of initial forecasts: Its effectiveness and biases
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Receiving other people’s advice: Influence and benefit
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Algorithm appreciation: People prefer algorithmic to human judgment
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Clinical versus statistical prediction: A theoretical analysis and a review of the evidence.
inferredcites →https://doi.org/10.1037/ser0000075openalex-snapshot
Performance of recidivism risk assessment instruments in U.S. correctional settings.
inferredcites →https://doi.org/10.1037/xge0000033openalex-snapshot
Algorithm Aversion: People Erroneously Avoid Algorithms after Seeing Them Err
inferredcites →https://doi.org/10.1086/666006openalex-snapshot
Do Judges Vary in Their Treatment of Race?
inferredcites →https://doi.org/10.1086/686941openalex-snapshot
A Punishing Look: Skin Tone and Afrocentric Features in the Halls of Justice
inferredcites →https://doi.org/10.1086/705880openalex-snapshot
The Unintended Consequences of 'Ban the Box': Statistical Discrimination and Employment Outcomes When Criminal Histories Are Hidden
inferredcites →https://doi.org/10.1089/big.2016.0047openalex-snapshot
Fair Prediction with Disparate Impact: A Study of Bias in Recidivism Prediction Instruments
inferredcites →https://doi.org/10.1093/oso/9780198782063.003.0016openalex-snapshot
Demarginalizing the Intersection of Race and Sex: A Black Feminist Critique of Antidiscrimination Doctrine, Feminist Theory, and Antiracist Politics
inferredcites →https://doi.org/10.1093/qje/qjx028openalex-snapshot
Ban the Box, Criminal Records, and Racial Discrimination: A Field Experiment*
inferredcites →https://doi.org/10.1093/qje/qjx032openalex-snapshot
Human Decisions and Machine Predictions
inferredcites →https://doi.org/10.1111/j.1467-9280.2006.01716.xopenalex-snapshot
Looking Deathworthy
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Predicting Civil Jury Verdicts: How Attorneys Use (and Misuse) a Second Opinion
inferredcites →https://doi.org/10.1126/sciadv.aao5580openalex-snapshot
The accuracy, fairness, and limits of predicting recidivism
inferredcites →https://doi.org/10.1126/science.aat4510openalex-snapshot
Artificial intelligence could identify gang crimes—and ignite an ethical firestorm
inferredcites →https://doi.org/10.1145/2783258.2783311openalex-snapshot
Certifying and Removing Disparate Impact
inferredcites →https://doi.org/10.1145/302979.303030openalex-snapshot
Principles of mixed-initiative user interfaces
inferredcites →https://doi.org/10.1145/3172944.3172983openalex-snapshot
Creative Writing with a Machine in the Loop
inferredcites →https://doi.org/10.1145/3411764.3445315openalex-snapshot
Manipulating and Measuring Model Interpretability
inferredcites →https://doi.org/10.1177/00027649921955335openalex-snapshot
Reconstructing Technologies as Social Practice
inferredcites →https://doi.org/10.1177/154193129804200304openalex-snapshot
Automation Bias and Errors: Are Teams Better than Individuals?
inferredcites →https://doi.org/10.1198/016214506000001437openalex-snapshot
Strictly Proper Scoring Rules, Prediction, and Estimation
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Greedy function approximation: A gradient boosting machine.
