Lee Cesafsky

Lee Cesafsky

Portland, Oregon, United States
2K followers 500+ connections

About

Lee (they/them) is a UX Researcher who specializes in complex technologies and…

Activity

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Experience

  • Meta Graphic
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    San Francisco Bay Area

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    Santa Clara County, California, United States

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    Minneapolis, MN

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    Greater Minneapolis-St. Paul Area

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    London, United Kingdom

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    Bogotá, Colombia

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    Portland, Oregon Area

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    Clarksburg, MN

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    Portland, Oregon Area

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    Portland, Oregon Area

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    Portland, Oregon Area

Education

  • University of Minnesota Graphic

    University of Minnesota-Twin Cities

    Specialized in urban society, culture and politics; human - technology interactions. Minor in Spanish language

  • 18-week immersive user experience research and design bootcamp

Licenses & Certifications

Publications

  • The Great GenAI Public User Test

    Medium

    LLMs and text-to-image generators don’t do well with facts — or politics. Users hire them for these jobs anyway. What can be done to stop the digital public sphere from mutating (further) into a swamp of ‘fact-ishness’ and ideological warfare?

    See publication
  • Calibrating Agency: Human Autonomy Teaming

    2019 EPIC Proceedings, pp 65–82

    This paper explores how the design of everyday interactions with artificial intelligence in work systems relates to broader issues of interest to social scientists and ethicists: namely human well-being and social inequality. The paper uses experience designing human interactions with highly automated systems as a lens for looking at the social implications of work design, and argues that what human and automation each do is less important than how human and automation are structured to…

    This paper explores how the design of everyday interactions with artificial intelligence in work systems relates to broader issues of interest to social scientists and ethicists: namely human well-being and social inequality. The paper uses experience designing human interactions with highly automated systems as a lens for looking at the social implications of work design, and argues that what human and automation each do is less important than how human and automation are structured to interact. The Human-Autonomy Teaming (HAT) paradigm, explored in the paper, has been a promising alternative way to think about human interactions with automation in our laboratory’s research and development work. We argue that the notion of teaming is particularly useful in that it encourages designers to consider human well-being as central to the operational success of the overall human-machine system that is being designed.

    Other authors
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Patents

Languages

  • English

    Native or bilingual proficiency

  • Spanish

    Professional working proficiency

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