ВПЛИВ ЦИФРОВІЗАЦІЇ ТА ШТУЧНОГО ІНТЕЛЕКТУ НА СОЦІАЛЬНУ ВІДПОВІДАЛЬНІСТЬ БІЗНЕСУ У МІЖНАРОДНИХ ЕКОНОМІЧНИХ ВІДНОСИНАХ

The article analyzes the transformative, often paradoxical, influence of digitalization and Artificial Intelligence on Corporate Social Responsibility in the context of International Economic Relations. The research reveals how these technologies, which have become defining forces of the global economy, are fundamentally changing the very nature of corporate responsibility, shifting it from a voluntary initiative to an imperative for maintaining a social license to operate. On one hand, digitalization creates unprecedented opportunities for enhancing the transparency and effectiveness of CSR. Technologies such as blockchain and the Internet of Things enable the creation of verifiable supply chain tracking systems, while digital platforms democratize social engagement, facilitating global volunteering and crowdsourcing initiatives. On the other hand, these same technologies generate profound systemic risks. The collection and analysis of Big Data pose threats to privacy, and unequal access to technology deepens the "digital divide," exacerbating socio-economic inequality through the "Matthew effect." Artificial intelligence acts as a double-edged sword: it can be a powerful tool for achieving sustainable development goals by optimizing energy consumption and monitoring environmental changes, yet it is also a source of new ethical threats. These include algorithmic bias, which reproduces and amplifies societal discrimination; disruptive impacts on labor markets through automation; and the environmental paradox associated with the high energy consumption of AI systems themselves. It is found that traditional CSR approaches are insufficient to address these new challenges. In response, a new conceptual framework is proposed - "Digital Social Responsibility" - as an integrated paradigm that embeds ethical and social considerations directly into the lifecycle of digital technologies based on the principle of responsibility by design. DSR is founded on five key components: algorithmic accountability, data stewardship, digital inclusivity, a sustainable technology lifecycle, and human-centric automation. DSR is viewed as a necessary evolution of CSR, enabling businesses not only to manage risks but also to build sustainable competitive advantages based on trust, transparency, and responsibility in the global digital economy.

Authors

Publication Details

Journal
The Scientific Issues of Ternopil Volodymyr Hnatiuk National Pedagogical University Series pedagogy
Published
2025-10-03
Primary Topic
Digital Transformation in Financial Services
Type
article
Field-Weighted Citation Impact
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article

ВПЛИВ ЦИФРОВІЗАЦІЇ ТА ШТУЧНОГО ІНТЕЛЕКТУ НА СОЦІАЛЬНУ ВІДПОВІДАЛЬНІСТЬ БІЗНЕСУ У МІЖНАРОДНИХ ЕКОНОМІЧНИХ ВІДНОСИНАХ

Ірина Новік, Владислав Ковтуненко
The Scientific Issues of Ternopil Volodymyr Hnatiuk National Pedagogical University Series pedagogy
Digital Transformation in Financial Services
article

ВПЛИВ ЦИФРОВІЗАЦІЇ ТА ШТУЧНОГО ІНТЕЛЕКТУ НА СОЦІАЛЬНУ ВІДПОВІДАЛЬНІСТЬ БІЗНЕСУ У МІЖНАРОДНИХ ЕКОНОМІЧНИХ ВІДНОСИНАХ

Ірина Новік, Владислав Ковтуненко
article en

Abstract

The article analyzes the transformative, often paradoxical, influence of digitalization and Artificial Intelligence on Corporate Social Responsibility in the context of International Economic Relations. The research reveals how these technologies, which have become defining forces of the global economy, are fundamentally changing the very nature of corporate responsibility, shifting it from a voluntary initiative to an imperative for maintaining a social license to operate. On one hand, digitalization creates unprecedented opportunities for enhancing the transparency and effectiveness of CSR. Technologies such as blockchain and the Internet of Things enable the creation of verifiable supply chain tracking systems, while digital platforms democratize social engagement, facilitating global volunteering and crowdsourcing initiatives. On the other hand, these same technologies generate profound systemic risks. The collection and analysis of Big Data pose threats to privacy, and unequal access to technology deepens the "digital divide," exacerbating socio-economic inequality through the "Matthew effect." Artificial intelligence acts as a double-edged sword: it can be a powerful tool for achieving sustainable development goals by optimizing energy consumption and monitoring environmental changes, yet it is also a source of new ethical threats. These include algorithmic bias, which reproduces and amplifies societal discrimination; disruptive impacts on labor markets through automation; and the environmental paradox associated with the high energy consumption of AI systems themselves. It is found that traditional CSR approaches are insufficient to address these new challenges. In response, a new conceptual framework is proposed - "Digital Social Responsibility" - as an integrated paradigm that embeds ethical and social considerations directly into the lifecycle of digital technologies based on the principle of responsibility by design. DSR is founded on five key components: algorithmic accountability, data stewardship, digital inclusivity, a sustainable technology lifecycle, and human-centric automation. DSR is viewed as a necessary evolution of CSR, enabling businesses not only to manage risks but also to build sustainable competitive advantages based on trust, transparency, and responsibility in the global digital economy.

The Scientific Issues of Ternopil Volodymyr Hnatiuk National Pedagogical University Series pedagogy
Openalex Percentile: Top 26%
Digital Transformation in Financial Services
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