Exportar Publicação

A publicação pode ser exportada nos seguintes formatos: referência da APA (American Psychological Association), referência do IEEE (Institute of Electrical and Electronics Engineers), BibTeX e RIS.

Exportar Referência (APA) 
Pereira, A. da C. (2025). Data, AI systems, and society: Ethical dilemmas in the digital age. AI and Ethics. 5 (6), 6007-6016
Exportar Referência (IEEE) 
A. D. Pereira,  "Data, AI systems, and society: Ethical dilemmas in the digital age", in AI and Ethics, vol. 5, no. 6, pp. 6007-6016, 2025
Exportar BibTeX 
@article{pereira2025_1764921094119,
	author = "Pereira, A. da C.",
	title = "Data, AI systems, and society: Ethical dilemmas in the digital age",
	journal = "AI and Ethics",
	year = "2025",
	volume = "5",
	number = "6",
	doi = "10.1007/s43681-025-00834-1",
	pages = "6007-6016",
	url = "https://link.springer.com/journal/43681"
}
Exportar RIS 
TY  - JOUR
TI  - Data, AI systems, and society: Ethical dilemmas in the digital age
T2  - AI and Ethics
VL  - 5
IS  - 6
AU  - Pereira, A. da C.
PY  - 2025
SP  - 6007-6016
SN  - 2730-5953
DO  - 10.1007/s43681-025-00834-1
UR  - https://link.springer.com/journal/43681
AB  - Collecting and using biometric data in AI systems presents significant ethical, legal, and societal challenges. This paper critically examines the interplay between emergent AI technologies, normative ethics, and governance, drawing from an experiment on emotionally embedded cognition and applications used during the COVID-19 pandemic. Ethical and regulatory frameworks underscore the pivotal role of governance in mitigating risks associated with AI. The European Union’s Artificial Intelligence Act establishes critical boundaries by categorizing AI systems based on risk levels, prohibiting those deemed unacceptable, and imposing strict compliance requirements on high-risk systems, including biometric surveillance tools. The text explores key concerns such as data privacy, consent, and normative regulation, proposing an ethical framework grounded in regulation, digital literacy, and shared responsibility. This paper contributes to ongoing debates on ensuring ethical and equitable AI innovation by situating data governance within broader AI ethics.
ER  -