At the Edge of AI : Human Computation Systems and Their Intraverting Relations.

Format:

Book

Author/Creator:

Vepřek, Libuše Hannah.

Contributor:

Universität München, Funder.

Series:

Science Studies

Language:

English

Physical Description:

1 online resource (331 pages)

Edition:

1st ed.

Place of Publication:

Bielefeld : transcript Verlag, 2024.

Language Note:

In English.

Biography/History:

Veprek Libuše Hannah : Libuše Hannah Veprek (Dr. M.Sc.) ist wissenschaftliche Mitarbeiterin am Ludwig-Uhland-Institut für Empirische Kulturwissenschaft der Eberhard Karls Universität Tübingen. Die Kulturwissenschaftlerin und Informatikerin promovierte an der Ludwig-Maximilians-Universität München im Rahmen des von Johannes Moser und ihr verantworteten DFG-Projekts »Spielend ›in the Loop‹« (2021-2024). Zu ihren Forschungsschwerpunkten gehören Digitale Anthropologie, Anthropologie der Technik, Science and Technology Studies, Moralanthropologie und Ethik der Technologie sowie digitale Methoden.

Summary:

How are human computation systems developed in the field of citizen science to achieve what neither humans nor computers can do alone? Through multiple perspectives and methods, Libuse Hannah Veprek examines the imagination of these assemblages, their creation, and everyday negotiation in the interplay of various actors and play/science entanglements at the edge of AI. Focusing on their human-technology relations, this ethnographic study shows how these formations are marked by intraversions, as they change with technological advancements and the actors' goals, motivations, and practices. This work contributes to the constructive and critical ethnographic engagement with human-AI assemblages in the making.

Contents:

Cover

Contents

Acknowledgments

List of Figures

List of Abbreviations

1 Introduction: "We're Doing Something Completely New"

2 Approaching Human Computation‐Based Citizen Science Analytically

Crowdsourcing and Crowdworking

Citizen Science (Games) and the Entanglements of Play, Work, and Science

Sociotechnical Systems and the Study of Algorithms, Computer Code, and Artificial Intelligence

Infrastructures and Infrastructuring

A Theoretical Framework for Analyzing Emerging Hybrid Systems

From Assemblages to Assemblage Thinking

Human-Technology Relations

Ethical Projects, Imaginaries, and the Care for Our Hybrid Modes of Being

Intraversions in Human-Technology Relations

3 Methodology: Encountering Human Computation Ethnographically

Praxiographically Inspired Co‑Laborative Ethnography

Constructivist Grounded Theory

Doing Research On, With, and Among Researchers and Developers

A Toolkit of Methods for Emerging Hybrid Systems

Participant Observation

Qualitative Interviews

Experimental Approaches to Infrastructures, Code, and Digital Chat Data

4 Envisioning and Designing the Future

Human‐In‐The‐Loop Imaginaries

Human Computation as a Counter‐Imaginary to Artificial General Intelligence

Shared Paradigms

The Imagined Human in the Loop

Imagining Humans as Players and the Loop as a Game

Human-Technology Conversations of the Future

Crowds in the Loop

Humans in the Loop in a Future Thinking Economy

Weaving Together the Imaginaries

Imagining as Practice: Infrastructuring and Experimentation

Infrastructuring Toward "Sustainable Human Computation"

Puppies in Stall Catchers: Everyday Infrastructuring

Between Counter‐Imaginary and Infrastructuring

5 Multiple Meanings and Everyday Negotiations: Play/Science Entanglements

A Snapshot of Foldit.

A Snapshot of Stall Catchers

Contributing to Cope With Everyday Life

Personal Connections

Meaningful Contributions

A Phenomenon Between Play and Science

Mutual Supportive Science/Play Entanglements

Out‐Of‐The‐Box Thinking

Making a "Boring" Task Enjoyable and Keeping the Motivation Up

Legitimizing Play

Play/Science Frictions

A "Balancing Act"

Goals of Science versus Goals of Game

Uncertainty and Unpredictability of Science versus the Rigidity of Game

Hierarchies Between Play and Science

"Success" Has Different Meanings for Game and Science

Adaptations and Practices Beyond Design

Ameliorating the Participant-Technological Performance

Reading Data Differently and Playing Games in Games

Exploring Boundaries

Emerging Spaces in Play/Science Entanglements and Frictions

6 Intraversions: Human-Technology Relations in Flux

Never Obsolete: Intraversions of Participant-Technology Relations in Foldit

Foldit's Legend

Introducing the Artificial Intelligence System AlphaFold in Foldit

"First Use No Humans:" Intraversions of Participant-Technology Relations in Stall Catchers

"The Machines Are Coming:" Artificial Intelligence Bots in Stall Catchers

GAIA's Debut

Three Bots in Stall Catchers

Reconfigurations of Participant-Technology Relations

Extending the Loop: Intraversions of Researcher-Technology Relations

Getting Lost in the Brain

Processing and Translating Data

Machine Learning for Data Segmentation

Automated Post‐Processing

Data Curation: Manually Intervening and Editing

Closing the Loop

Reconfiguring Data, the Pipeline, and Researcher-Technology Relations

Moving Forward in Concert

Contingent, Imagined, and Emergent Intraversions

7 Building Trust in and With Human Computation

Trust as an Analytical Concept

Trust as a Sociomaterial Practice.

"We Have to Trust the Whole Citizen Science Stuff"

Building Trust With Human Computation and Algorithmic Evaluation

Trust the System, Trust Yourself

The Question of Trust and Proprietary Software

Distributed Trust

8 Conclusions

Engaging at the Edge of Artificial Intelligence

Beyond the Edge

Glossary

References.

Notes:

This eBook is made available Open Access under a CC BY 4.0 license: https://creativecommons.org/licenses/by/4.0

Description based on publisher supplied metadata and other sources.

ISBN:

9783839472286

3839472288