inferredcites →https://doi.org/10.1257/0002828042002561openalex-snapshot
Are Emily and Greg More Employable Than Lakisha and Jamal? A Field Experiment on Labor Market Discrimination
inferredcites →https://doi.org/10.1287/mnsc.2016.2643openalex-snapshot
Overcoming Algorithm Aversion: People Will Use Imperfect Algorithms If They Can (Even Slightly) Modify Them
inferredcites →https://doi.org/10.1609/aaai.v29i1.9335openalex-snapshot
When Suboptimal Rules
inferredcites →https://doi.org/10.21061/jots.v32i1.a.4openalex-snapshot
Automation and Accountability in Decision Support System Interface Design
inferredcites →https://doi.org/10.2139/ssrn.3016088openalex-snapshot
Assessing Risk Assessment in Action
inferredcites →https://doi.org/10.2139/ssrn.3168452openalex-snapshot
The Public Safety Assessment: A Re-Validation and Assessment of Predictive Utility and Differential Prediction by Race and Gender in Kentucky
inferredcites →https://doi.org/10.2307/1418552openalex-snapshot
Clinical versus Statistical Prediction: A Theoretical Analysis and a Review of the Evidence
inferredcites →https://doi.org/10.3386/w23180openalex-snapshot
Human Decisions and Machine Predictions
inferredcites →https://doi.org/10.3390/en10020194openalex-snapshot
Data-Reconciliation Based Fault-Tolerant Model Predictive Control for a Biomass Boiler
inferredcites →https://doi.org/10.4135/9781071920541.n114openalex-snapshot
Office of Justice Programs
inferredcites →https://doi.org/10.4271/2010-01-0367openalex-snapshot
Algorithm-in-the-Loop with Plant Model Simulation, Reusable Test Suite in Production Codes Verification and Controller Hardware-in-the-Loop Bench Testing
inferredcites →https://doi.org/10.4324/9780429500480-5openalex-snapshot
Demarginalizing the Intersection of Race and Sex: A Black Feminist Critique of Antidiscrimination Doctrine, Feminist Theory, and Antiracist Politics [1989]
inferredcites →https://doi.org/10.48550/arxiv.1610.02413openalex-snapshot
Equality of Opportunity in Supervised Learning
inferredcites →https://doi.org/10.48550/arxiv.1702.08608openalex-snapshot
Towards A Rigorous Science of Interpretable Machine Learning
inferredcites →https://doi.org/10.48550/arxiv.1802.00682openalex-snapshot
How do Humans Understand Explanations from Machine Learning Systems? An Evaluation of the Human-Interpretability of Explanation
inferredcites →https://doi.org/10.5555/2343576.2343643openalex-snapshot
Combining human and machine intelligence in large-scale crowdsourcing

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

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The Ethics of Algorithms: Key Problems and Solutions
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Resilience in the Storm: Adaptive Robo-Advisors Outperform Human Investors during the COVID-19 Financial Market Turmoil
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Human Discernment of Algorithmic Errors: A Case Study in Child Welfare
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Fair Governance with Humans and Machines
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Towards Augmented Financial Intelligence
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FAT-CAT for Explainability and Augmentation for an Ai System a Case Study on the AI Recruitment System Adoption
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Supporting Information Integration in Human-AI Augmentation via Reflection on Unobservables
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A Simple Solution to Improving Human Supervision of Algorithms: Evidence from Smart Vending
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Designing for human–AI complementarity in K‐12 education
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Algorithms and autonomy: The ethics of automated decision systems. RubelAlanCastroClintonPhamAdamCambridge University Press, 2021. 206 pp. £ 29.99 (paperback). (9781108795395)
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Navigating AI Convergence in Human–Artificial Intelligence Teams: A Signaling Theory Approach
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The Human(s) in the Loop—Bringing AI and HCI Together
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Sage Advice? The Impacts of Explanations for Machine Learning Models on Human Decision-Making in Spam Detection
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The Ethics of Algorithms: Key Problems and Solutions
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D-WISE Tool Suite for the Sociology of Knowledge Approach to Discourse
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More Sustainable Text Classification via Uncertainty Sampling and a Human-in-the-Loop
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XAI-Supported Decision-Making: Insights from NeuroIS Studies for a User Perspective
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Learning to Complement and to Defer to Multiple Users
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Framework for Managing Artificial Intelligence (AI) Projects: Avoiding Harms, Losses, and Damages
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Ethical Considerations of Human-AI Collaboration: A Normative Perspective for Organizational Practice
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Artificial Intelligence-Driven Approaches and Their Impact on Criminal Justice: A Soft Computing Perspective
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Bridging the Principle–Practice Gap in Responsible AI: A Cross-Domain Review
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Distributive Effects of AI Support: A Framework for Analyzing Performance Shifts Within Groups
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The Rule of Law for Artificial Intelligence in Public Administration: A System Safety Perspective
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Addressing Overreliance on AI
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Ethical AI Assessment: A Framework with Composite Scores
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Crowd-Powered Source Searching in Complex Environments
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The ethics of algorithms: key problems and solutions
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Are AI systems biased against the poor? A machine learning analysis using Word2Vec and GloVe embeddings
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On prediction-modelers and decision-makers: why fairness requires more than a fair prediction model
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Judging the algorithm
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The more you think you know: AI experience, literacy, heuristics, and perceived AI authorship
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From selfies to synthetic faces: selective aesthetic compression in East Asian beauty representation
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Decision substitution and the reorganisation of judgement in AI-mediated society
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Evaluating causes of algorithmic bias in juvenile criminal recidivism
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A comparative user study of human predictions in algorithm-supported recidivism risk assessment
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Algorithmic fairness datasets: the story so far
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Individualized help for at-risk students using model-agnostic and counterfactual explanations
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Might Technology Undermine First-Person Authority?
