The Role of Artificial Intelligence in Redefining Consent under Global Data Protection Frameworks
Abstract
Background: Rapid advances in artificial intelligence (AI) — particularly systems that automate profiling, infer sensitive attributes, personalize interactions, and nudge behavior — are straining traditional concepts of consent embedded within global data protection frameworks. Established consent paradigms (informed, specific, freely given, and unambiguous) were designed for relatively discrete human–data interactions and are poorly matched to continuous, opaque, and ecosystemic AI data flows.
References
California Consumer Privacy Act of 2018, Cal. Civ. Code §§ 1798.100–1798.199 (amended 2020).
European Data Protection Board. (2020). Guidelines 05/2020 on consent under Regulation 2016/679. EDPB. https://edpb.europa.eu
European Parliament & Council of the European Union. (2016). General Data Protection Regulation (GDPR) (Regulation (EU) 2016/679). Official Journal of the European Union, L119, 1–88.
European Parliament & Council of the European Union. (2024). Artificial Intelligence Act (AI Act) – Draft text. Brussels: EU.
Government of Brazil. (2018). Lei Geral de Proteção de Dados Pessoais (LGPD), Law No. 13,709/2018.
Government of India. (2023). Digital Personal Data Protection Act, 2023 (DPDP Act). New Delhi: Ministry of Electronics and Information Technology.
Mittelstadt, B. D., Allo, P., Taddeo, M., Wachter, S., & Floridi, L. (2016). The ethics of algorithms: Mapping the debate. Big Data & Society, 3(2), 1–21. https://doi.org/10.1177/2053951716679679
Solove, D. J. (2021). The myth of the privacy paradox. George Washington Law Review, 89(1), 1–54.
Susser, D., Roessler, B., & Nissenbaum, H. (2019). Online manipulation: Hidden influences in a digital world. Georgetown Law Technology Review, 4(1), 1–45.
World Economic Forum. (2022). Redesigning data privacy: Consent management in the age of AI. WEF White Paper.
Refbacks
- There are currently no refbacks.