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Papers

Browse and search HCI research papers from All

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Author: 7046

Results: 18

Chenyan Jia et al.

Identifying and Mitigating AI Risks

AdRecommended

Learn AI Coding at CodeNow

Structured lessons, hands-on projects, and continuous updates for people bringing AI into real development work.

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Session 4d: Misinformation and Fact Checking

Human AI Collaboration II

Politics, Polarization and Partisanship; Politics, Polarization and Partisanship

Paper Title	Authors	Research Topics
	AZ
	KK
	CJ Chenyan Jia et al.
emoji_events	AZ	Identifying and Mitigating AI Risks
AdRecommended Learn AI Coding at CodeNow Structured lessons, hands-on projects, and continuous updates for people bringing AI into real development work. Explore Now
	YC
emoji_events	JH
	AZ
emoji_events	HL	Session 4d: Misinformation and Fact Checking
	CL
	AG
	AZ
	AZ	Human AI Collaboration II
	DR
	YC
	AZ
	CJ	Politics, Polarization and Partisanship; Politics, Polarization and Partisanship
emoji_events	AZ
	ML

All

Papers

Browse and search HCI research papers from All

Active Filters

Author: 7046

Results: 18

Chenyan Jia et al.

Identifying and Mitigating AI Risks

AdRecommended

Learn AI Coding at CodeNow

Structured lessons, hands-on projects, and continuous updates for people bringing AI into real development work.

Explore Now

Session 4d: Misinformation and Fact Checking

Human AI Collaboration II

Politics, Polarization and Partisanship; Politics, Polarization and Partisanship

Paper Title	Authors	Research Topics
	AZ
	KK
	CJ Chenyan Jia et al.
emoji_events	AZ	Identifying and Mitigating AI Risks
AdRecommended Learn AI Coding at CodeNow Structured lessons, hands-on projects, and continuous updates for people bringing AI into real development work. Explore Now
	YC
emoji_events	JH
	AZ
emoji_events	HL	Session 4d: Misinformation and Fact Checking
	CL
	AG
	AZ
	AZ	Human AI Collaboration II
	DR
	YC
	AZ
	CJ	Politics, Polarization and Partisanship; Politics, Polarization and Partisanship
emoji_events	AZ
	ML

Papers

Contextualizing Datasets: Deepening Awareness of Data Biases through Critical Reflection of Civic Data

Moderating the Workplace: Governing Communication Channels for Platform Workers

Beyond Accuracy: Experts See AI Fact-Checks as Accurate but Less Useful

Data and Technology for Equitable Public Administration: Understanding City Government Employees’ Challenges and Needs

Learn AI Coding at CodeNow

Proxona: Supporting Creators' Sensemaking and Ideation with LLM-Powered Audience Personas

Gig2Gether: Datasharing to Empower, Unify and Demistify Gig Work

Knowledge Workers' Perspectives on AI Training for Responsible AI Use

Human-centered NLP Fact-checking: Co-Designing with Fact-checkers using Matchmaking for AI

The AI-DEC: A Card-based Design Method for User-centered AI Explanations

Aligning Data with the Goals of an Organization and Its Workers: Designing Data Labeling for Social Service Case Notes

Data Probes as Boundary Objects for Technology Policy Design: Demystifying Technology for Policymakers and Aligning Stakeholder Objectives in Rideshare Gig Work

Deliberating with AI: Improving Decision-Making for the Future through Participatory AI Design and Stakeholder Deliberation

Ludification as a Lens for Algorithmic Management: A Case Study of Gig-Workers' Experiences of Ambiguity in Instacart Work

Creator-friendly Algorithms: Behaviors, Challenges, and Design Opportunities in Algorithmic Platforms

Stakeholder-Centered AI Design: Co-Designing Worker Tools with Gig Workers through Data Probes

Understanding Effects of Algorithmic vs. Community Label on Perceived Accuracy of Hyper-partisan Misinformation

Algorithmic Management Reimagined For Workers and By Workers: Centering Worker Well-Being in Gig Work

Who Is Included in Human Perceptions of AI?: Trust and Perceived Fairness around Healthcare AI and Cultural Mistrust

Contextualizing Datasets: Deepening Awareness of Data Biases through Critical Reflection of Civic Data

Moderating the Workplace: Governing Communication Channels for Platform Workers

Beyond Accuracy: Experts See AI Fact-Checks as Accurate but Less Useful

Data and Technology for Equitable Public Administration: Understanding City Government Employees’ Challenges and Needs

Learn AI Coding at CodeNow

Proxona: Supporting Creators' Sensemaking and Ideation with LLM-Powered Audience Personas

Gig2Gether: Datasharing to Empower, Unify and Demistify Gig Work

Knowledge Workers' Perspectives on AI Training for Responsible AI Use

Human-centered NLP Fact-checking: Co-Designing with Fact-checkers using Matchmaking for AI

