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About me

How to pronounce my first name: “High-ee

I am the Daniel P. Siewiorek Associate Professor of Human-Computer Interaction and the Director of HCI Undergraduate Programs at Carnegie Mellon University. I received a B.S in Computer Science from Tsinghua University and an M.S. and a Ph.D. in Human-Computer Interaction from Carnegie Mellon University. I have received multiple NSF awards (CRII, Cyber Human System, EAGER on AI and Society, Fairness in AI, and Smart and Connected Communities), several paper awards in venues such as CHI, CSCW, and Human Factors, and an Allen Newell Award for Research Excellence.

 

About my research

The increasing accuracy and falling costs of AI have led to its widespread use in user-facing applications and services. However, there is a gap between mathematically rigorous AI approaches and the needs, experiences, motivations, and values of human stakeholders, as well as the realities and constraints of communities, organizations, and institutions. This gap can undermine practical initiatives and even lead to negative societal impacts. I am interested in incorporating stakeholder values and social considerations into the creation and evaluation process of AI technologies. I have conducted several projects that focus on studying the design and social impacts of AI in child welfare, online content moderation, and mental health. You can download my CV here and check out the class I teach: Human AI Interaction (2020-2023)

Selected research

AI in Social and Human Services

  • Understanding Frontline Workers’ and Unhoused Individuals’ Perspectives on AI Used in Homeless Services” [CHI 2023 best paper]
  • How Child Welfare Workers Reduce Racial Disparities in Algorithmic Decisions[CHI’2022].
  • Improving Human-AI Partnerships in Child Welfare: Understanding Worker Practices, Challenges, and Desires for Algorithmic Decision Support [CHI’2022, honorable mention].
  • Imagining New Futures beyond Predictive Systems in Child Welfare [FAccT’2022]
  • “Why Do I Care What’s Similar?” Probing Challenges in AI-Assisted Child Welfare Decision-Making through Worker-AI Interface Design Concepts [DIS’2022]
  • Soliciting Stakeholders’ Fairness Notions in Child Maltreatment Predictive Systems [CHI’2021]

Value-Sensitive and Community-Driven AI Design

  • A Validity Perspective on Evaluating the Justified Use of Data-driven Decision-making Algorithms [SaTML Best Paper]
  • Keeping Community in the Loop: Understanding Wikipedia Stakeholder Values for Machine Learning-Based Systems [CHI’2020 Honourable Mention].
  • Value-Sensitive Algorithm Design: Method, Case Study, and Lessons  [CSCW’2018].
  • Value Cards: An Educational Toolkit for Teaching Social Impacts of Machine Learning through Deliberation [FAccT’2021]
  • Factors Influencing Perceived Fairness in Algorithmic Decision-Making: Algorithm Outcomes, Development Procedures, and Individual Differences [CHI’2020].
  • Explaining Decision-Making Algorithms through UI: Strategies to Help Non-Expert Stakeholders [CHI 2019].
  • Keeping Designers in the Loop: Communicating Inherent Algorithmic Trade-offs Across Multiple Objectives [DIS’2020].

Online Community Design, Wikipedia

  • Join, Stay or Go? A Closer Look at Members’ Life Cycles in Online Health Communities [Honorable Mention at CSCW 2021]
  • Algorithmic content moderation systems on Wikipedia [FAccT’2022].
  • Understanding the effects of emotional cues (e.g., NFL game outcomes) on the contributions of Wikipedia editors. [CSCW’2018a, preprint]
  • Understanding the effects of turnover on the success of online production groups [CSCW’2018b, preprint]
  • Predicting Member Productivity and Withdrawal from Pre-Joining Attachments [CSCW’2017]
  • Understanding how to organize individual contributors with differing goals, experience, and commitment to achieve a collective outcome [CSCW’2012a],[CSCW’2012b][CHI’2013].

Sharing Economy, Gig Economy

  • A Little Too Personal: Effects of Standardization versus Personalization on Job Acquisition, Work Completion, and Revenue for Online Freelancers [CHI’2022]
  • Race, Gender and Beauty: The Effect of Information Provision on Online Hiring Biases [CHI’2020]
  • Quality Standards, Service Orientation, and Power in Airbnb and Couchsurfing [CSCW’2018c, preprint]
  • The Sharing Economy in Computing: A Systematic Literature Review [CSCW’2018d, preprint]
  • Designing platforms that allow people to share under-utilized resources and seek help from friends [CHI’2016]

Scientific Media Production

  • Design Opportunities for Enhancing Collaboration in Scientific Media Production [CHI’2018]
  • Disseminating Research News in HCI: Perceived Hazards, How-To’s, and Opportunities for Innovation [CHI’2020]

Social Networking

News

2023.07 – Our paper – “Designing Individualized Policy and Technology Interventions to Improve Gig Work Conditions” [link] – received best paper award at CHIWORK 2023!

