Examining the Role of Genuine Emotions for Trustworthy AI

被引:1
|
作者
Wibiral, Tim [1 ]
Hannibal, Glenda [1 ]
机构
[1] Ulm Univ, Inst Artificial Intelligence, Ulm, Germany
来源
PROCEEDINGS OF THE 11TH CONFERENCE ON HUMAN-AGENT INTERACTION, HAI 2023 | 2023年
关键词
AI; Trust; Trustworthiness; Intelligence; AGI; SOCIALLY INTELLIGENT ROBOTS; TRUST; CHALLENGES;
D O I
10.1145/3623809.3623951
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
Trust is a fundamental part of interpersonal relationships and due to the rise of AI systems in many domains, we must examine their trustworthiness. While it is possible to rely on AI to perform certain tasks in certain situations, they do not warrant interpersonal trust. An AI can only be considered trustworthy if it is normatively or affectively motivated to act as expected. We present the argument that the absence of genuine emotions in current AI systems renders them untrustworthy, even if they appear emotional by exhibiting social cues.
引用
收藏
页码:431 / 433
页数:3
相关论文
共 50 条
  • [41] The role of explainable AI in the context of the AI Act
    Panigutti, Cecilia
    Hamon, Ronan
    Hupont, Isabelle
    Fernandez Llorca, David
    Yela, Delia Fano
    Junklewitz, Henrik
    Scalzo, Salvatore
    Mazzini, Gabriele
    Sanchez, Ignacio
    Soler Garrido, Josep
    Gomez, Emilia
    PROCEEDINGS OF THE 6TH ACM CONFERENCE ON FAIRNESS, ACCOUNTABILITY, AND TRANSPARENCY, FACCT 2023, 2023, : 1139 - 1150
  • [42] Apologies repair children's trust: The mediating role of emotions
    Ma, Fengling
    Wylie, Breanne E.
    Luo, Xianming
    He, Zhenfen
    Xu, Fen
    Evans, Angela D.
    JOURNAL OF EXPERIMENTAL CHILD PSYCHOLOGY, 2018, 176 : 1 - 12
  • [43] Examining AI and Systemic Factors for Improved Chatbot Sustainability
    Park, Arum
    Lee, Sae Bom
    JOURNAL OF COMPUTER INFORMATION SYSTEMS, 2024, 64 (06) : 728 - 742
  • [44] Scenarios Engineering: Enabling Trustworthy and Effective AI for Autonomous Vehicles
    Li, Xuan
    Wang, Fei-Yue
    IEEE TRANSACTIONS ON INTELLIGENT VEHICLES, 2023, 8 (05): : 3205 - 3210
  • [45] A data-centric approach for ethical and trustworthy AI in journalism
    Dierickx, Laurence
    Opdahl, Andreas Lothe
    Khan, Sohail Ahmed
    Linden, Carl-Gustav
    Guerrero Rojas, Diana Carolina
    ETHICS AND INFORMATION TECHNOLOGY, 2024, 26 (04)
  • [46] Stakeholder perspectives on ethical and trustworthy voice AI in health care
    Belisle-Pipon, Jean-Christophe
    Powell, Maria
    English, Renee
    Malo, Marie-Francoise
    Ravitsky, Vardit
    Bensoussan, Yael
    DIGITAL HEALTH, 2024, 10
  • [47] Trustworthy artificial intelligence and ethical design: public perceptions of trustworthiness of an AI-based decision-support tool in the context of intrapartum care
    Dlugatch, Rachel
    Georgieva, Antoniya
    Kerasidou, Angeliki
    BMC MEDICAL ETHICS, 2023, 24 (01)
  • [48] Trustworthy artificial intelligence and ethical design: public perceptions of trustworthiness of an AI-based decision-support tool in the context of intrapartum care
    Rachel Dlugatch
    Antoniya Georgieva
    Angeliki Kerasidou
    BMC Medical Ethics, 24
  • [49] Developing AI for Weather Prediction: Ethics of Design and Anxieties about Automation at the US Institute for Research on Trustworthy AI in Weather, Climate, and Coastal Oceanography
    Lukacz, Przemyslaw Matt
    SCIENCE AND TECHNOLOGY STUDIES, 2024, 37 (04): : 40 - 61
  • [50] You, Me, and the AI: The Role of Third-Party Human Teammates for Trust Formation Toward AI Teammates
    Erengin, Turku
    Briker, Roman
    de Jong, Simon B.
    JOURNAL OF ORGANIZATIONAL BEHAVIOR, 2025,