The AI-DEC: A Card-based Design Method for User-centered AI Explanations

Aligning Data with the Goals of an Organization and Its Workers: Designing Data Labeling for Social Service Case Notes

Data Probes as Boundary Objects for Technology Policy Design: Demystifying Technology for Policymakers and Aligning Stakeholder Objectives in Rideshare Gig Work

Deliberating with AI: Improving Decision-Making for the Future through Participatory AI Design and Stakeholder Deliberation

Ludification as a Lens for Algorithmic Management: A Case Study of Gig-Workers' Experiences of Ambiguity in Instacart Work

Creator-friendly Algorithms: Behaviors, Challenges, and Design Opportunities in Algorithmic Platforms

Stakeholder-Centered AI Design: Co-Designing Worker Tools with Gig Workers through Data Probes

Understanding Effects of Algorithmic vs. Community Label on Perceived Accuracy of Hyper-partisan Misinformation

Algorithmic Management Reimagined For Workers and By Workers: Centering Worker Well-Being in Gig Work

Who Is Included in Human Perceptions of AI?: Trust and Perceived Fairness around Healthcare AI and Cultural Mistrust

Papers

Contextualizing Datasets: Deepening Awareness of Data Biases through Critical Reflection of Civic Data

Moderating the Workplace: Governing Communication Channels for Platform Workers

Beyond Accuracy: Experts See AI Fact-Checks as Accurate but Less Useful

Data and Technology for Equitable Public Administration: Understanding City Government Employees’ Challenges and Needs

Learn AI Coding at CodeNow

Proxona: Supporting Creators' Sensemaking and Ideation with LLM-Powered Audience Personas

Gig2Gether: Datasharing to Empower, Unify and Demistify Gig Work

Knowledge Workers' Perspectives on AI Training for Responsible AI Use

Human-centered NLP Fact-checking: Co-Designing with Fact-checkers using Matchmaking for AI

The AI-DEC: A Card-based Design Method for User-centered AI Explanations

Aligning Data with the Goals of an Organization and Its Workers: Designing Data Labeling for Social Service Case Notes

Data Probes as Boundary Objects for Technology Policy Design: Demystifying Technology for Policymakers and Aligning Stakeholder Objectives in Rideshare Gig Work

Deliberating with AI: Improving Decision-Making for the Future through Participatory AI Design and Stakeholder Deliberation

Ludification as a Lens for Algorithmic Management: A Case Study of Gig-Workers' Experiences of Ambiguity in Instacart Work

Creator-friendly Algorithms: Behaviors, Challenges, and Design Opportunities in Algorithmic Platforms

Stakeholder-Centered AI Design: Co-Designing Worker Tools with Gig Workers through Data Probes

Understanding Effects of Algorithmic vs. Community Label on Perceived Accuracy of Hyper-partisan Misinformation

Algorithmic Management Reimagined For Workers and By Workers: Centering Worker Well-Being in Gig Work

Who Is Included in Human Perceptions of AI?: Trust and Perceived Fairness around Healthcare AI and Cultural Mistrust

Contextualizing Datasets: Deepening Awareness of Data Biases through Critical Reflection of Civic Data

Moderating the Workplace: Governing Communication Channels for Platform Workers

Beyond Accuracy: Experts See AI Fact-Checks as Accurate but Less Useful

Data and Technology for Equitable Public Administration: Understanding City Government Employees’ Challenges and Needs

Learn AI Coding at CodeNow

Proxona: Supporting Creators' Sensemaking and Ideation with LLM-Powered Audience Personas

Gig2Gether: Datasharing to Empower, Unify and Demistify Gig Work

Knowledge Workers' Perspectives on AI Training for Responsible AI Use

Human-centered NLP Fact-checking: Co-Designing with Fact-checkers using Matchmaking for AI

The AI-DEC: A Card-based Design Method for User-centered AI Explanations

Aligning Data with the Goals of an Organization and Its Workers: Designing Data Labeling for Social Service Case Notes

Data Probes as Boundary Objects for Technology Policy Design: Demystifying Technology for Policymakers and Aligning Stakeholder Objectives in Rideshare Gig Work

Deliberating with AI: Improving Decision-Making for the Future through Participatory AI Design and Stakeholder Deliberation

Ludification as a Lens for Algorithmic Management: A Case Study of Gig-Workers' Experiences of Ambiguity in Instacart Work

Creator-friendly Algorithms: Behaviors, Challenges, and Design Opportunities in Algorithmic Platforms

Stakeholder-Centered AI Design: Co-Designing Worker Tools with Gig Workers through Data Probes

Understanding Effects of Algorithmic vs. Community Label on Perceived Accuracy of Hyper-partisan Misinformation

Algorithmic Management Reimagined For Workers and By Workers: Centering Worker Well-Being in Gig Work

Who Is Included in Human Perceptions of AI?: Trust and Perceived Fairness around Healthcare AI and Cultural Mistrust