AI Literacy: Finding Common Threads between Education, Design, Policy, and Explainability

Duri Long; Jessica Roberts; Brian Magerko; Kenneth Holstein; Daniella Dipaola; Fred Martin

doi:10.1145/3544549.3573808

AI Literacy: Finding Common Threads between Education, Design, Policy, and Explainability

Duri Long, Jessica Roberts, Brian Magerko, Kenneth Holstein, Daniella Dipaola, Fred Martin

Communication Studies

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

7 Scopus citations

Abstract

Fostering public AI literacy has been a growing area of interest at CHI for several years, and a substantial community is forming around issues such as teaching children how to build and program AI systems, designing learning experiences to broaden public understanding of AI, developing explainable AI systems, understanding how novices make sense of AI, and exploring the relationship between public policy, ethics, and AI literacy. Previous workshops related to AI literacy have been held at other conferences (e.g., SIGCSE, AAAI) that have been mostly focused on bringing together researchers and educators interested in AI education in K-12 classroom environments, an important subfield of this area. Our workshop seeks to cast a wider net that encompasses both HCI research related to introducing AI in K-12 education and also HCI research that is concerned with issues of AI literacy more broadly, including adult education, interactions with AI in the workplace, understanding how users make sense of and learn about AI systems, research on developing explainable AI (XAI) for non-expert users, and public policy issues related to AI literacy.

Original language	English (US)
Title of host publication	CHI 2023 - Extended Abstracts of the 2023 CHI Conference on Human Factors in Computing Systems
Publisher	Association for Computing Machinery
ISBN (Electronic)	9781450394222
DOIs	https://doi.org/10.1145/3544549.3573808
State	Published - Apr 19 2023
Event	2023 CHI Conference on Human Factors in Computing Systems, CHI 2023 - Hamburg, Germany Duration: Apr 23 2023 → Apr 28 2023

Publication series

Name	Conference on Human Factors in Computing Systems - Proceedings

Conference

Conference	2023 CHI Conference on Human Factors in Computing Systems, CHI 2023
Country/Territory	Germany
City	Hamburg
Period	4/23/23 → 4/28/23

Keywords

AI education
AI ethics
AI literacy
AI4K12
explainable AI
public policy

ASJC Scopus subject areas

Software
Human-Computer Interaction
Computer Graphics and Computer-Aided Design

Access to Document

10.1145/3544549.3573808

Cite this

Long, D., Roberts, J., Magerko, B., Holstein, K., Dipaola, D., & Martin, F. (2023). AI Literacy: Finding Common Threads between Education, Design, Policy, and Explainability. In CHI 2023 - Extended Abstracts of the 2023 CHI Conference on Human Factors in Computing Systems Article 329 (Conference on Human Factors in Computing Systems - Proceedings). Association for Computing Machinery. https://doi.org/10.1145/3544549.3573808

@inproceedings{3371699d4f7e4510a77002affbc4a56a,

title = "AI Literacy: Finding Common Threads between Education, Design, Policy, and Explainability",

abstract = "Fostering public AI literacy has been a growing area of interest at CHI for several years, and a substantial community is forming around issues such as teaching children how to build and program AI systems, designing learning experiences to broaden public understanding of AI, developing explainable AI systems, understanding how novices make sense of AI, and exploring the relationship between public policy, ethics, and AI literacy. Previous workshops related to AI literacy have been held at other conferences (e.g., SIGCSE, AAAI) that have been mostly focused on bringing together researchers and educators interested in AI education in K-12 classroom environments, an important subfield of this area. Our workshop seeks to cast a wider net that encompasses both HCI research related to introducing AI in K-12 education and also HCI research that is concerned with issues of AI literacy more broadly, including adult education, interactions with AI in the workplace, understanding how users make sense of and learn about AI systems, research on developing explainable AI (XAI) for non-expert users, and public policy issues related to AI literacy.",

keywords = "AI education, AI ethics, AI literacy, AI4K12, explainable AI, public policy",

author = "Duri Long and Jessica Roberts and Brian Magerko and Kenneth Holstein and Daniella Dipaola and Fred Martin",

note = "Publisher Copyright: {\textcopyright} 2023 Owner/Author.; 2023 CHI Conference on Human Factors in Computing Systems, CHI 2023 ; Conference date: 23-04-2023 Through 28-04-2023",

year = "2023",

month = apr,

day = "19",

doi = "10.1145/3544549.3573808",

language = "English (US)",

series = "Conference on Human Factors in Computing Systems - Proceedings",

publisher = "Association for Computing Machinery",

booktitle = "CHI 2023 - Extended Abstracts of the 2023 CHI Conference on Human Factors in Computing Systems",

