This paper comprehensively surveys existing works of chip design with ML algorithms from an algorithm perspective. To accomplish this goal, the authors propose a novel and systematical taxonomy for ...

Michael Kearns and Aaron Roth, professors at the University of Pennsylvania, suggest that the solution is to "embed precise definitions of fairness, accuracy, transparency, and ethics at the algorithm ...

As society attempts to solve more and more problems computationally, the need for efficient algorithms to solve these problems continues to grow. Just as importantly, to be able to apply or adapt ...

We know that algorithms can outperform humans across an expanding range of settings, from medical diagnosis and image recognition to crime prediction. However, an ongoing concern is the potential for ...