There is no shortage of critiques concerning the use of AI in public decision-making processes. Scholars, for example, have described algorithms as a "toxic cocktail for democracy" by pointing at the ...

It contains two main parts: fNIRS risk detection and fNIRS integrated reinforcement learning (RL). The first part covers real-time pre-processing, feature extraction, and classification models. The ...

Algorithms are currently used to assist in a wide array of health care decisions. Despite the general utility of these health care algorithms, there is growing recognition that they may lead to ...

As life grows increasingly digital, Americans rely on algorithms in their daily decision-making—to pick their music on Pandora, guide their program choices on Netflix, and even suggest people to date ...

More experience in a given situation tends to make us feel we are getting better at making decisions. As we gain expertise, our judgments get quicker, too. But quick doesn’t always mean accurate. So, ...

A panel including legal and artificial intelligence (AI) experts made the case today that algorithms used as evidence in court decisions and to influence other criminal justice decisions should be ...

The purpose of this course is to explore collective decision making from an algorithmic point of view. We study settings where groups of agents need to make a joint decision by aggregating preferences ...

As the use of artificial intelligence has spread rapidly throughout the US health care system, concerns have been raised about racial and ethnic biases built into the algorithms that often guide ...