BUILDING A DATA ETHICAL FUTURE: Data Policies and Frameworks

Title

BUILDING A DATA ETHICAL FUTURE: Data Policies and Frameworks

Creator

Puthur L.; Karakunnel M.; Miranda D.; Arora T.

Description

Technology-driven choices are shaping the digital engagement of individuals and policymakers. Rapid technological advancements and the increasing utilisation of Big Data and Artificial Intelligence (AI) have presented profound ethical challenges concerning privacy, accountability, and transparency. Existing Data Acts, internet policies, and government frameworks fall short of protecting individuals and states from violations of their digital footprints. This article advocates for a human-centric approach to data ethics, drawing on the concept of the common good, as articulated by John Rawls. Through a systematic review of global data privacy laws, acts, guidelines, and practices, the article examines potential disparities and emphasises the need for universal data legislation, guidelines, and policies. It highlights the significance of data policies and frameworks in fostering ethical data usage, trust, and integrity. By applying Kants philosophy of respecting individuals autonomy, the article emphasises the importance of informed consent and recommends ethical guidelines for both users and content creators. 2023, Journal of Dharma: Dharmaram Journal of Religions and Philosophies (DVK, Bangalore)

Source

Journal of Dharma, Vol-48, No. 2, pp. 231-248.

Date

2023-01-01

Publisher

Dharma Research Association

Subject

Artificial Intelligence; Common Good; Data Ethics; Data Privacy; Digital Engagement; Human-Centric Policies and Frameworks; John Rawls; Technology-Driven Choices

Coverage

Puthur L., Christ (Deemed to be) University, India; Karakunnel M., Christ (Deemed to be) University, India; Miranda D., Christ (Deemed to be) University, Bengaluru, India; Arora T., Department of Professional Studies, Christ (Deemed-to-be-University)., India

Rights

Restricted Access

Relation

ISSN: 2537222

Format

Online

Language

English

Type

Article

Identifier

https://www.scopus.com/inward/record.uri?eid=2-s2.0-85165268178&partnerID=40&md5=14c3956ccf74d9b045541d2662814143