Title: Toward the "all-inclusive" concept for future human-IA systems
Abstract: "I never lose. I either win or learn" Nelson Mandela. The “all-inclusive” concept is inspired from this Mandela’s quote. On the one hand, any experience is beneficial individually and collectively and the human-machine inclusion paradigm has to be applied. On the other hand, human-machine systems have to include every required devices and skills to solve any situations. To do so, future human-IA systems have to adapt norms to the variability of users and not to adapt all users to norms. The talk wll then present this new
“all-inclusive” concept. It is based on four groups of skills to perceive, evaluate and anticipate problems: ability to cooperate, abilities to compete, abilities to learn and abilities to educate. The application of these skills depends on the resource availability and devices to act or interact with the controlled process or other decision-makers. The Competence-Availability-Possibility to Act model (i.e. the CAP model)) is proposed to represent a decision-maker and task sharing between human and AI-based systems will depend on the CAP model parameters and the consequences of their behaviors interpreted in term of benefits, costs and deficits or dangers (i.e., the BCD model). The proposal is up-to-now conceptual but some examples will introduce the interest of such new “all-inclusive” concept for future human-IA system to implement system plasticity and make human-supported AI and AI-supported human processes possible.
Biography: F. Vanderhaegen has a doctorate on Human and Industrial Automation. He was researcher at the National French Scientific Research Center (C.N.R.S.) from 1995 to 2005. He is Professor at the High School of Engineering on Applied sciences (INSA) of the Université Polytechnique Hauts-de-France (in Valenciennes, France) since 2005. He was the head of the Human-Machine Systems research team of the Laboratory of Industrial and Human Automation control, Mechanical engineering and Computer Science from 2004 to 2014. He co-chairs the Technical Committee on Human-Machine Systems of the International Federation on Automatic Control. He chairs the Research Group on Integrated Automation and Human-Machine systems (GRAISyHM). He co-chairs the research pole on Human Factor, Cognitive Engineering and Social Sciences (HORTENS) of the European Railway Research Network of Excellence (EURNEX) and his is co-editor-in-chief of Cognition Technology & Work journal. He is chairing several national and international projects (e.g., European projects from FP5, FP6 and FP7; National projects with the National Research Agency) and conferences (e.g. IFAC/IFIP/IFORS/IEA symposia on Human-Machine Systems, ERGO-IA), His current research topics relate to human reliability, cooperation, learning, resilience engineering, human-systems inclusion and human-machine systems.
2017-now: co-chair of the TC HMS of IFAC
2014-now: co-editor-in-chief of Cognition Tecnology & Work
2014-now: co-chair of the research pole on Human Factor, Cognitive Engineering and Social Sciences (HORTENS) of the European Railway Research Network of Excellence (EURNEX)
2012-now: chair of the research group on Integrated Automation and Human-Machine systems (GRAISyHM)
2011-2017: chair of the Technical Committee on Human-Machine Systems (TC HMS) of the International Federation on Automatic Control (IFAC)
2005-now: Professor at Université Polytechnique Hauts-de-France
2004-2014: head of the Human-Machine systems research group of the LAMIH lab.
1995-2005: Researcher at the National Scientific Research Center (CNRS)
1994: Post-doctoral position at the Joint Research Center, Ispra, Italy
2003: Habilitation to Manage Research on Human and Industrial Automation – Université Polytechnique Hauts-de-France, Valenciennes, France
1993 : PhD on Human and Industrial Automation – Université Polytechnique Hauts-de-France, Valenciennes, France