论文标题
阐明人工智能的误解，神话和所需状态
A clarification of misconceptions, myths and desired status of artificial intelligence
论文作者
论文摘要
现场人工智能（AI）成立于65年前。从巨大的希望和雄心勃勃的目标开始，该领域通过各个流行阶段进步，并最近以深层神经网络的形式复兴了。 AI的一些问题是，到目前为止，“智力”或AI的目标既不正式定义，从而在将AI与其他领域进行比较时会引起混乱。在本文中，我们介绍了与机器学习和统计有关的AI所需和当前状态的观点，并阐明了常见的误解和神话。我们的讨论旨在使AI围绕AI的模糊性面纱不呈现，以了解其真正的面容。
The field artificial intelligence (AI) has been founded over 65 years ago. Starting with great hopes and ambitious goals the field progressed though various stages of popularity and received recently a revival in the form of deep neural networks. Some problems of AI are that so far neither 'intelligence' nor the goals of AI are formally defined causing confusion when comparing AI to other fields. In this paper, we present a perspective on the desired and current status of AI in relation to machine learning and statistics and clarify common misconceptions and myths. Our discussion is intended to uncurtain the veil of vagueness surrounding AI to see its true countenance.