}

Long, D, Roberts, J, Magerko, B, Holstein, K, Dipaola, D & Martin, F 2023, AI Literacy: Finding Common Threads between Education, Design, Policy, and Explainability. in CHI 2023 - Extended Abstracts of the 2023 CHI Conference on Human Factors in Computing Systems., 329, Conference on Human Factors in Computing Systems - Proceedings, Association for Computing Machinery, 2023 CHI Conference on Human Factors in Computing Systems, CHI 2023, Hamburg, Germany, 4/23/23. https://doi.org/10.1145/3544549.3573808

AI Literacy: Finding Common Threads between Education, Design, Policy, and Explainability. / Long, Duri; Roberts, Jessica; Magerko, Brian et al.
CHI 2023 - Extended Abstracts of the 2023 CHI Conference on Human Factors in Computing Systems. Association for Computing Machinery, 2023. 329 (Conference on Human Factors in Computing Systems - Proceedings).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

TY - GEN

T1 - AI Literacy

T2 - 2023 CHI Conference on Human Factors in Computing Systems, CHI 2023

AU - Long, Duri

AU - Roberts, Jessica

AU - Magerko, Brian

AU - Holstein, Kenneth

AU - Dipaola, Daniella

AU - Martin, Fred

PY - 2023/4/19

Y1 - 2023/4/19

N2 - Fostering public AI literacy has been a growing area of interest at CHI for several years, and a substantial community is forming around issues such as teaching children how to build and program AI systems, designing learning experiences to broaden public understanding of AI, developing explainable AI systems, understanding how novices make sense of AI, and exploring the relationship between public policy, ethics, and AI literacy. Previous workshops related to AI literacy have been held at other conferences (e.g., SIGCSE, AAAI) that have been mostly focused on bringing together researchers and educators interested in AI education in K-12 classroom environments, an important subfield of this area. Our workshop seeks to cast a wider net that encompasses both HCI research related to introducing AI in K-12 education and also HCI research that is concerned with issues of AI literacy more broadly, including adult education, interactions with AI in the workplace, understanding how users make sense of and learn about AI systems, research on developing explainable AI (XAI) for non-expert users, and public policy issues related to AI literacy.

AB - Fostering public AI literacy has been a growing area of interest at CHI for several years, and a substantial community is forming around issues such as teaching children how to build and program AI systems, designing learning experiences to broaden public understanding of AI, developing explainable AI systems, understanding how novices make sense of AI, and exploring the relationship between public policy, ethics, and AI literacy. Previous workshops related to AI literacy have been held at other conferences (e.g., SIGCSE, AAAI) that have been mostly focused on bringing together researchers and educators interested in AI education in K-12 classroom environments, an important subfield of this area. Our workshop seeks to cast a wider net that encompasses both HCI research related to introducing AI in K-12 education and also HCI research that is concerned with issues of AI literacy more broadly, including adult education, interactions with AI in the workplace, understanding how users make sense of and learn about AI systems, research on developing explainable AI (XAI) for non-expert users, and public policy issues related to AI literacy.

KW - AI education

KW - AI ethics

KW - AI literacy

KW - AI4K12

KW - explainable AI

KW - public policy

UR - http://www.scopus.com/inward/record.url?scp=85158128419&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85158128419&partnerID=8YFLogxK

U2 - 10.1145/3544549.3573808

DO - 10.1145/3544549.3573808

M3 - Conference contribution

AN - SCOPUS:85158128419

T3 - Conference on Human Factors in Computing Systems - Proceedings

BT - CHI 2023 - Extended Abstracts of the 2023 CHI Conference on Human Factors in Computing Systems

PB - Association for Computing Machinery

Y2 - 23 April 2023 through 28 April 2023

ER -

Long D, Roberts J, Magerko B, Holstein K, Dipaola D, Martin F. AI Literacy: Finding Common Threads between Education, Design, Policy, and Explainability. In CHI 2023 - Extended Abstracts of the 2023 CHI Conference on Human Factors in Computing Systems. Association for Computing Machinery. 2023. 329. (Conference on Human Factors in Computing Systems - Proceedings). doi: 10.1145/3544549.3573808

AI Literacy: Finding Common Threads between Education, Design, Policy, and Explainability

Abstract

Publication series

Conference

Keywords

ASJC Scopus subject areas

Access to Document

Other files and links

Fingerprint

Cite this