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Steps Toward a Smart Paint Factory
Artificial intelligence is currently omnipresent - in the media, at conferences, in politics and in the business environment. The advent of ChatGPT has generated significant public attention, even though artificial intelligence has existed for almost seven decades and is established as a field of computer science research.
In 1956, scientists from computer science, linguistics and philosophy coined the term "artificial intelligence" as part of the Dartmouth Summer Research Project on Artificial Intelligence. At its core, the aim was to create machines that could demonstrate human abilities, such as reasoning, learning and processing language.
Since 1956, artificial intelligence has made significant progress, now used for applications like autonomous driving and the automated processing of credit card applications.
Can We Use Al for Making Better Decisions?
In their 2014 book, The Second Machine Age, Andrew McAfee and Erik Brynjolfsson put forward the thesis that the next industrial revolution will come from artificial intelligence." Today, it seems we may already be in the middle of this revolution.
One thesis is that human decisions are flawed, especially in complex situations. The authors refer to the work of Daniel Kahneman and Amos Tversky, who pointed to many cognitive biases in their distinction between two systems in human decision making. System 1 represents fast, intuitive decisions, while System 2 represents slow but careful decisions. Cognitive biases, such as a preference for negative news over positive news, often influence decisions.
In highly complex situations, computers can better evaluate data, identify trends, or detect anomalies. However, some scientists consider human intuition to be superior and question the theory of two decision-making systems. The following statements are general rules of thumb for decision making:
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