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Weapons of moral construction? On the value of fairness in algorithmic decision-making
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Legitimacy and automated decisions: the moral limits of algocracy
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Toward Sociotechnical AI: Mapping Vulnerabilities for Machine Learning in Context
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Effective Human Oversight of AI-Based Systems: A Signal Detection Perspective on the Detection of Inaccurate and Unfair Outputs
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Exploring the impact of explainable AI and cognitive capabilities on users’ decisions
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Disentangling Human-AI Hybrids
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Escaping the Impossibility of Fairness: From Formal to Substantive Algorithmic Fairness
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Personalization in Australian K-12 classrooms: how might digital teaching and learning tools produce intangible consequences for teachers’ workplace conditions?
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Analyzing the impact of missing values and selection bias on fairness
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Pursuing open-source development of predictive algorithms: the case of criminal sentencing algorithms
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AI audits for assessing design logics and building ethical systems: the case of predictive policing algorithms
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Fairness as adequacy: a sociotechnical view on model evaluation in machine learning
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Operationalising ethical AI governance: a triadic framework for the European AI act
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Human-machine collaboration in managerial decision making
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The pursuit of algorithmic fairness: On “Correcting” algorithmic unfairness in a child welfare reunification success classifier
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The flaws of policies requiring human oversight of government algorithms
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Explainability for experts: A design framework for making algorithms supporting expert decisions more explainable
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Stakeholder roles in artificial intelligence projects
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Are cutting-edge technologies transforming classical approaches in automated hiring systems ? A systematic literature review
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The Communication of Risk to Legal Decision-Makers
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Fehlgeleitete Hoffnungen?
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Public’s views of risk assessment algorithms and pretrial decision making.
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How machine-learning recommendations influence clinician treatment selections: the example of antidepressant selection
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Evaluating human–machine collaboration through a comparative analysis of experts, machine learning, and hybrid approaches in real estate valuation
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Reimagining the machine learning life cycle to improve educational outcomes of students
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Fairness Perceptions of Artificial Intelligence: A Review and Path Forward
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AI Fairness in Action: A Human-Computer Perspective on AI Fairness in Organizations and Society
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Leading AI Adoption in Organizations: Introducing a Behavioral Human-Centered Approach
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Which Information Matters? Measuring Landlord Assessment of Tenant Screening Reports
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Combining uncertainty information with AI recommendations supports calibration with domain knowledge
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Reparative Urban Science: Challenging the Myth of Neutrality and Crafting Data-Driven Narratives
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Augmented teachers: K–12 teachers’ needs for artificial intelligence’s complementary role in personalized learning
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Framework for human–XAI symbiosis: extended self from the dual-process theory perspective
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What should AI explain to you? Visions of older adults regarding explainable AI
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Human–AI Interactions in Public Sector Decision Making: “Automation Bias” and “Selective Adherence” to Algorithmic Advice
