All

Papers

Browse and search HCI research papers from All

Active Filters

Author: 8565

Results: 19

Community Engaged Research

AdRecommended

Learn AI Coding at CodeNow

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

Explore Now

Facilitating Equity and Fairness in Tech

Online & AI Harms

Session 3a: Self-Presentation and Relationships in Digital Spaces

Session 2e: Data, Power, and Justice

Youth Perspectives

Community-Driven & Value-Sensitive Design; Community-Driven & Value-Sensitive Design

Interpreting and Explaining AI

Algorithmic Auditing and Responsible AI

Paper Title	Authors	Research Topics
	SX
	YH
emoji_events	NN
	CS	Community Engaged Research
AdRecommended Learn AI Coding at CodeNow Structured lessons, hands-on projects, and continuous updates for people bringing AI into real development work. Explore Now
	SK	Facilitating Equity and Fairness in Tech
emoji_events	WD	Online & AI Harms
emoji_events	SK
emoji_events	SX
	QX
	FA	Session 3a: Self-Presentation and Relationships in Digital Spaces
	SK	Session 2e: Data, Power, and Justice
	JS	Youth Perspectives
	RL
emoji_events	JS
	WD
	JP	Community-Driven & Value-Sensitive Design; Community-Driven & Value-Sensitive Design
	AD
emoji_events	NK	Interpreting and Explaining AI
	HS	Algorithmic Auditing and Responsible AI

All

Papers

Browse and search HCI research papers from All

Active Filters

Author: 8565

Results: 19

Community Engaged Research

AdRecommended

Learn AI Coding at CodeNow

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

Explore Now

Facilitating Equity and Fairness in Tech

Online & AI Harms

Session 3a: Self-Presentation and Relationships in Digital Spaces

Session 2e: Data, Power, and Justice

Youth Perspectives

Community-Driven & Value-Sensitive Design; Community-Driven & Value-Sensitive Design

Interpreting and Explaining AI

Algorithmic Auditing and Responsible AI

Paper Title	Authors	Research Topics
	SX
	YH
emoji_events	NN
	CS	Community Engaged Research
AdRecommended Learn AI Coding at CodeNow Structured lessons, hands-on projects, and continuous updates for people bringing AI into real development work. Explore Now
	SK	Facilitating Equity and Fairness in Tech
emoji_events	WD	Online & AI Harms
emoji_events	SK
emoji_events	SX
	QX
	FA	Session 3a: Self-Presentation and Relationships in Digital Spaces
	SK	Session 2e: Data, Power, and Justice
	JS	Youth Perspectives
	RL
emoji_events	JS
	WD
	JP	Community-Driven & Value-Sensitive Design; Community-Driven & Value-Sensitive Design
	AD
emoji_events	NK	Interpreting and Explaining AI
	HS	Algorithmic Auditing and Responsible AI

Papers

Investigating How Leaders Decide on AI Innovations: Opportunities for HCI

Vipera: Blending Visual and LLM-Driven Guidance for Systematic Auditing of Text-to-Image Generative AI

“I Don’t Think RAI Applies to My Model” – Engaging Non-champions with Sticky Stories for Responsible AI Work

“You’re in a Ferrari. I’m Waiting for the Bus”: Confronting Tensions in Community-University Partnerships for Publicly Deployed Technologies

Learn AI Coding at CodeNow

Systematic Literature Review on Equity and Technology in HCI and Fairness: Navigating the Complexities and Nuances of Equity Research

WeAudit: Scaffolding User Auditors and AI Practitioners in Auditing Generative AI

Simulacrum of stories: Examining Large Language Models as Qualitative Research Participants

Exploring What People Need to Know to be AI Literate: Tailoring for a Diversity of AI Roles and Responsibilities

"It Might be Technically Impressive, But It’s Practically Useless to us": Motivations, Practices, Challenges, and Opportunities for Cross-Functional Collaboration around AI within the News Industry

"When the 'Matchmaker' Does Not Have Your Interest at Heart: Perceived Algorithmic Harms, Folk Theories, and Users' Counter-Strategies on Tinder"

Integrating Equity in Public Sector Data-Driven Decision Making: Exploring the Desired Futures of Underserved Stakeholders

The Potential of Diverse Youth as Stakeholders in Identifying and Mitigating Algorithmic Bias for a Future of Fairer AI"

Participation and Division of Labor in User-Driven Algorithm Audits: How Do Everyday Users Work Together to Surface Algorithmic Harms?

