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Artificial intelligence and machine learning have been major researchinterests in computer science for the better part of the last few decades.However, all too recently, both AI and ML have rapidly grown to be mediafrenzies, pressuring companies and researchers to claim they use thesetechnologies. As ML continues to percolate into daily life, we, as computerscientists and machine learning researchers, are responsible for ensuring weclearly convey the extent of our work and the humanity of our models.Regularizing ML for mass adoption requires a rigorous standard for modelinterpretability, a deep consideration for human bias in data, and atransparent understanding of a model's societal effects.

Maintaining The Humanity of Our Models