AI-enabled digital identity – inputs for stakeholders and policymakers

Abstract

Purpose This conceptual article’s primary aim is to identify the significant stakeholders of the digital identity system (DIS) and then highlight the impact of artificial intelligence (AI) on each of the identified stakeholders. It also recommends vital points that could be considered by policymakers while developing technology-related policies for effective DIS. Design/methodology/approach This article uses stakeholder methodology and design theory (DT) as a primary theoretical lens along with the innovation diffusion theory (IDT) as a sub-theory. This article is based on the analysis of existing literature that mainly comprises academic literature, official reports, white papers and publicly available domain experts’ interviews. Findings The study identified six significant stakeholders, i.e. government, citizens, infrastructure providers, identity providers (IdP), judiciary and relying parties (RPs) of the DIS from the secondary data. Also, the role of IdP becomes insignificant in the context of AI-enabled digital identity systems (AIeDIS). The findings depict that AIeDIS can positively impact the DIS stakeholders by solving a range of problems such as identity theft, unauthorised access and credential misuse, and will also open a possibility of new ways to empower all the stakeholders. Research limitations/implications The study is based on secondary data and has considered DIS stakeholders from a generic perspective. Incorporating expert opinion and empirical validation of the hypothesis could derive more specific and context-aware insights. Practical implications The study could facilitate stakeholders to enrich further their understanding and significance of developing sustainable and future-ready DIS by highlighting the impact of AI on the digital identity ecosystem. Originality/value To the best of the authors’ knowledge, this article is the first of its kind that has used stakeholder theory, DT and IDT to explain the design and developmental phenomenon of AIeDIS. A list of six significant stakeholders of DIS, i.e. government, citizens, infrastructure providers, IdP, judiciary and RP, is identified through comprehensive literature analysis.

Artificial intelligence and big data: ontological and communicative perspectives in multi-sectoral scenarios of modern businesses

“…Therefore, proper ontology which includes the use of exact and relevant terms can play an important role in communicating with various stakeholders. Similarly, if the business is able to combine big data applications with AI (Wamba-Taguimdje et al , 2020; Mir et al , 2021), various business issues based on vast data as input with the use of AI techniques can work wonders. In the area of knowledge-based marketing in B2B AI operated systems are proving to be very successful (Paschen et al , 2019).…”

National Digital Identity: Current Landscape, Emerging Technologies and Future Directions

“…In addition to blockchain and biometrics, there are several other potential future developments in the field of NDI. One of these is the use of artificial intelligence (AI) and machine learning (ML) to improve the performance and security of NDI systems (Mir et al, 2022). AI and ML can help detect and prevent fraud, automate verification processes and provide a more personalised user experience.…”

Determinants of National Digital Identity Verification Platform Acceptance Among Young Investors in Malaysia

“…NDIV platform acceptance is the degree to which a person consents to the NDIV platform (Chong et al, 2021). There were several terms for the NDIV platform used in previous research studies, including digital identity (Rivera et al, 2017;Engeness, 2021;Korać et al, 2021;Madon and Schoemaker, 2021;Sule et al, 2021); privacy-preserving authentication technology (Harbach et al, 2013); digital identity system (Mir et al, 2021;; and biometric facial recognition system (Hizam et al, 2021). The different countries had different names for their digital identity verification platform.…”

“…The NDIV platform was viewed as beneficial not only to citizens of a country but also to refugees in refugee management (Madon and Schoemaker, 2021;; education; health services, and other social journal.ump.edu.my/jgi ◄ benefits (Sule et al, 2021); stakeholders and policymakers (Mir et al, 2021); and for better information security in elearning systems (Korać et al, 2021;Engeness, 2021). The implementation of the NDIV platform showed numerous success stories in the countries it was implemented.…”