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Can We Trust AI to Make Decisions?

The article focuses on the evolution of decision-making in artificial intelligence (AI), particularly the shift from traditional rule-based systems to data-driven machine learning algorithms. It explores the advantages and limitations of data-driven AI, highlighting concerns about its potential to s...

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Published in:Skeptic Vol. 29; no. 1; pp. 24 - 28
Main Authors: GASSER, URS, MAYER-SCHÖNBERGER, VIKTOR
Format: Article
Published: Skeptics Society 2024
Subjects:
Artificial intelligence
Decision making
Machine learning
Algorithms
Experiments
Online Access:View this record in EBSCOhost
Summary:The article focuses on the evolution of decision-making in artificial intelligence (AI), particularly the shift from traditional rule-based systems to data-driven machine learning algorithms. It explores the advantages and limitations of data-driven AI, highlighting concerns about its potential to stifle innovation and adaptability by favoring consistency over experimentation.