Scientific and Ethical Committee
Members
Team member
Prof. Giuseppe Boccignone
PRESIDENT
Giuseppe Boccignone is a Full Professor at the Dipartimento di Informatica (Dept. of Computer Science). of the University of Milano, Italy, where he lectures on Principles and Models of Perception, Human/Computer Interaction 2, Models of Affective and Behavioral Computing, Probability and Statistcs.
Team member
Prof. Paolo Napoletano
MEMBER
Paolo Napoletano is Associate Professor of Computer Science at Department of Informatics, Systems and Communication of the University of Milano-Bicocca where he coordinates several research activities in the area of photo sharing and storage service, Internet of Things and Intelligent Vehicles within projects supported by both industry and public institutions.
Team member
Prof. Donatello Conte
MEMBER
Donatello Conte received, in 2006, his Ph.D. degree by a joint supervision between LIRIS laboratory of the INSA of Lyon (France) and MIVIA laboratory of the University of Salerno (Italy).

He received the Laurea degree in theoretical physics from the University of Torino, Italy, in 1985.

In 1986 he joined Olivetti Corporate Research, Ivrea, Italy,

From 1990 to 1992, he served as a chief researcher of the Computer Vision Lab at CRIAI, Naples, Italy.

 

From 1992 to 1994, he has held a Research Consultant position at Research Labs of Bull HN, Milano, Italy, leading projects on biomedical imaging and radiological information systems.

From 1994 to 2008 he has been with the Dipartimento di Ingegneria dell’Informazione e Ingegneria Elettrica of the University of Salerno as an Assistant Professor and since 2002 as an Associate Professor.

In 1998 he has been invited as a Visiting Researcher to the Center for Mapping Labs, at Ohio University , USA,  and in 2000 as a Visiting Scientist at the Research Institute for Multimedia Systems, University of Alberta, CANADA, working on information properties of images, in collaboration with Prof. Terry Caelli. In 2002 he was a Visiting Scientist at Prof. Larry Stark Labs, Department of Ophtalmology, University of Berkely, CA,  USA, and at the Institut fur Neuro-Bioinformatik, University of Luebeck, GERMANY  involved in research related to eye movements and gaze-control.  In 2014 he has been appointed  as Visiting Professor at the University of  Technology, Sidney, AUSTRALIA.  In 2017 he has been awarded  a  Honorary Appointment as  Chercheur Invité  at the RFAI-Laboratoire d’Informatique, Ecole Polytechnique de l’Université François-Rabelais de Tours, FRANCE

From 2002 to 2008  his research has been mainly carried on within the Natural Computation Lab (NCL, University of Salerno).

From October 2008  to  March 2012 he has been with the Dipartimento di Scienze dell’Informazione, University of Milano and then he has joined the new Dipartimento di Informatica (Dept. of Computer Science).  From 2014 to 2017 he has been the Vice-Chair of the School of Computer Science of the University of Milano and from 2014 to 2019 he has been Deputy Chair of the MS Curriculum in Computer Science.

Since 2015 he is the Director of  the Perceptual computing and Human SEnsing  (PHuSe) Lab.

Current research interests span the fields of affective computing,  computational vision, machine learning, epistemology of the artificial.  On these topics he has authored more than 100 papers in international refereed journals and conferences.

He is a member of the dell’Association for the Advancement of Affective Computing and CVPL (Italian chapter of the  IAPR), and  serves as Associate Editor of the Frontiers in Robotics and AI journal.

He has got the Italian National Academic Qualification as Full Professor of Computer Engineering (09/H1) in November 2020. In 2007, he received a Doctor of Philosophy degree (PhD) in Information Engineering from the University of Salerno (Italy) with a thesis focused on Computational Vision and Pattern Recognition.

In 2003, he received a Master’s degree in Telecommunications Engineering from the University of Naples Federico II, with a thesis focused on Transmission of Electromagnetic Fields. His current research interests focus on signal, image and video analysis and understanding, multimedia information processing and management and machine learning for multi-modal data classification and understanding.

