机器学习和人工智能的现代挑战

Alexander I. Iliev
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引用次数: 0

摘要

随着人工智能的进步和普及,机器学习模型的使用和发展,自然会在该领域的多个层面带来新的挑战。一方面,为了提高采用率,需要提高对人工智能领域的信任,另一方面,人工智能的使用在很大程度上被那些决定在其工作中采用该术语的人滥用。对人工智能的期望和人工智能是什么,必须划出一条清晰的界限,这样才能增加对人工智能的信任、接受和采用。这些以及其他与数据相关的问题是本文的主要主题。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Modern Challenges in Machine Learning and Artificial Intelligence
The usage and development of Machine Learning models along with the advancement and popularization of Artificial Intelligence, naturally leads to new challenges in multiple levels in the field. In one hand the trust in the field of AI needs to be boosted in order to increase the adoption rate, on the other hand the usage of AI has been largely abused by those who decided to adopt the term in their line of work. A clear line of what is expected from AI and what AI is, must be drawn so that the trust, acceptance and adoption of AI can be increased. These, and other data related problems are the primary subject of this paper.
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