Breakthrough points for AI in manufacturing
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. \n\nSpeaker:\nDr. József Váncza is Head of the Laboratory for Engineering and Business Intelligence at the HUN-REN Research Institute for Computer Science and Control (SZTAKI), Budapest, Hungary.\n\nModerator:\nLihui Wang\nLihui Wang is a Professor and Chair of Sustainable Manufacturing at KTH, Sweden. He is also the Director of Centre of Excellence in Production Research (XPRES) \n\nThe AI for Good Global Summit is the leading action-oriented United Nations platform promoting AI to advance health, climate, gender, inclusive prosperity, sustainable infrastructure, and other global development priorities. AI for Good is organized by the International Telecommunication Union (ITU) – the UN specialized agency for information and communication technology – in partnership with 40 UN sister agencies and co-convened with the government of Switzerland.\n\nJoin the Neural Network!\nhttps://aiforgood.itu.int/neural-network/\nThe AI for Good networking community platform powered by AI. \nDesigned to help users build connections with innovators and experts, link innovative ideas with social impact opportunities, and bring the community together to advance the SDGs using AI.\n\n Watch the latest #AIforGood videos!\n\n\n Stay updated and join our weekly AI for Good newsletter:\nhttp://eepurl.com/gI2kJ5\n\nCheck out the latest AI for Good news:\nhttps://aiforgood.itu.int/newsroom/\n\nExplore the AI for Good blog:\nhttps://aiforgood.itu.int/ai-for-good-blog/\n\n Connect on our social media:\nWebsite: https://aiforgood.itu.int/\nTwitter: https://twitter.com/AIforGood\nLinkedIn Page: https://www.linkedin.com/company/26511907 \nLinkedIn Group: https://www.linkedin.com/groups/8567748 \nInstagram: https://www.instagram.com/aiforgood \nFacebook: https://www.facebook.com/AIforGood\n\nDisclaimer:\nThe views and opinions expressed are those of the panelists and do not reflect the official policy of the ITU.