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Author: 1493

14 results

Community Engaged Research

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AI Ethics

Making and Collaborative Design

Paper Title	Authors	Research Topics
emoji_events	SE	Community Engaged Research
	JS
	AW
emoji_events	ZW
AdRecommended Learn AI Coding at CodeNow Structured lessons, hands-on projects, and continuous updates for people bringing AI into real development work. Explore Now
emoji_events	LW	AI Ethics
emoji_events	LW
	QW
	NC
	MS
emoji_events	EB
	MH
	UL	Making and Collaborative Design
	CC	AI
	MH

Papers

Towards Equitable Community-Industry Collaborations: Understanding the Experiences of Nonprofits' Collaborations with Tech Companies

"The Conduit by which Change Happens": Processes, Barriers, and Support for Interpersonal Learning about Responsible AI

How Knowledge Workers Think Generative AI Will (Not) Transform Their Industries

Farsight: Fostering Responsible AI Awareness During AI Application Prototyping

Learn AI Coding at CodeNow

AI Consent Futures: A Case Study on Voice Data Collection with Clinicians

Infrastructuring Care: How Trans and Non-Binary People Meet Health and Well-Being Needs through Technology

Designing Responsible AI: Adaptations of UX Practice to Meet Responsible AI Challenges

A Systematic Review and Thematic Analysis of Community-Collaborative Approaches to Computing Research

Isolation in coordination: challenges of informal caregivers in the USA

A Human-Centered Evaluation of a Deep Learning System Deployed in Clinics for the Detection of Diabetic Retinopathy

Using Diaries to Probe the Illness Experiences of Adolescent Patients and Parental Caregivers

"Point-of-Care Manufacturing": Maker Perspectives on Digital Fabrication in Medical Practice

``Hello AI": Uncovering the Onboarding Needs of Medical Practitioners for Human-AI Collaborative Decision-Making

Visual ODLs: Co-Designing Patient-Generated Observations of Daily Living to Support Data-Driven Conversations in Pediatric Care

Towards Equitable Community-Industry Collaborations: Understanding the Experiences of Nonprofits' Collaborations with Tech Companies

"The Conduit by which Change Happens": Processes, Barriers, and Support for Interpersonal Learning about Responsible AI

How Knowledge Workers Think Generative AI Will (Not) Transform Their Industries

Farsight: Fostering Responsible AI Awareness During AI Application Prototyping

Learn AI Coding at CodeNow

AI Consent Futures: A Case Study on Voice Data Collection with Clinicians

Infrastructuring Care: How Trans and Non-Binary People Meet Health and Well-Being Needs through Technology

Designing Responsible AI: Adaptations of UX Practice to Meet Responsible AI Challenges

A Systematic Review and Thematic Analysis of Community-Collaborative Approaches to Computing Research

Isolation in coordination: challenges of informal caregivers in the USA

A Human-Centered Evaluation of a Deep Learning System Deployed in Clinics for the Detection of Diabetic Retinopathy

Using Diaries to Probe the Illness Experiences of Adolescent Patients and Parental Caregivers

"Point-of-Care Manufacturing": Maker Perspectives on Digital Fabrication in Medical Practice

``Hello AI": Uncovering the Onboarding Needs of Medical Practitioners for Human-AI Collaborative Decision-Making

Visual ODLs: Co-Designing Patient-Generated Observations of Daily Living to Support Data-Driven Conversations in Pediatric Care

Papers

Towards Equitable Community-Industry Collaborations: Understanding the Experiences of Nonprofits' Collaborations with Tech Companies

"The Conduit by which Change Happens": Processes, Barriers, and Support for Interpersonal Learning about Responsible AI

How Knowledge Workers Think Generative AI Will (Not) Transform Their Industries

Farsight: Fostering Responsible AI Awareness During AI Application Prototyping

Learn AI Coding at CodeNow

AI Consent Futures: A Case Study on Voice Data Collection with Clinicians

Infrastructuring Care: How Trans and Non-Binary People Meet Health and Well-Being Needs through Technology

Designing Responsible AI: Adaptations of UX Practice to Meet Responsible AI Challenges

A Systematic Review and Thematic Analysis of Community-Collaborative Approaches to Computing Research

Isolation in coordination: challenges of informal caregivers in the USA

A Human-Centered Evaluation of a Deep Learning System Deployed in Clinics for the Detection of Diabetic Retinopathy

Using Diaries to Probe the Illness Experiences of Adolescent Patients and Parental Caregivers

"Point-of-Care Manufacturing": Maker Perspectives on Digital Fabrication in Medical Practice

``Hello AI": Uncovering the Onboarding Needs of Medical Practitioners for Human-AI Collaborative Decision-Making

Visual ODLs: Co-Designing Patient-Generated Observations of Daily Living to Support Data-Driven Conversations in Pediatric Care

Towards Equitable Community-Industry Collaborations: Understanding the Experiences of Nonprofits' Collaborations with Tech Companies

"The Conduit by which Change Happens": Processes, Barriers, and Support for Interpersonal Learning about Responsible AI

How Knowledge Workers Think Generative AI Will (Not) Transform Their Industries

Farsight: Fostering Responsible AI Awareness During AI Application Prototyping

Learn AI Coding at CodeNow

AI Consent Futures: A Case Study on Voice Data Collection with Clinicians

Infrastructuring Care: How Trans and Non-Binary People Meet Health and Well-Being Needs through Technology

Designing Responsible AI: Adaptations of UX Practice to Meet Responsible AI Challenges

A Systematic Review and Thematic Analysis of Community-Collaborative Approaches to Computing Research

Isolation in coordination: challenges of informal caregivers in the USA

A Human-Centered Evaluation of a Deep Learning System Deployed in Clinics for the Detection of Diabetic Retinopathy

Using Diaries to Probe the Illness Experiences of Adolescent Patients and Parental Caregivers

"Point-of-Care Manufacturing": Maker Perspectives on Digital Fabrication in Medical Practice

``Hello AI": Uncovering the Onboarding Needs of Medical Practitioners for Human-AI Collaborative Decision-Making

Visual ODLs: Co-Designing Patient-Generated Observations of Daily Living to Support Data-Driven Conversations in Pediatric Care