“I Would Like to Design”: Black Girls Analyzing and Ideating Fair and Accountable AI

Understanding Practices, Challenges, and Opportunities for User-Engaged Algorithm Auditing in Industry Practice

Power Distribution and Conflicts in Designing, Using, and Maintaining Algorithmic Socio-Technical Systems

Toward User-Driven Algorithm Auditing: Investigating Users' Strategies for Uncovering Harmful Algorithmic Behavior

Algorithmic Folk Theories and Identity: How TikTok Users Co-Produce Knowledge of Identity and Engage in Algorithmic Resistance

Everyday Algorithm Auditing: Understanding the Power of Everyday Users in Surfacing Harmful Algorithmic Behaviors

Investigating How Leaders Decide on AI Innovations: Opportunities for HCI

Vipera: Blending Visual and LLM-Driven Guidance for Systematic Auditing of Text-to-Image Generative AI

“I Don’t Think RAI Applies to My Model” – Engaging Non-champions with Sticky Stories for Responsible AI Work

“You’re in a Ferrari. I’m Waiting for the Bus”: Confronting Tensions in Community-University Partnerships for Publicly Deployed Technologies

Learn AI Coding at CodeNow

Systematic Literature Review on Equity and Technology in HCI and Fairness: Navigating the Complexities and Nuances of Equity Research

WeAudit: Scaffolding User Auditors and AI Practitioners in Auditing Generative AI

Simulacrum of stories: Examining Large Language Models as Qualitative Research Participants

Exploring What People Need to Know to be AI Literate: Tailoring for a Diversity of AI Roles and Responsibilities

"It Might be Technically Impressive, But It’s Practically Useless to us": Motivations, Practices, Challenges, and Opportunities for Cross-Functional Collaboration around AI within the News Industry

"When the 'Matchmaker' Does Not Have Your Interest at Heart: Perceived Algorithmic Harms, Folk Theories, and Users' Counter-Strategies on Tinder"

Integrating Equity in Public Sector Data-Driven Decision Making: Exploring the Desired Futures of Underserved Stakeholders

The Potential of Diverse Youth as Stakeholders in Identifying and Mitigating Algorithmic Bias for a Future of Fairer AI"

Participation and Division of Labor in User-Driven Algorithm Audits: How Do Everyday Users Work Together to Surface Algorithmic Harms?

“I Would Like to Design”: Black Girls Analyzing and Ideating Fair and Accountable AI

Understanding Practices, Challenges, and Opportunities for User-Engaged Algorithm Auditing in Industry Practice

Power Distribution and Conflicts in Designing, Using, and Maintaining Algorithmic Socio-Technical Systems

Toward User-Driven Algorithm Auditing: Investigating Users' Strategies for Uncovering Harmful Algorithmic Behavior

Algorithmic Folk Theories and Identity: How TikTok Users Co-Produce Knowledge of Identity and Engage in Algorithmic Resistance

Everyday Algorithm Auditing: Understanding the Power of Everyday Users in Surfacing Harmful Algorithmic Behaviors

Papers

Investigating How Leaders Decide on AI Innovations: Opportunities for HCI

Vipera: Blending Visual and LLM-Driven Guidance for Systematic Auditing of Text-to-Image Generative AI

“I Don’t Think RAI Applies to My Model” – Engaging Non-champions with Sticky Stories for Responsible AI Work

“You’re in a Ferrari. I’m Waiting for the Bus”: Confronting Tensions in Community-University Partnerships for Publicly Deployed Technologies

