Impact of AI regulation and governance on online personal data sharing: from sociolegal, technology and policy perspective

Abstract

Purpose The purpose of this study is to investigate the impacts of regulations and governance of artificial intelligence (AI) on personal data sharing (PDS) in the context of sociolegal, technology and policy perspective. Design/methodology/approach With the help of theories and literature review, some hypotheses have been formulated and a conceptual model has been developed. These are statistically validated. The validated model has been compared again using impact of regulation and governance of AI as a moderator. The validation has been done using survey by PLS analysis. Findings The study found that there is a high level of positive impact of regulation and governance of AI on the online PDS by the users. Research limitations/implications This study has provided a statistical model which can provide the antecedents of PDS by the online users with the impact of AI regulation and governance as a moderator. The proposed model has explanative power of 92%. Practical implications The study highlighted that there is a necessity of having appropriate AI regulations so that users could share their personal data online without any hesitation. Policymakers and legal fraternity should work together to formulate a comprehensive AI regulation and governance framework. Originality/value To the best of the authors’ knowledge, there is no study on the impact of AI regulation and governance towards PDS and how it impacts on the security, privacy and trust of the online users.

User trust in artificial intelligence: A comprehensive conceptual framework

“…The perceived system quality often concerns security issues and whether the AI-supported system has an established structural assurance, e.g. site authentication and privacy protection policies and regulations (Anwar, 2020;Chatterjee & Sreenivasulu, 2021;Kim & Peterson, 2017;Nasirian et al, 2017;Nilashi et al, 2015;Qin et al, 2020). In other words, users will have more confidence in an information system's trustworthiness if it has the mechanisms to protect their shared personal information (e.g.…”

“…For example, Mostafa et al (2021) found that initial trust increases chatbot usage intention and user engagement in the context of online customer services. Chatterjee and Sreenivasulu (2021) reported that user trust has a positive effect on personal information-sharing behaviors on online platforms. Likewise, Park (2020) reported a positive and significant effect of trust on usage intention in the context of AI-enabled tourism services.…”

“…data governance) of organizations that adopt AI technologies (Janssen et al, 2020). For example, more rigorous data governance is required by organizations that provide AI-enabled services to groups that are sensitive to privacy issues (Chatterjee & Sreenivasulu, 2021;Janssen et al, 2020). Despite the interactions between the different influencing factors of user trust in AI, there remains a lack of studies that simultaneously include the various facets in their research design.…”

Unpacking Smart Campus Assessment: Developing a Framework via Narrative Literature Review

“…In addition, global-scale agreements must be adopted with common goals that are flexible and accommodate global contexts. A global network of robust national institutions to drive global data governance is evolving [144]. Finally, data governance principles should be universalized to enable compliance across regions and nations.…”

Study on the Regulation of Criminal Procedure System in the Age of Artificial Intelligence

“…The evolution of payment methods has led to the constant updating of crime, as demonstrated by the evolution of payment methods. From fraudulent withdrawals at ATM machines to fraudulent use of online banking and other mobile payments, all new forms of crime are being affected by artificial intelligence [3]. Therefore, artificial intelligence technology may lead to the creation of new forms of crime due to the emergence of new combinations.…”