Human-Centered Artificial Intelligence: Reliable, Safe & Trustworthy

被引:345
|
作者
Shneiderman, Ben [1 ,2 ]
机构
[1] Univ Maryland, Dept Comp Sci, College Pk, MD 20742 USA
[2] Univ Maryland, Inst Adv Studies, College Pk, MD 20742 USA
关键词
AUTOMATION; DESIGN; ALGORITHMS; CREATIVITY; IRONIES; MYTHS;
D O I
10.1080/10447318.2020.1741118
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
Well-designed technologies that offer high levels of human control and high levels of computer automation can increase human performance, leading to wider adoption. The Human-Centered Artificial Intelligence (HCAI) framework clarifies how to (1) design for high levels of human control and high levels of computer automation so as to increase human performance, (2) understand the situations in which full human control or full computer control are necessary, and (3) avoid the dangers of excessive human control or excessive computer control. The methods of HCAI are more likely to produce designs that are Reliable, Safe & Trustworthy (RST). Achieving these goals will dramatically increase human performance, while supporting human self-efficacy, mastery, creativity, and responsibility.
引用
收藏
页码:495 / 504
页数:10
相关论文
共 50 条
  • [1] Tutorial: Human-Centered AI: Reliable, Safe and Trustworthy
    Ben Shneiderman
    [J]. 26TH INTERNATIONAL CONFERENCE ON INTELLIGENT USER INTERFACES (IUI '21 COMPANION), 2021, : 7 - 8
  • [2] Correction to: On human-centered artificial intelligence
    Gloria Andrada
    [J]. Metascience, 2023, 32 (2) : 297 - 297
  • [3] Bridging the Gap Between Ethics and Practice: Guidelines for Reliable, Safe, and Trustworthy Human-centered AI Systems
    Ben Shneiderman
    [J]. ACM TRANSACTIONS ON INTERACTIVE INTELLIGENT SYSTEMS, 2020, 10 (04)
  • [4] Human-centered artificial intelligence and machine learning
    Riedl, Mark O.
    [J]. HUMAN BEHAVIOR AND EMERGING TECHNOLOGIES, 2019, 1 (01) : 33 - 36
  • [5] Unconventional Concerns for Human-Centered Artificial Intelligence
    Cheruvu, Ria
    [J]. COMPUTER, 2022, 55 (07) : 46 - 55
  • [6] Human-Centered Design to Address Biases in Artificial Intelligence
    Chen, You
    Clayton, Ellen Wright
    Novak, Laurie Lovett
    Anders, Shilo
    Malin, Bradley
    [J]. JOURNAL OF MEDICAL INTERNET RESEARCH, 2023, 25
  • [7] Six Human-Centered Artificial Intelligence Grand Challenges
    Garibay, Ozlem Ozmen
    Winslow, Brent
    Andolina, Salvatore
    Antona, Margherita
    Bodenschatz, Anja
    Coursaris, Constantinos
    Falco, Gregory
    Fiore, Stephen M. M.
    Garibay, Ivan
    Grieman, Keri
    Havens, John C. C.
    Jirotka, Marina
    Kacorri, Hernisa
    Karwowski, Waldemar
    Kider, Joe
    Konstan, Joseph
    Koon, Sean
    Lopez-Gonzalez, Monica
    Maifeld-Carucci, Iliana
    McGregor, Sean
    Salvendy, Gavriel
    Shneiderman, Ben
    Stephanidis, Constantine
    Strobel, Christina
    Ten Holter, Carolyn
    Xu, Wei
    [J]. INTERNATIONAL JOURNAL OF HUMAN-COMPUTER INTERACTION, 2023, 39 (03) : 391 - 437
  • [8] Editorial: Human-Centered Artificial Intelligence in Industry 5.0
    Mentzas, Gregoris
    Hribernik, Karl
    Stahre, Johan
    Romero, David
    Soldatos, John
    [J]. FRONTIERS IN ARTIFICIAL INTELLIGENCE, 2024, 7
  • [10] Toward a Human-Centered Framework for Trustworthy, Safe and Ethical Generative Artificial Intelligence: A Multi-Level Analysis of Large Language Models Social Impact
    Nieto, Berenice Fernandez
    [J]. PROCEEDINGS OF 2024 28TH INTERNATION CONFERENCE ON EVALUATION AND ASSESSMENT IN SOFTWARE ENGINEERING, EASE 2024, 2024, : 505 - 509