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Artificial Intelligence and the Limitations of Information

Capgemini UK, Forge End, Woking, Surrey GU21 6DB, UK
Information 2018, 9(12), 332;
Received: 17 November 2018 / Revised: 7 December 2018 / Accepted: 18 December 2018 / Published: 19 December 2018
(This article belongs to the Special Issue AI AND THE SINGULARITY: A FALLACY OR A GREAT OPPORTUNITY?)
PDF [750 KB, uploaded 20 December 2018]
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Artificial intelligence (AI) and machine learning promise to make major changes to the relationship of people and organizations with technology and information. However, as with any form of information processing, they are subject to the limitations of information linked to the way in which information evolves in information ecosystems. These limitations are caused by the combinatorial challenges associated with information processing, and by the tradeoffs driven by selection pressures. Analysis of the limitations explains some current difficulties with AI and machine learning and identifies the principles required to resolve the limitations when implementing AI and machine learning in organizations. Applying the same type of analysis to artificial general intelligence (AGI) highlights some key theoretical difficulties and gives some indications about the challenges of resolving them. View Full-Text
Keywords: information; philosophy of information; artificial intelligence; machine learning; information quality; information friction information; philosophy of information; artificial intelligence; machine learning; information quality; information friction

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Walton, P. Artificial Intelligence and the Limitations of Information. Information 2018, 9, 332.

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