Canada Excellence Research Chair in Autonomous Artificial Intelligence

人工智能(AI)在图像处理、语音识别和医疗诊断等领域取得了显著进展。尽管如此，人工智能仍远未接近人类水平的智能，自主功能对于推动人工智能朝着这一目标前进绝对至关重要。有了这个CERC，伊琳娜·里什博士建议将人工智能研究与来自生物学、神经科学、心理学、哲学和其他学科的大量关于头脑和大脑的知识联系起来。其目的是通过开发和使用更好的大脑功能计算模型来增强人工智能，包括可塑性、注意力、记忆、奖励加工、动机、情绪和其他功能，从而可能实现自主人工智能。CERC将建立一个研究人员社区，他们可以弥合这些学科之间的差距，为建立一门新的、统一的生物和人工智能科学铺平道路。它还将使加拿大保持其作为世界级人工智能研究和创新中心的声誉。

Artificial intelligence (AI) has made remarkable advances in areas such as image processing, speech recognition and medical diagnoses. Nevertheless, AI is still far from approaching human-level intelligence, and autonomous functionality is absolutely critical to advance AI towards this goal. With this CERC, Dr. Irina Rish proposes to connect AI research with vast amounts of knowledge about the mind and brain from biology, neuroscience, psychology, philosophy and other disciplines. The objective is to augment AI by developing and using better computational models of brain functioning, including plasticity, attention, memory, reward processing, motivation, emotions and other functions so that Autonomous AI may be achieved. This CERC will build a community of researchers who can bridge the gap between these disciplines, paving the way towards a new, unified science of both biological and artificial intelligence. It will also enable Canada to maintain its reputation as a world-class hub for AI research and innovation.