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seminarprogramm [2019/03/11 11:00]
scornet [Seminar: Ethical issues, law & novel applications of AI (MIE 630)]
seminarprogramm [2020/02/10 16:57]
payan
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 +====== Seminar 2019/2020: Ethical issues, law & novel applications of AI (MIE 630)======
  
-====== SeminarEthical issueslaw & novel applications of AI (MIE 630)======+On Tuesdays, 1:30 pm-3:00pm, Room Gilles Kahn or Sophie GermainAlan Turing Buidling.
  
-On Tuesdays2pm-3:30pmRoom Gilles Kahn or Sophie GermainAlan Turing Buidling.+  * September 17 - **From artificial intelligence to computational ethicsJean-Gabriel GanasciaSorbonne UniversityLip6, Chairman of the COMETS (CNRS Ethical Committee)** (Amhitheatre Gay Lussac), introduit par Marie-Paule Cani
  
-  ​ ​October 2 - **Toward Responsible and Safe AINozha BoujemaaDr Inriadirector ​of the DataIA institute (Data SciencesIntelligence & Society) ** (room Sophie Germain).+**Abstract**: With the development of artificial intelligenceit is now possible to design agents that are said autonomous in the sense that their behavior results from a chain of physical causalities from sensors acquisition of signals to action without any human contribution. There are many possible applications of such agentsfor instance in transportationwith autonomous cars, or in war, with autonomous weapons. Since human is not present in the loop, many fears the robots animated by such agents be predatory. In order to prevent unsafe behaviors, references to humane values have to be included in the agent programming. More technically,​ it means that engineers are now designing the equivalent ​of an "​ethical controller"​ to restrict ​the robot actions according to moral criteria. To do soit is necessary to encode different ethical systems, which gives birth to what is called “Computational Ethics”. At the light of the recent autonomous car accident that happened March 2018 in Arizona, we shall detail de different ethical dimensions that such a controller has to satisfy and the technical difficulties that artificial intelligence researchers who deal with computational ethics are facing.
  
-**Abstract**: AI technologies are essential for data-driven innovation ​and digital transformation in many socio-economic sectors. The scientific progress and deployment ​of AI are increasing sharplyHoweverseveral scientific ​and social challenges remainIn this presentationI will develop more specifically ​the challenges we are facing ​in developing responsible and human values centric AI.+**Bio**: Jean-Gabriel Ganascia is Professor of Computer Science at Sorbonne University, senior member of the Institut Universitaire de France, EurAI – European Association for Artificial Intelligence – fellow ​and member ​of the LIP6 (Laboratory of Computer Science of the Paris 6) where he heads the ACASA teamIn additionhe chairs the COMETS that is the Ethical Committee of the CNRS and he is member of the CERNA, i.e. the Ethical committee of the Digital Sciences of ALLISTENEwhich is the coordination of the French research institutes ​in computing.
  
-**Bio**: Nozha Boujemaa is a Senior Research Scientist at Inria (the French National Institute for computer science and applied mathematics)Director of DATAIA Institute (Data Sciences, Artificial Intelligence ​& Society). She is Member of the Board of Directors of Big Data Value AssociationVice-Chair of the AI High Level Expert Group of the European Commission ​and member of the OECD AI expert group. Nozha is International Advisor for Japanese Science and Technology Agency Program “Advanced Core Technologies for Big Data Integration”,​ Senior Scientific Advisor for “The AI Initiative“ ​(Harvard Kennedy School) and President of the Scientific Council of the Institute of Technological Research ​"SystemX"​. ​ Nozha is Knight of the National Order of Merit. Her domains of expertise are Machine Learning, Unsupervised ​Semi-supervised Learning, Large-scale Multimedia Retrieval, Content Search, Personalization,​ Pattern and Object Recognition,​ Computer Vision and Image Analysis, Transparency and Accountability of data and algorithms covering several application domainsNozha Boujemaa is the co-author of over 150 international publications and has supervised over 25 PhD students. PreviouslyAdvisor to the Chairman and CEO of Inria in Data Science with concern to the socio-economic impact, Director of Inria Saclay Research Center for 5 years (2010-2015) and Scientific Head of IMEDIA Research Group (Large Scale Multimedia Content Search) for more than 10 years.+  ​September 24 - **Ethical Issues in AIchatbots & robots - Laurence DevillersProfessor in Artificial Intelligence ​at Sorbonne UniversityResearcher at LIMSI-CNRS - France , Head of the team "​Affective ​and social dimensions in Spoken interaction with (ro)bots  : technological ​and ethical issues"  ​LIMSI Paris-Sorbonne University** (Room Grace Hopper ​2nd floor)introduit par Marie-Paule Cani
  
