Hybrid Intelligence: A Paradigm for More Responsible Practice

24 Pages Posted: 27 Dec 2022

See all articles by James Guszcza

James Guszcza

Stanford University - Center for Advanced Study in the Behavioral Sciences

David Danks

University of California, San Diego

Craig R. Fox

University of California, Los Angeles (UCLA) - Anderson School of Management

Kristian J. Hammond

Northwestern University

Daniel E. Ho

Stanford Law School

Alex Imas

University of Chicago - Booth School of Business

James Landay

Stanford University

Margaret Levi

Stanford University - Center for Advanced Study in the Behavioral Sciences

Jennifer Logg

Georgetown University - McDonough School of Business

Rosalind W. Picard

Massachusetts Institute of Technology (MIT)

Manish Raghavan

Massachusetts Institute of Technology (MIT)

Allison Stanger

Stanford University - Center for Advanced Study in the Behavioral Sciences

Zachary Ugolnik

Stanford University - Center for Advanced Study in the Behavioral Sciences

Anita Williams Woolley

Carnegie Mellon University

Date Written: October 12, 2022

Abstract

We propose an alternate approach to mainstream AI practice that broadens the focus beyond algorithms viewed in isolation to processes of human-algorithm collaboration. The envisioned practice would harness human and machine complementarities to develop systems of human-machine hybrid intelligence. Such systems integrate the best capabilities of both machine intelligence and human users while mitigating the deficits of each. In this approach, outcomes can be improved not only by improving the underlying technologies but also by improving the human-machine collaboration processes.

Given its focus on human-machine collaboration, the hybrid intelligence paradigm presents a new set of scientific questions and design requirements that flow from the simultaneous consideration of machine capabilities and human psychology, behaviors, needs, and values. The envisioned practical field will require a conceptual foundation that extends beyond computational and statistical sciences to also integrate concepts and methods from the behavioral and decision sciences, human-computer interaction (HCI), human-centered design, and applied ethics. Responsibly scaling up the envisioned practical field will require providing development teams with tools that enable them to draw from multiple disciplines and perspectives, and engage in inclusive and participatory approaches to design. The proposed approach complements recent calls to foster responsible computing research and "operationalize ethics" in industry.

Keywords: Hybrid Intelligence, AI Ethics, Human-Computer Interaction, Human-Centered Design

Suggested Citation

Guszcza, James and Danks, David and Fox, Craig R. and Hammond, Kristian J. and Ho, Daniel E. and Imas, Alex and Landay, James and Levi, Margaret and Logg, Jennifer and Picard, Rosalind W. and Raghavan, Manish and Stanger, Allison and Ugolnik, Zachary and Woolley, Anita Williams, Hybrid Intelligence: A Paradigm for More Responsible Practice (October 12, 2022). Available at SSRN: https://ssrn.com/abstract=4301478 or http://dx.doi.org/10.2139/ssrn.4301478

James Guszcza

Stanford University - Center for Advanced Study in the Behavioral Sciences ( email )

David Danks

University of California, San Diego ( email )

9500 Gilman Drive
Mail Code 0502
La Jolla, CA 92093-0112
United States

Craig R. Fox

University of California, Los Angeles (UCLA) - Anderson School of Management ( email )

110 Westwood Plaza
Los Angeles, CA 90095-1481
United States

Kristian J. Hammond

Northwestern University ( email )

Daniel E. Ho

Stanford Law School ( email )

559 Nathan Abbott Way
Stanford, CA 94305-8610
United States
650-723-9560 (Phone)

HOME PAGE: http://dho.stanford.edu

Alex Imas

University of Chicago - Booth School of Business ( email )

5807 S. Woodlawn Avenue
Chicago, IL 60637
United States

James Landay

Stanford University ( email )

Margaret Levi

Stanford University - Center for Advanced Study in the Behavioral Sciences ( email )

75 Alta Rd
Stanford, CA 94305
United States

HOME PAGE: http://www.casbs.org

Jennifer Logg

Georgetown University - McDonough School of Business ( email )

Washington, DC
United States

Rosalind W. Picard

Massachusetts Institute of Technology (MIT) ( email )

Manish Raghavan

Massachusetts Institute of Technology (MIT) ( email )

77 Massachusetts Avenue
50 Memorial Drive
Cambridge, MA 02139-4307
United States

Allison Stanger

Stanford University - Center for Advanced Study in the Behavioral Sciences ( email )

Zachary Ugolnik (Contact Author)

Stanford University - Center for Advanced Study in the Behavioral Sciences ( email )

Anita Williams Woolley

Carnegie Mellon University ( email )

Pittsburgh, PA 15213-3890
United States

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