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Experimental evaluation of algorithm-assisted human decision-making: application to pretrial public safety assessment*
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The Ethics of Artificial Intelligence
inferred← citeshttps://doi.org/10.1093/oso/9780198883098.002.0003openalex-snapshot
Copyright Page
inferred← citeshttps://doi.org/10.1093/oso/9780198883098.002.0004openalex-snapshot
Dedication
inferred← citeshttps://doi.org/10.1093/oso/9780198883098.002.0005openalex-snapshot
Epigraph
inferred← citeshttps://doi.org/10.1093/oso/9780198883098.002.0007openalex-snapshot
Preface
inferred← citeshttps://doi.org/10.1093/oso/9780198883098.002.0009openalex-snapshot
List of Figures
inferred← citeshttps://doi.org/10.1093/oso/9780198883098.002.0010openalex-snapshot
List of Tables
inferred← citeshttps://doi.org/10.1093/oso/9780198883098.002.0011openalex-snapshot
List of Most Common Abbreviations and Acronyms
inferred← citeshttps://doi.org/10.1093/oso/9780198883098.003.0001openalex-snapshot
Past
inferred← citeshttps://doi.org/10.1093/oso/9780198883098.003.0002openalex-snapshot
Present
inferred← citeshttps://doi.org/10.1093/oso/9780198883098.003.0003openalex-snapshot
Future
inferred← citeshttps://doi.org/10.1093/oso/9780198883098.003.0004openalex-snapshot
A Unified Framework of Ethical Principles for AI
inferred← citeshttps://doi.org/10.1093/oso/9780198883098.003.0005openalex-snapshot
From Principles to Practices
inferred← citeshttps://doi.org/10.1093/oso/9780198883098.003.0006openalex-snapshot
Soft Ethics and the Governance of AI
inferred← citeshttps://doi.org/10.1093/oso/9780198883098.003.0007openalex-snapshot
Mapping the Ethics of Algorithms
inferred← citeshttps://doi.org/10.1093/oso/9780198883098.003.0008openalex-snapshot
Bad Practices
inferred← citeshttps://doi.org/10.1093/oso/9780198883098.003.0009openalex-snapshot
Good Practices
inferred← citeshttps://doi.org/10.1093/oso/9780198883098.003.0010openalex-snapshot
How to Deliver a Good AI Society
inferred← citeshttps://doi.org/10.1093/oso/9780198883098.003.0011openalex-snapshot
The Gambit
inferred← citeshttps://doi.org/10.1093/oso/9780198883098.003.0012openalex-snapshot
AI and the UN Sustainable Development Goals
inferred← citeshttps://doi.org/10.1093/oso/9780198883098.003.0013openalex-snapshot
Conclusion
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On the consequences of AI bias: when moral values supersede algorithm bias
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A Labeling Task Design for Supporting Recent Algorithmic Needs
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Algorithmic Decision Making in Education: Challenges and Opportunities
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Risk-Aware Human-AI Collaboration Framework for High-Stakes Decision Systems
inferred← citeshttps://doi.org/10.1109/icdcc62744.2024.10961659openalex-snapshot
Resume Ranking with TF-IDF, Cosine Similarity and Named Entity Recognition
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Human-Centric AI Cyber-Resilience in HealthTech: An Empirical Study in Moroccan Healthcare Organizations
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Phased Evolution of Teacher-AI Collaboration for the Effective Mentoring in Teacher Education
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A Critical Analysis of the Palantir Manifesto: Technology, Power, and the Future of the West
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Ex(plainable) Machina: how social-implicit XAI affects complex human-robot teaming tasks
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What Guides Our Choices? Modeling Developers' Trust and Behavioral Intentions Towards Genai
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Survey on AI Sustainability: Emerging Trends on Learning Algorithms and Research Challenges [Review Article]
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AI Governance for Workforce Development: A Conceptual Framework for Reskilling and Upskilling
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Unfair! Perceptions of Fairness in Human-Robot Teams
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Level of Automation and Accountability in Artificial Intelligence (AI) Projects: An Empirical Study
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Improving Tactical Decision-Making Through Multiobjective Contrastive Explanations
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Graph embedding and transfer learning can help predict potential species interaction networks despite data limitations
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The law in computation: What machine learning, artificial intelligence, and big data mean for law and society scholarship
inferred← citeshttps://doi.org/10.1111/phc3.12760openalex-snapshot
Algorithmic bias: Senses, sources, solutions
inferred← citeshttps://doi.org/10.1111/poms.14029openalex-snapshot
Judge me on my losers: Do robo‐advisors outperform human investors during the COVID‐19 financial market crash?