2023.04 – Our paper – “Understanding Frontline Workers’ and Unhoused Individuals’ Perspectives on AI Used in Homeless Services” [link] – received best paper award at CHI 2023!

2023.02 – Our paper -“A Validity Perspective on Evaluating the Justified Use of Data-driven Decision-making Algorithms”[link] – received best paper award at IEEE Conference on Secure and Trustworthy Machine Learning (SaTML) 2023!

2022.04 – The AP article reported our CHI paper – “How Child Welfare Workers Reduce Racial Disparities in Algorithmic Decisions” [Link]. Some new follow-up [AP 2023.01].

2022.04 – Three papers accepted by CHI 2022. Please check out our Honorable Mention paper “Improving Human-AI Partnerships in Child Welfare: Understanding Worker Practices, Challenges, and Desires for Algorithmic Decision Support” [Link].

2022.06 – Four papers appeared at FAccT 2022. These papers explored a wide range of topics related to fair and responsible AI, including imagining new futures beyond predictive systems in child welfare [link], designing model card authoring toolkit  [link], exploring how practitioners (try to) use fairness toolkits [link], and studying algorithmic content moderation systems [link].

2021.10 – Our paper “Join, Stay or Go? A Closer Look at Members’ Life Cycles in Online Health Communities” has been awarded an Honorable Mention at CSCW 2021 [link]

2021.3 – Check out our new CHI 2021 paper on “Soliciting Stakeholders’ Fairness Notions in Child Maltreatment Predictive Systems” [link]

2021.1 – Check out our FAccT 2021 paper on “Value Cards: An Educational Toolkit for Teaching Social Impacts of Machine Learning through Deliberation” [link]!

2020.8 – Our 2 million, 3-year NSF award on “Empowering and Enhancing Workers Through Building A Community-Centered Gig Economy” has been funded [Award Abstract]!

2020.2 – Our paper “Keeping Community in the Loop: Understanding Wikipedia Stakeholder Values for Machine Learning-Based Systems” [link] has received an Honourable Mention Award at CHI 2020.

2020.1 – Our proposal on advancing fairness in AI with human-algorithm collaborations, with Steven Wu (PI), Alex Chouldechova, and Min Kyung Lee, is awarded [Award Abstract] [Press Release]!

2019.9 – Two NSF proposals on which I am PI – CHS core and EAGER on AI and society – are awarded! [CHS Award Abstract] [EAGER Award Abstract]

2019 Summer Travels: June 23-27 HCIC; July 8-10 UC Berkeley; July 16-19 MSR Faculty Summit; Aug 2-4 CSCW Summer School; Aug 16-18 ChineseCSCW

2019.5 – My student, Hao Fei Cheng, presents our paper at CHI 2019. Check the paper [link].

2019.4 – Our paper on “Towards Value-Sensitive Learning Analytics Design” [link] is presented at LAK 2019.

2018.12 – Our proposal, Promoting Diversity in Peer Production through Mechanism Design with PI Steven Wu to Facebook’s Mechanism Design for Social Good RFP,  is selected for $50,000 in funding (top 3 in total of 58).

2018.11 – 7 papers (6 from the first round, 1 from the second round) will be presented at CSCW’2018.

2018.02 – Our paper on Design Opportunities for Enhancing Collaboration in Scientific Media Production receives CHI’2018 best paper honorable mention!

2018.01 – 3 papers accepted by CHI’2018!

2017.08 – 6 papers accepted by CSCW’ 2018 online first!

2016.08 – Receive NSF CRII CISE Research Initiation Award (expected to total $174,355)

2016.05 – CHI’2016 best paper honorable mention! Paper: A Market in Your Social Network: The Effects of Extrinsic Rewards on Friendsourcing and Relationships [download pdf]

2016.04-  Allen Newell Award for Research Excellence (shared with Bob Kraut, Niki Kittur, Moira Burke, and Ching Ren)!

2014.02 – Winner of Facebook Fellowship 2014-2015!

2013.10 – Win the Human Factors Prize 2013 (a $10K prize)! The  Human Factors Prize recognizes excellence in HF/E research through an annual competition in which authors are invited to submit papers on a specific topic for that year. The topic of 2013 is social media.

2013.04 – Receive best paper honorable mention award from CHI 2013. Paper title: Effects of Peer Feedback on Contribution: A Field Experiment in Wikipedia.[download pdf]

2012.02 – Receive best paper honorable mention award from CSCW 2012. Paper title: Effectiveness of Shared Leadership in Online Communities. [download pdf]