Breakthrough points for AI in manufacturing
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The immense potential of applying AI techniques in manufacturing was early recognized, right from the inception of this field. However, promises, expectations and exaggerations as well as well-founded real-life applications for this evolving technology diverged time and again, resulting in cyclic phases of enthusiasm and setback, prompted by occasional successes and failures. After discussing some key stages of the interplay of AI and manufacturing, the talk will focus on the recent, rapid progress of AI and investigate the anticipated impact of these developments on manufacturing. Indeed, in this domain, we have not yet observed the widespread adoption of disruptive AI innovations into extensive industrial applications. Five areas will be identified where breakthrough is still needed: (1) embodied AI and cognitive robotics, (2) autonomous AI, (3) reasonable and explainable AI, (4) collective AI and team intelligence, as well as (5) trustworthy, responsible AI. Progress in any of these directions will not only enhance research in the other ones and lead to pioneering manufacturing applications but will also significantly contribute to the establishment of governance mechanisms capable of addressing AI risks in the present and the near future.
This live event includes a 30-minute networking event hosted on the AI for Good Neural Network. This is your opportunity to ask questions, interact with the panelists and participants and build connections with the AI for Good community.