inferred← citeshttps://doi.org/10.1111/puar.13293openalex-snapshot
Accountable Artificial Intelligence: Holding Algorithms to Account
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Mapping Human–AI Teaming in Risk Analysis: Role Evolution, Thematic Landscape, and Governance Mechanisms From News Media
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The limits of human predictions of recidivism
inferred← citeshttps://doi.org/10.1145/3308560.3317595openalex-snapshot
Quantifying the Impact of User Attentionon Fair Group Representation in Ranked Lists
inferred← citeshttps://doi.org/10.1145/3313831.3376257openalex-snapshot
Do I Look Like a Criminal? Examining how Race Presentation Impacts Human Judgement of Recidivism
inferred← citeshttps://doi.org/10.1145/3313831.3376638openalex-snapshot
A Case for Humans-in-the-Loop: Decisions in the Presence of Erroneous Algorithmic Scores
inferred← citeshttps://doi.org/10.1145/3313831.3376873openalex-snapshot
"Why is 'Chicago' deceptive?" Towards Building Model-Driven Tutorials for Humans
inferred← citeshttps://doi.org/10.1145/3322640.3326705openalex-snapshot
Why Machine Learning May Lead to Unfairness
inferred← citeshttps://doi.org/10.1145/3334480.3375158openalex-snapshot
Human-Centered Approaches to Fair and Responsible AI
inferred← citeshttps://doi.org/10.1145/3340531.3412705openalex-snapshot
LiFT
inferred← citeshttps://doi.org/10.1145/3340631.3395384openalex-snapshot
Does My AI Help or Hurt? Exploring Human-AI Complementarity
inferred← citeshttps://doi.org/10.1145/3351095.3372827openalex-snapshot
"The human body is a black box"
inferred← citeshttps://doi.org/10.1145/3351095.3372840openalex-snapshot
Algorithmic realism
inferred← citeshttps://doi.org/10.1145/3351095.3372869openalex-snapshot
The false promise of risk assessments
inferred← citeshttps://doi.org/10.1145/3351095.3372873openalex-snapshot
Closing the AI accountability gap
inferred← citeshttps://doi.org/10.1145/3351095.3372874openalex-snapshot
Toward situated interventions for algorithmic equity
inferred← citeshttps://doi.org/10.1145/3359130openalex-snapshot
Crowdsourcing Perceptions of Fair Predictors for Machine Learning
inferred← citeshttps://doi.org/10.1145/3359152openalex-snapshot
The Principles and Limits of Algorithm-in-the-Loop Decision Making
inferred← citeshttps://doi.org/10.1145/3359221openalex-snapshot
This Thing Called Fairness
inferred← citeshttps://doi.org/10.1145/3359280openalex-snapshot
Human Decision Making with Machine Assistance
inferred← citeshttps://doi.org/10.1145/3359301openalex-snapshot
Discrimination through Optimization
inferred← citeshttps://doi.org/10.1145/3375627.3375869openalex-snapshot
The Perils of Objectivity
inferred← citeshttps://doi.org/10.1145/3377325.3377498openalex-snapshot
Proxy tasks and subjective measures can be misleading in evaluating explainable AI systems
inferred← citeshttps://doi.org/10.1145/3394231.3397922openalex-snapshot
Misplaced Trust: Measuring the Interference of Machine Learning in Human Decision-Making
inferred← citeshttps://doi.org/10.1145/3412815.3416893openalex-snapshot
Tree Space Prototypes
inferred← citeshttps://doi.org/10.1145/3442188.3445912openalex-snapshot
Bridging Machine Learning and Mechanism Design towards Algorithmic Fairness
inferred← citeshttps://doi.org/10.1145/3461702.3462516openalex-snapshot
Towards Unbiased and Accurate Deferral to Multiple Experts
inferred← citeshttps://doi.org/10.1145/3461702.3462521openalex-snapshot
Fair Machine Learning Under Partial Compliance
inferred← citeshttps://doi.org/10.1145/3461702.3462602openalex-snapshot
Does Fair Ranking Improve Minority Outcomes? Understanding the Interplay of Human and Algorithmic Biases in Online Hiring
inferred← citeshttps://doi.org/10.1145/3461778.3462084openalex-snapshot
Coding Bias in the Use of Behavior Management Technologies: Uncovering Socio-technical Consequences of Data-driven Surveillance in Classrooms
