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An explainable AI system is also susceptible to being “gamed”—influenced in a way that undermines its intended purpose. One study gives the example of a predictive policing system; in this case, those who could potentially “game” the system are the criminals subject to the system's decisions.
Artificial intelligence (AI), in its broadest sense, is intelligence exhibited by machines, particularly computer systems.It is a field of research in computer science that develops and studies methods and software that enable machines to perceive their environment and use learning and intelligence to take actions that maximize their chances of achieving defined goals. [1]
The field of Explainable AI seeks to provide better explanations from existing algorithms, and algorithms that are more easily explainable, but it is a young and active field. [ 18 ] [ 19 ] Others argue that the difficulties with explainability are due to its overly narrow focus on technical solutions rather than connecting the issue to the ...
Explainable AI (XAI), or Interpretable AI, or Explainable Machine Learning (XML), is artificial intelligence (AI) in which humans can understand the decisions or predictions made by the AI. [129] It contrasts with the "black box" concept in machine learning where even its designers cannot explain why an AI arrived at a specific decision. [130]
Because these will be explainable models, they'll also be computationally much more efficient if they work. Now there's a big ‘if’ in if they work, but that doesn't mean we shouldn't try. I'd ...
Previously Mary-Anne was a Distinguished Research Professor at University of Technology Sydney and Director of the UTS Magic Lab. [3] At UNSW Professor Williams works with staff, students, alumni and the broader innovation community to grow innovation and entrepreneurship across the University and accelerate innovative thinking in Australia.
The QLattice works with data in categorical and numeric format. It allows the user to quickly generate, plot and inspect mathematical formulae that can potentially explain the generating process of the data. It is designed for easy interaction with the researcher, allowing the user to guide the search based on their preexisting knowledge. [2] [6]
This week, leaders across Silicon Valley, Washington D.C., Wall Street, and beyond have been thrown into disarray due to the unexpected rise of the Chinese AI company DeepSeek. DeepSeek recently ...
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