Expert Systems are AI programs designed to mimic the decision-making abilities of human experts in specific domains by using a knowledge base of facts and a set of logical rules to draw conclusions, mainly using if-then rules. They were created in the 1970s and were some of the first successful forms of AI software. Unlike modern machine learning systems that learn from data, Expert Systems rely on explicitly programmed knowledge from domain experts, making them highly interpretable but limited to narrow, well-defined problem areas.
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This brief presents one of the first empirical investigations into AI ethics on the ground in private technology companies.
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