inferred← citeshttps://doi.org/10.1145/3465416openalex-snapshot
Equity and Access in Algorithms, Mechanisms, and Optimization
inferred← citeshttps://doi.org/10.1145/3465416.3483286openalex-snapshot
Disaggregated Interventions to Reduce Inequality
inferred← citeshttps://doi.org/10.1145/3479552openalex-snapshot
Understanding the Effect of Out-of-distribution Examples and Interactive Explanations on Human-AI Decision Making
inferred← citeshttps://doi.org/10.1145/3479562openalex-snapshot
Algorithmic Risk Assessments Can Alter Human Decision-Making Processes in High-Stakes Government Contexts
inferred← citeshttps://doi.org/10.1145/3479572openalex-snapshot
The Impact of Algorithmic Risk Assessments on Human Predictions and its Analysis via Crowdsourcing Studies
inferred← citeshttps://doi.org/10.1145/3490099.3511121openalex-snapshot
Exploring the Effects of Machine Learning Literacy Interventions on Laypeople’s Reliance on Machine Learning Models
inferred← citeshttps://doi.org/10.1145/3490099.3511163openalex-snapshot
“Rather Solve the Problem from Scratch”: Gamesploring Human-Machine Collaboration for Optimizing the Debris Collection Problem
inferred← citeshttps://doi.org/10.1145/3491102.3501831openalex-snapshot
How Child Welfare Workers Reduce Racial Disparities in Algorithmic Decisions
inferred← citeshttps://doi.org/10.1145/3491102.3501999openalex-snapshot
Human-AI Collaboration via Conditional Delegation: A Case Study of Content Moderation
inferred← citeshttps://doi.org/10.1145/3491102.3517587openalex-snapshot
Not Just a Preference: Reducing Biased Decision-making on Dating Websites
inferred← citeshttps://doi.org/10.1145/3514094.3534158openalex-snapshot
Fairness in Agreement With European Values
inferred← citeshttps://doi.org/10.1145/3519420openalex-snapshot
Integrating Behavioral, Economic, and Technical Insights to Understand and Address Algorithmic Bias: A Human-Centric Perspective
inferred← citeshttps://doi.org/10.1145/3526113.3545681openalex-snapshot
Scholastic: Graphical Human-AI Collaboration for Inductive and Interpretive Text Analysis
inferred← citeshttps://doi.org/10.1145/3527152openalex-snapshot
Mitigating Bias in Algorithmic Systems—A Fish-eye View
inferred← citeshttps://doi.org/10.1145/3531146.3533223openalex-snapshot
What is the Bureaucratic Counterfactual? Categorical versus Algorithmic Prioritization in U.S. Social Policy
inferred← citeshttps://doi.org/10.1145/3531146.3534626openalex-snapshot
Designing Up with Value-Sensitive Design: Building a Field Guide for Ethical ML Development
inferred← citeshttps://doi.org/10.1145/3544548.3581015openalex-snapshot
Are Two Heads Better Than One in AI-Assisted Decision Making? Comparing the Behavior and Performance of Groups and Individuals in Human-AI Collaborative Recidivism Risk Assessment
inferred← citeshttps://doi.org/10.1145/3544548.3581025openalex-snapshot
Knowing About Knowing: An Illusion of Human Competence Can Hinder Appropriate Reliance on AI Systems
inferred← citeshttps://doi.org/10.1145/3546872openalex-snapshot
Trustworthy AI: A Computational Perspective
inferred← citeshttps://doi.org/10.1145/3547522.3547678openalex-snapshot
XAI for learning: Narrowing down the digital divide between “new” and “old” experts
inferred← citeshttps://doi.org/10.1145/3579592openalex-snapshot
Working With AI to Persuade: Examining a Large Language Model's Ability to Generate Pro-Vaccination Messages
inferred← citeshttps://doi.org/10.1145/3579628openalex-snapshot
Toward Supporting Perceptual Complementarity in Human-AI Collaboration via Reflection on Unobservables
inferred← citeshttps://doi.org/10.1145/3581641.3584080openalex-snapshot
Supporting High-Uncertainty Decisions through AI and Logic-Style Explanations
inferred← citeshttps://doi.org/10.1145/3585006openalex-snapshot
Fair Enough: Searching for Sufficient Measures of Fairness
inferred← citeshttps://doi.org/10.1145/3593013.3594001openalex-snapshot
Explainable AI is Dead, Long Live Explainable AI!
