Wyniki wyszukiwania - BazTech

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Ethical implications and social impacts of integrating artificial intelligence into sustainability efforts

Kuzior Aleksandra, Sira Mariya, Brożek Paulina

Zeszyty Naukowe. Organizacja i Zarządzanie / Politechnika Śląska

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2023

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z. 176

333--346

EN

Purpose: The article undertakes a comprehensive investigation into the intricate network of ethical implications and societal impacts that ensue from the integration of artificial intelligence (AI) into initiatives geared towards promoting sustainability. The article seeks to elucidate the complex interplay between AI technologies and sustainability initiatives. Design/methodology/approach: The methodology of this article involves a systematic and thorough literature review process as well as analysis and generalization. Findings: The paper contributes to a nuanced understanding of the ethical and societal implications of integrating artificial intelligence into sustainability efforts, offering valuable insights. Originality/value: The paper holds value for researchers, policymakers, practitioners, and educators involved in artificial intelligence development, sustainability efforts, and ethical considerations.

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Effect of artificial intelligence on the economy

Kuzior Aleksandra, Sira Mariya, Brożek Paulina

Zeszyty Naukowe. Organizacja i Zarządzanie / Politechnika Śląska

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2023

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z. 176

319--331

EN

Purpose: The purpose of this article is to investigate the diverse effects of artificial intelligence (AI) on the economy, with the aim of offering a comprehension of its consequences on different industries and socioeconomic factors. This research endeavours to enhance understanding of the transformative impacts of AI on global economies by investigating the correlation between the adoption of AI and economic dynamics, thereby providing valuable insights. Design/methodology/approach: The research paper utilizes an interdisciplinary methodology that integrates approaches to examine the diverse impacts of artificial intelligence on the economy. Findings: The article presented a nuanced analysis of the multifaceted consequences of adopting AI technology in various aspects including macroeconomics, industry-specific implications, labour market dynamics, socioeconomic factors, and policy considerations. The research outcomes emphasized the significance of a comprehensive and equitable approach to the integration of AI, considering ethical considerations, policy frameworks, and targeted initiatives aimed at ensuring the fair distribution of the advantages and opportunities created by AI. Research limitations/implications: The relationship between the adoption of AI and macroeconomic factors may require a more complex analytical framework. Investigating the possible harmonization and joint efforts between AI and human workers is an avenue that should be explored in future research. To achieve a more thorough comprehension of the multifaceted effects of AI on the economy, upcoming studies should aim to overcome these limitations. Originality/value: The article offers a distinctive perspective by employing a comprehensive and interdisciplinary approach, as well as by considering the broad socioeconomic implications. Its significance lies in providing guidance to policymakers, businesses, researchers, educators, and the wider public, facilitating a more profound comprehension of the impact of AI on economies, and ultimately promoting responsible and fair integration of AI technologies.

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Generative AI takes centre stage: revolutionizing productivity and reshaping industries

Sira Mariya

System Safety : Human - Technical Facility - Environment

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2023

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Vol. 5, iss. 1

57--65

EN

The growing prominence of Generative AI in discussions on artificial intelligence has significant implications for productivity and industry dynamics. This article aims to examine the transformative role of Generative AI, specifically focusing on its revolutionary impact on productivity and its influence on various industries. The objectives of this article include conducting a detailed analysis of how systems have greatly enhanced efficiency for developers and knowledge workers. By examining both the positive and negative aspects of the Generative AI movement, this article aims to provide valuable insights into the innovations driven by Generative AI and the advancements that contribute to its evolution. Through this exploration, the goal is to offer a comprehensive understanding of the current landscape, highlighting the opportunities and challenges presented by the rise of Generative AI in the management sphere.

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Efficient practices of cognitive technology application for smart manufacturing

Sira Mariya

Management Systems in Production Engineering

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2022

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nr 2 (30)

187--191

EN

Cognitive manufacturing (CM) provides for the merging of sensor-based information, advanced analytics, and cognitive technologies, mainly machine learning in the context of Industry 4.0. Manufacturers apply cognitive technologies to review current business metrics, solve essential business problems, generate new value in their manufacturing data and improve quality. The article investigates four powerful applications for cognitive manufacturing and their influence on a company`s maintenance. The study aims to observe kinds of cognitive technology applications for smart manufacturing, distinguish their prospective gains for manufacturers and provide successful examples of their adoption. The analysis is based on the literature and report review. Assessment of the cases of technology adoption proves that cognitive manufacturing provides both enhanced knowledge management and helps organizations improve fundamental business measurements, such as productivity, product reliability, quality, safety, and yield while reducing downtime and lowering costs.