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AI mostly outperformed human executives in an experiment by University of Cambridge researchers. But AI wasn't as good at making decisions in unexpected "black swan" events.
In artificial intelligence (AI), an expert system is a computer system emulating the decision-making ability of a human expert. [1] Expert systems are designed to solve complex problems by reasoning through bodies of knowledge, represented mainly as if–then rules rather than through conventional procedural programming code. [2]
Automated decision-making involves using data as input to be analyzed within a process, model, or algorithm or for learning and generating new models. [7] ADM systems may use and connect a wide range of data types and sources depending on the goals and contexts of the system, for example, sensor data for self-driving cars and robotics, identity data for security systems, demographic and ...
Algorithm aversion arises from a combination of psychological, task-related, cultural, and design-related factors. These mechanisms interact to shape individuals' negative perceptions and behaviors toward algorithms, even in cases where algorithmic performance is objectively superior to human decision-making.
Her goal is to give leaders the tools to think about how they deploy AI, and to help the public hold AI decision-makers accountable for the choices that impact millions of people, she told Fortune.
Artificial general intelligence (AGI) is a type of artificial intelligence (AI) that matches or surpasses human cognitive capabilities across a wide range of cognitive tasks. This contrasts with narrow AI , which is limited to specific tasks. [ 1 ]
During the AI vs AI race on the morning before the AI vs human contest, the cars were reaching speeds of 200kph. And if it weren’t for the lack of helmets bobbing around the cockpit, they could ...
For such decisions, explainability will not necessarily cause end users to accept the use of decision-making algorithms. We will need to either turn to another method to increase trust and acceptance of decision-making algorithms, or question the need to rely solely on AI for such impactful decisions in the first place.