{"id":6087,"date":"2021-05-12T16:15:45","date_gmt":"2021-05-12T14:15:45","guid":{"rendered":"https:\/\/www.isir.upmc.fr\/?post_type=isir_news&p=6087"},"modified":"2021-05-12T16:22:53","modified_gmt":"2021-05-12T14:22:53","slug":"humane-ai-net-towards-a-dynamic-european-network-of-ai-research-centers","status":"publish","type":"isir_news","link":"https:\/\/www.isir.upmc.fr\/news\/humane-ai-net-towards-a-dynamic-european-network-of-ai-research-centers\/?lang=en","title":{"rendered":"HumanE AI Net: towards a dynamic European network of Artificial Intelligence research centers"},"content":{"rendered":"\n

The \u00ab\u00a0HumanE AI Net<\/a>\u00a0\u00bb project is laureate of the Horizon 2020 call \u201cInformation and Communication Technologies: \u201cICT-48-2020\u201d: Towards a vibrant European network of AI excellence centers. <\/p>\n\n\n\n

HumaneAI Vision of European Artificial Intelligence<\/strong><\/h3>\n\n\n\n

The \u00ab\u00a0HumanE AI Net\u00a0\u00bb project, which gathers 53 European institutions including Sorbonne University<\/a>, aims to build a European AI center, with a focus on human-machine interactions. The research programs aim to place individuals and society in a position to perceive and understand the complex phenomena underlying AI systems, to solve problems individually and collectively, to access new forms of creativity and experience.<\/p>\n\n\n\n

The core challenge is the development of robust, trustworthy AI capable of \u00ab\u00a0understanding\u00a0\u00bb humans, adapting to complex real-world environments, and appropriately interacting in complex social settings. The aim is to facilitate AI systems that enhance human capabilities and empower individuals and society as a whole while respecting human autonomy and self-determination. <\/p>\n\n\n\n

The main implementation mechanism of the research program, collaborative microprojects involve 2-5 partners working together for a period of 1-6 months to solve a well-defined problem related to a specific scientific\/technological challenge. The research results will be made available to the European AI community through the AI4EU platform and a virtual laboratory.<\/p>\n\n\n\n

In addition, a series of summer schools, tutorials and MOOCs will be deployed to disseminate knowledge. On the innovation and transfer side, an industrial PhD program will be deployed to involve industrial actors from sectors crucial to the European economy.<\/p>\n\n\n\n

Micro-Projects running at ISIR<\/strong><\/h3>\n\n\n\n

(1) Coping with the variability of human feedback during interactive learning through ensemble reinforcement learning<\/strong><\/h4>\n\n\n\n

This project entails robot online behavioral adaptation during interactive learning with humans. Specifically, the robot shall adapt to each human subject\u2019s specific way of giving feedback during the interaction. Feedback here includes reward, instruction and demonstration, and can be regrouped under the term \u201cteaching signals\u201d. As an example, when exchanging objects reachable by only one partner in order to put them in various boxes, some human subjects prefer a proactive robot while others prefer the robot to wait for their instructions; some only tell the robot when it performs a wrong action, while others reward correct actions. <\/p>\n\n\n\n

The main outcome will be a new ensemble method of human-robot interaction which can learn models of various human feedback strategies and use them for online tuning of reinforcement learning so that the robot can quickly learn an appropriate behavioral policy. We will start by formally deriving an optimal solution to the problem and then compare the empirical performance of ensemble methods to this optimum through a set of numerical simulations.<\/p>\n\n\n\n