Work

Human Rights and Ethics Guiding Human-Machine Teaming

Year: 2024

Type: conference-paper

Source: IEEE Global Humanitarian Technology Conference (GHTC)

DOI: 10.1109/ghtc62424.2024.10771558

Authors: Lubna Dajani, Angelo Ferraro, Fumihiro Maruyama, Yuchang Cheng

Institutions: University of South Carolina, Fujitsu (Japan)

Language: English

Topic: Ethics and Social Impacts of AI

Subfield: Safety Research

Field: Social Sciences

Domain: Social Sciences

Open Access status: closed

OpenAlex ID: W4404952961

FWCI: 0.922

Cites: 19

Cited by: 2

Related to: 10