A Brief History of Artificial Intelligence: On the Past, Present, and Future of Artificial Intelligence

  title={A Brief History of Artificial Intelligence: On the Past, Present, and Future of Artificial Intelligence},
  author={Michael Haenlein and Andreas M. Kaplan},
  journal={California Management Review},
  pages={14 - 5}
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… 


This paper critically examines developments in the field of AI from multiple perspectives – research, technological, social and pragmatic.

Artificial intelligence and the world of work, a co‐constitutive relationship

An opinion piece considers 3 questions of Work in the Age of Intelligent Machines (WAIM) by drawing on discussion from an engaging 2019 iConference workshop organized by the NSF supported WAIM research coordination network.

A High-Level Overview of Artificial Intelligence: Historical Overview and Emerging Developments

Historically, AI came into the spotlight driven by allies on the two sides of the Atlantic Ocean, the United Kingdom and the United States. In 1950, Turing put together and published Computing

Artificial Intelligence, Marketing, and the Fourth Industrial Revolution

Artificial intelligence has been part of the world of marketing for some time now. This chapter will look at how artificial intelligence is defined and classified, illustrating its potential for the

Artificial Intelligence as a Service

Cloud providers such as Amazon, Google, IBM, Microsoft, Salesforce, or SAP have started to offer machine learning, deep learning, analytics, and inference as a service, bringing the discussions about provisioning AI capabilities from the cloud into practice.

Artificial Intelligence at Work: An Overview of the Literature

This paper provides an overview of the actual and likely labour market transformations caused by increasing use of Artificial Intelligence (AI) technologies across the advanced economies, with a

The Process of Designing Artificial Intelligence: Development Trends and Prospects

  • Eugeniu B. Cozac
  • Computer Science
    Scientific Bulletin of Mukachevo State University. Series «Economics»
  • 2021
The research materials are of practical value for a critical analysis of current artificial intelligence capabilities, reasons why it still cannot achieve human intelligence, and the challenges it faces when achieving and surpassing the level of human intelligence.

AI for all: defining the what, why, and how of inclusive AI

This paper highlights issues to initiate discussions on what it means for AI to be inclusive, and why is inclusive AI required, and how can it be achieved.

A framework for understanding artificial intelligence research: insights from practice

This is the first study to consider the practitioner's AI perspective in designing a conceptual framework for AI research classification and the proposed framework and research agenda are used to show how IS could become a reference discipline in contemporary AI research.