He is author of more than 100 scientific publications on journals and international conferences indexed by Scopus and ISI Web of Knowledge. He is member of the Italian Association for Research in Computer Vision, Pattern recognition and Machine Learning (CVPL- ex-GIRPR) and of the Italian Association for Artificial Intelligence (AixIA).

He is Associate Editor of the Elsevier Neurocomputing, IET Signal Processing, MDPI Sensors Journal and MDPI Smart Cities Journal.

He has been an Assistant Professor from 2006 to 2013, in Italy at the University of Salerno. From 2013 to date, he is Associate Professor at the Computer Science Laboratory of the University of Tours.

He is currently head of the Computer Science Department at Polytech Tours School of Engineering.

Currently he is co-head of the RFAI team at the Computer Science Laboratory and he participates, as member and sometimes as local coordinator, to several regional projects on image and video analysis.

His main research fields are: structural pattern recognition (graph matching, graph kernels, combinatorial maps), video analysis (objects detection and tracking, trajectories analysis, behavioral analysis, etc.), and affective computing (emotion recognition, multimodality analysis for affective analysis, physiological measures by video analysis, etc.).

He is the author of more than 70 publications and reviewers in the main journals in his research field (PAMI, PR, CVIU, TIP, etc.). He is member of the Editorial Board of the Elsevier Journal Internet of Things, MDPI Journal of Imaging and he is Guest Editor for the Pattern Recognition Letters journal.

He has been co-chair of the International Workshop on Graph-basd Representation in Pattern Recognition (GbR2019) that was held in France in June 2019. He has been co-chair of the Video Processing for Human Behavioral Analysis (VP-HBA) Track at the 35th ACM Symposium on Applied Computing (SAC 2020).

Since 2016 he is member of the Governing Board of the French Association for Research in Technical Aids for the Disability (IFRATH). Since 2016 he is member of the Governing Board of the French Association for Pattern Recognition (AFRIF) and he has been association secretary since 2018. He is a member of the International IAPR Technical Committee #15 (dedicated to the promotion of graphs in the Pattern Recognition), for which he has just been appointed (February 2021) as chairman.

The purpose of the Committee

The Emotiva Scientific and Ethical Committee was officially constituted on March 8, 2021, to adhere to the 7 requirements for the ethical development of AI on which the European Union is currently working.

  • Human agency and oversight. The humancentric approach to AI strives to ensure that human values are always the primary consideration, and forces us to keep in mind that the development and use of AI should not be seen as a means in itself, but with the goal of increasing citizen’s wellbeing.
  • Technical robustness and safety. Trustworthy AI requires algorithms to be secure, reliable and robust enough to deal with errors or inconsistencies during all phases of AI systems. This will include ensuring there is a fall back plan in case something goes wrong as well as ensuring systems are accurate, reliable and reproducible.
  • Privacy and data governance. Individuals should have full control over their own data. Data concerning them will not be used to harm or discriminate against them.
  • Transparency. The traceability of AI systems should be ensured. The Guidelines are clear that humans need to be aware that they are interacting with an AI system, and must be informed of the system’s capabilities and limitations.
  • Diversity, non-discrimination and fairness. AI systems should consider the whole range of human abilities, skills and requirements, and should be available to all. Unfair bias should be avoided, as it could have multiple negative implications including the marginalization of vulnerable groups.
  • Societal and environmental well-being. AI systems should benefit all human beings and must be sustainable and environmentally friendly.
  • Accountability. Mechanisms should be put in place to ensure responsibility and accountability for AI systems and their outcomes. A key element of this will be the auditability of AI systems and adequate and accessible redress.
The activity of the committee
  • Oversees Emotiva’s developed work from a scientific and ethical point of view, providing opinions and evaluations;
  • Focuses on research projects;
  • Outlines scientific sharing activities such as conferences, congresses, other scientific committees and official government organizations.