Штучний Інтелект У Технічних Системах І Його Соціально-економічний Вплив На Виробництво Та Суспільство

Counts differ because each database indexes a different set of publications. We treat OpenAlex as the canonical count; Google Scholar is not shown (no API, and crawling it violates its ToS).

The article aims to analyze the impact of artificial intelligence (AI) on art and creative industries, industrial production, and the information environment. The study identifies transformations, evaluates the benefits and drawbacks of AI implementation, and proposes mechanisms to balance innovation with social justice, focusing on mitigating risks such as inequality, algorithmic bias, and job displacement. The analysis draws on empirical data from global organizations like UNESCO, WEF, and others, as well as legal precedents, formulating policy recommendations through an economic, sociological, and legal approach. The methodology integrates qualitative and quantitative analysis of secondary sources, including reports from UNESCO, UNCTAD, WEF, Deloitte, and McKinsey, employing literature reviews, statistical data, and case studies. Comparative analysis covers regulations and sociological effects, supported by projections to ensure objectivity. AI democratizes creativity, enabling art creation without specialized skills but diminishing the value of professional work. In production, it reduces costs by 15–30 % and downtime by 25 % but threatens job losses. In the information sphere, deepfakes and polarization increase disinformation by 25 %. Case studies highlight precedents in copyright and stages of industrial AI adoption. AI concentrates on major platforms, exacerbating inequalities. The study’s novelty lies in synthesizing data on deepfakes as mainstream tools, the concept of the “augmented artist,” and “algorithmic pluralism.” Analysis of AI integration’s energy demands and localized supply chains updates the theory of “digital unemployment,” emphasizing the retraining of 59 % of workers. Recommendations include the EU AI Act (content labeling, fines up to €35 million), regional data centers, tax incentives for SMEs, ethical protocols, blockchain for content provenance, and media literacy. These measures reduce risks, enhance productivity and preserve cultural diversity.