Learn AI Coding at CodeNow

Systematic Literature Review on Equity and Technology in HCI and Fairness: Navigating the Complexities and Nuances of Equity Research

WeAudit: Scaffolding User Auditors and AI Practitioners in Auditing Generative AI

Simulacrum of stories: Examining Large Language Models as Qualitative Research Participants

Exploring What People Need to Know to be AI Literate: Tailoring for a Diversity of AI Roles and Responsibilities

"It Might be Technically Impressive, But It’s Practically Useless to us": Motivations, Practices, Challenges, and Opportunities for Cross-Functional Collaboration around AI within the News Industry

"When the 'Matchmaker' Does Not Have Your Interest at Heart: Perceived Algorithmic Harms, Folk Theories, and Users' Counter-Strategies on Tinder"

Integrating Equity in Public Sector Data-Driven Decision Making: Exploring the Desired Futures of Underserved Stakeholders

The Potential of Diverse Youth as Stakeholders in Identifying and Mitigating Algorithmic Bias for a Future of Fairer AI"

Participation and Division of Labor in User-Driven Algorithm Audits: How Do Everyday Users Work Together to Surface Algorithmic Harms?

“I Would Like to Design”: Black Girls Analyzing and Ideating Fair and Accountable AI

Understanding Practices, Challenges, and Opportunities for User-Engaged Algorithm Auditing in Industry Practice

Power Distribution and Conflicts in Designing, Using, and Maintaining Algorithmic Socio-Technical Systems

Toward User-Driven Algorithm Auditing: Investigating Users' Strategies for Uncovering Harmful Algorithmic Behavior

Algorithmic Folk Theories and Identity: How TikTok Users Co-Produce Knowledge of Identity and Engage in Algorithmic Resistance

Everyday Algorithm Auditing: Understanding the Power of Everyday Users in Surfacing Harmful Algorithmic Behaviors

Investigating How Leaders Decide on AI Innovations: Opportunities for HCI

Vipera: Blending Visual and LLM-Driven Guidance for Systematic Auditing of Text-to-Image Generative AI

“I Don’t Think RAI Applies to My Model” – Engaging Non-champions with Sticky Stories for Responsible AI Work

“You’re in a Ferrari. I’m Waiting for the Bus”: Confronting Tensions in Community-University Partnerships for Publicly Deployed Technologies

Learn AI Coding at CodeNow

Systematic Literature Review on Equity and Technology in HCI and Fairness: Navigating the Complexities and Nuances of Equity Research

WeAudit: Scaffolding User Auditors and AI Practitioners in Auditing Generative AI

Simulacrum of stories: Examining Large Language Models as Qualitative Research Participants

Exploring What People Need to Know to be AI Literate: Tailoring for a Diversity of AI Roles and Responsibilities

"It Might be Technically Impressive, But It’s Practically Useless to us": Motivations, Practices, Challenges, and Opportunities for Cross-Functional Collaboration around AI within the News Industry

"When the 'Matchmaker' Does Not Have Your Interest at Heart: Perceived Algorithmic Harms, Folk Theories, and Users' Counter-Strategies on Tinder"

Integrating Equity in Public Sector Data-Driven Decision Making: Exploring the Desired Futures of Underserved Stakeholders

The Potential of Diverse Youth as Stakeholders in Identifying and Mitigating Algorithmic Bias for a Future of Fairer AI"

Participation and Division of Labor in User-Driven Algorithm Audits: How Do Everyday Users Work Together to Surface Algorithmic Harms?

“I Would Like to Design”: Black Girls Analyzing and Ideating Fair and Accountable AI

Understanding Practices, Challenges, and Opportunities for User-Engaged Algorithm Auditing in Industry Practice

Power Distribution and Conflicts in Designing, Using, and Maintaining Algorithmic Socio-Technical Systems

Toward User-Driven Algorithm Auditing: Investigating Users' Strategies for Uncovering Harmful Algorithmic Behavior