A Brief History of Artificial Intelligence: On the Past, Present, and Future of Artificial Intelligence
Краткая история искусственного интеллекта: о прошлом, настоящем и будущем искусственного интеллекта
2019-07-17
SCID: 54.1/8du69fkz
Discuss with AI
AI definitionartificial intelligenceflexible adaptationlearning from datamicro-meso-macro perspectives
Figures from the paper
Abstract (AI)
This introduction to this special issue discusses artificial intelligence (AI), commonly defined as “a system’s ability to interpret external data correctly, to learn from such data, and to use those learnings to achieve specific goals and tasks through flexible adaptation.” It summarizes seven articles published in this special issue that present a wide variety of perspectives on AI, authored by several of the world’s leading experts and specialists in AI. It concludes by offering a comprehensive outlook on the future of AI, drawing on micro-, meso-, and macro-perspectives.
Key Findings
1
AI is defined as a system’s ability to correctly interpret external data, learn from it, and use learnings to achieve goals through flexible adaptation.
2
The introduction synthesizes insights and offers a comprehensive outlook on AI’s future across micro-, meso-, and macro-level perspectives.
3
The special issue contains seven articles offering diverse expert perspectives on AI from leading specialists.
Research Object
Artificial intelligence (AI) as a system-level capability
Research Subject
The past, present, and future development, perspectives, and outlooks on AI including its definition, learning/interpretation capabilities, and multi-scale (micro/meso/macro) implications
Publication Details
Publication Date
2019-07-17
Journal
Publisher
ISSN
Access Type
Author Information
Download PDF
Subscribe to digest
Cited by20
Artificial intelligence (AI) applications for marketing: A literature-based study2022
ChatGPT and a new academic reality: Artificial Intelligence‐written research papers and the ethics of the large language models in scholarly publishing2023
An Overview of Artificial Intelligence Ethics2022
The GenAI is out of the bottle: generative artificial intelligence from a business model innovation perspective2023
An artificial intelligence algorithmic approach to ethical decision-making in human resource management processes2022
Artificial intelligence in innovation management: A review of innovation capabilities and a taxonomy of <scp>AI</scp> applications2023
La percepción de la Inteligencia Artificial en contextos educativos tras el lanzamiento de ChatGPT: disrupción o pánico2023
Artificial intelligence and blockchain implementation in supply chains: a pathway to sustainability and data monetisation?2022
Adoption of artificial intelligence in banking services: an empirical analysis2021
Analysis of the adoption of emergent technologies for risk management in the era of digital manufacturing2022
Organizational readiness to adopt artificial intelligence in the exhibition sector in Western Europe2022
State-of-the-Art of Artificial Intelligence and Big Data Analytics Reviews in Five Different Domains: A Bibliometric Summary2023
Theory‐Driven Perspectives on Generative Artificial Intelligence in Business and Management2024
The Impact of Artificial Intelligence Disclosure on Financial Performance2023
Aligning customer and supplier integration for AI-enabled supply chain responsiveness and efficiency2026
Augmenting organizational decision-making with deep learning algorithms: Principles, promises, and challenges2020
Trustworthy artificial intelligence2020
Rising with the machines: A sociotechnical framework for bringing artificial intelligence into the organization2020
Influence of artificial intelligence (AI) on firm performance: the business value of AI-based transformation projects2020
Artificial Intelligence, Transport and the Smart City: Definitions and Dimensions of a New Mobility Era2020