Siri, Siri, in my hand: Who’s the fairest in the land? On the interpretations, illustrations, and implications of artificial intelligence

By Andreas M. Kaplan, Michael Haenlein. Business Horizons, 2019

2,354 citations recorded by the source corpus.

Abstract Artificial intelligence (AI)—defined as a system’s ability to correctly interpret external data, to learn from such data, and to use those learnings to achieve specific goals and tasks through flexible adaptation—is a topic in nearly every boardroom and at many dinner tables. Yet, despite this prominence, AI is still a surprisingly fuzzy concept and a lot of questions surrounding it are still open. In this article, we analyze how AI is different from related concepts, such as the Internet of Things and big data, and suggest that AI is not one monolithic term but instead needs to be seen in a more nuanced way. This can either be achieved by looking at AI through the lens of evolutionary stages (artificial narrow intelligence, artificial general intelligence, and artificial super intelligence) or by focusing on different types of AI systems (analytical AI, human-inspired AI, and humanized AI). Based on this classification, we show the potential and risk of AI using a series of case studies regarding universities, corporations, and governments. Finally, we present a framework that helps organizations think about the internal and external implications of AI, which we label the Three C Model of Confidence, Change, and Control.

Subfields: Management Information Systems, Sociology and Political Science, Strategy and Management

View Paper: https://www.semanticscholar.org/paper/da75921084a1fe49c43023fe5a2b15cb2b9a36e8

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Management Information Systems

In Sociology and Political Science

In Strategy and Management

Citations in the corpus

Artificial Intelligence, Transport and the Smart City: Definitions and Dimensions of a New Mobility Era (2020, background): “AI is a concept that is defined as a system’s ability to correctly interpret external data, to learn from such data and to use that learning to achieve specific goals and tasks through flexible adaptation [1].”
Engaging and retaining customers with AI and employee service (2020, neutral): “On the other hand, although AI has evolved from performing basic tasks such as Siri to artificial super intelligence that is expected to be capable of scientific creativity and social skills like a human (Kaplan and Haenlein, 2019), AI operates through computers.”
Re-examining Whether, Why, and How Human-AI Interaction Is Uniquely Difficult to Design (2020, background): “The definitions of AI generally fall into two camps [27, 32, 50].”
Use of AI-based tools for healthcare purposes: a survey study from consumers’ perspectives (2020, background): “Background Artificial Intelligence (AI) generally refers to a computerized system (hardware or software) that is able to perform physical tasks and cognitive functions, solve various problems, or make decisions without explicit human instructions [1].”