inferred← citeshttps://doi.org/10.1145/3593013.3594033openalex-snapshot
Harms from Increasingly Agentic Algorithmic Systems
inferred← citeshttps://doi.org/10.1145/3593013.3594045openalex-snapshot
On (assessing) the fairness of risk score models
inferred← citeshttps://doi.org/10.1145/3593013.3594087openalex-snapshot
Towards a Science of Human-AI Decision Making: An Overview of Design Space in Empirical Human-Subject Studies
inferred← citeshttps://doi.org/10.1145/3603287.3651192openalex-snapshot
Exploring Fairness-Accuracy Trade-Offs in Binary Classification: A Comparative Analysis Using Modified Loss Functions
inferred← citeshttps://doi.org/10.1145/3610067openalex-snapshot
How Stated Accuracy of an AI System and Analogies to Explain Accuracy Affect Human Reliance on the System
inferred← citeshttps://doi.org/10.1145/3610100openalex-snapshot
People Perceive Algorithmic Assessments as Less Fair and Trustworthy Than Identical Human Assessments
inferred← citeshttps://doi.org/10.1145/3610203openalex-snapshot
Public Health Calls for/with AI: An Ethnographic Perspective
inferred← citeshttps://doi.org/10.1145/3610206openalex-snapshot
Selective Explanations: Leveraging Human Input to Align Explainable AI
inferred← citeshttps://doi.org/10.1145/3610219openalex-snapshot
Understanding the Role of Human Intuition on Reliance in Human-AI Decision-Making with Explanations
inferred← citeshttps://doi.org/10.1145/3613904.3641960openalex-snapshot
Human-LLM Collaborative Annotation Through Effective Verification of LLM Labels
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/10.1145/3613905.3637130openalex-snapshot
Computational Notebook as a Tool for Supporting Black Engineers Non-Profit Organizations in the Context of Workforce Participation
inferred← citeshttps://doi.org/10.1145/3613905.3644072openalex-snapshot
Navigating Afrocentric Human-Computer Interaction Research: A Scoping Review and Proposition of Afro-Postmodernism for Decolonial Praxis
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/10.1145/3630106.3659051openalex-snapshot
On the Quest for Effectiveness in Human Oversight: Interdisciplinary Perspectives
inferred← citeshttps://doi.org/10.1145/3648188.3675130openalex-snapshot
To Err Is AI! Debugging as an Intervention to Facilitate Appropriate Reliance on AI Systems
inferred← citeshttps://doi.org/10.1145/3663740openalex-snapshot
Measuring User Experience Inclusivity in Human-AI Interaction via Five User Problem-Solving Styles
inferred← citeshttps://doi.org/10.1145/3686922openalex-snapshot
Effect of Explanation Conceptualisations on Trust in AI-assisted Credibility Assessment
inferred← citeshttps://doi.org/10.1145/3686987openalex-snapshot
(De)Noise: Moderating the Inconsistency Between Human Decision-Makers
inferred← citeshttps://doi.org/10.1145/3706598.3713133openalex-snapshot
From Text to Trust: Empowering AI-assisted Decision Making with Adaptive LLM-powered Analysis
inferred← citeshttps://doi.org/10.1145/3706598.3714063openalex-snapshot
Underspecified Human Decision Experiments Considered Harmful
inferred← citeshttps://doi.org/10.1145/3706599.3720065openalex-snapshot
The Bureaucratic Challenges of Unified Data: Examining Predictive Policing Technology Design Issues Posed by Federal and State U.S. Criminal Legal System Data Sets
inferred← citeshttps://doi.org/10.1145/3708359.3712133openalex-snapshot
Is Conversational XAI All You Need? Human-AI Decision Making With a Conversational XAI Assistant
inferred← citeshttps://doi.org/10.1145/3708359.3712165openalex-snapshot
The Influence of Curiosity Traits and On-Demand Explanations in AI-Assisted Decision-Making
inferred← citeshttps://doi.org/10.1145/3716173openalex-snapshot
From Human Intervention to Human Involvement: A Critical Examination of the Role of Humans in (Semi-)Automated Administrative Decision-Making
inferred← citeshttps://doi.org/10.1145/3717511.3747073openalex-snapshot
Interactive Social Agent Behaviors of Politeness and Compromise in Collaborative Decision-making
inferred← citeshttps://doi.org/10.1145/3721976openalex-snapshot
Towards a Better Understanding of Evaluating Trustworthiness in AI Systems
inferred← citeshttps://doi.org/10.1145/3742413.3789068openalex-snapshot
"Over-the-Hood" AI Inclusivity Bugs and How 3 AI Product Teams Found and Fixed Them
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