-  ​October 16 - **From artificial intelligence ​to computational ethicsJean-Gabriel GanasciaSorbonne UniversityLip6Chairman ​of the COMETS (CNRS Ethical Committee)** (room Sophie Germain)+**Abstract**: In a near future, socially assistive robotics/​chatbots aims to address some critical gaps in care by automating supervisioncoachingmotivationand companionship aspects of interactions with the elderlychildren, disabled people. Talk during social interactions naturally involves the exchange ​of propositional content but also and perhaps more importantly ​the expression of interpersonal relationships,​ as well as displays of emotion, affect, interest, etc. It is thus necessary that a bigger ethical thought is combined with the scientific and technological development of robots, to ensure the harmony and acceptability of their relation with the human beings. The new AI and Robotics applications in domains such as healthcare or education must be introduced in ways that build trust and understanding,​ and respect human and civil rights. ​
  
-**Abstract**: With the development ​of artificial intelligenceit is now possible to design agents that are said autonomous ​in the sense that their behavior results ​from a chain of physical causalities from sensors acquisition of signals to action without any human contributionThere are many possible applications of such agentsfor instance in transportationwith autonomous carsor in warwith autonomous weaponsSince human is not present in the loop, many fears the robots animated by such agents be predatory. In order to prevent unsafe behaviorsreferences to humane values have to be included in the agent programming. More technicallyit means that engineers are now designing ​the equivalent ​of an "​ethical controller"​ to restrict the robot actions according to moral criteriaTo do soit is necessary ​to encode different ethical systemswhich gives birth to what is called ​Computational Ethics”. At the light of the recent autonomous car accident that happened March 2018 in Arizonawe shall detail de different ethical dimensions that such a controller has to satisfy ​and the technical difficulties that artificial intelligence ​researchers who deal with computational ethics are facing.+**Bio**: Prof. Laurence Devillers  
 +Professor in Artificial Intelligence at Sorbonne University  
 +Researcher at LIMSI-CNRS - France  
 +Head of the team "​Affective and social dimensions in Spoken interaction with (ro)bots ​ : technological and ethical issues"​  
 + 
 +Prof. Laurence Devillers received her PhD degree in Computer Science from University Paris-Orsay,​ France, in 1992 and her HDR (habilitation dissertation) in Computer Science in 2006, “Emotion in interaction:​ Perception, detection and generation” ​from University Paris-Orsay,​ France  
 + 
 +Laurence Devillers is full Professor ​of Computer Sciences and Artificial Intelligence at Sorbonne University/ CNRS (LIMSI lab., Orsay) on affective RoboticsSpoken dialogMachine learningand EthicsShe is the author of more than 150 scientific publications (h-index: 35). In 2017she wrote the book “Des Robots et des Hommes : mythesfantasmes et réalité” (Plon, 2017) for explaining ​the urgence ​of building Social and Affective Robotic Systems with Ethics by design Since 2014she is member of the French Commission on the Ethics of Research in Digital Sciences and Technologies (CERNA) of Allistène and participated ​to several reports on Research Ethics on Robotics (2014) and Research Ethics on Machine learning. Since 2016she is involved in The IEEE Global Initiative for Ethical Considerations in the Design ​of Autonomous Systems” and the 7008 working group on “Standard for Ethically Driven Nudging for RoboticIntelligent ​and Autonomous Systems”. She is also involved in the DataIA institut (Orsay). She participated to the AiForHumanity Forum at the "​Collège de France"​ (https://​www.aiforhumanity.fr) when the AI report of Cedric Villani “For a meaningful ​artificial intelligence: Towards a French and European strategy” was published and the French President Emmanuel Macron presented his vision and strategy for France and Europe in Artificial Intelligence. She will participate in the "​Global Forum on AI for Humanity"​ on October 28 and 30 2019 in the Science Academy in Paris.
  
-**Bio**: Jean-Gabriel Ganascia is Professor of Computer Science at Sorbonne University, senior member of the Institut Universitaire de France, EurAI – European Association for Artificial Intelligence – fellow and member of the LIP6 (Laboratory of Computer Science of the Paris 6) where he heads the ACASA team. In addition, he chairs the COMETS that is the Ethical Committee of the CNRS and he is member of the CERNA, i.e. the Ethical committee of the Digital Sciences of ALLISTENE, which is the coordination of the French research institutes in computing. 
  
-  * October ​23 - **Facial recognition:​ from early methods to deep learning, Stéphane Gentric, Research unit manager, IDEMIA** (room Gilles Kahn)+  * October ​1st - **Facial recognition:​ from early methods to deep learning, Stéphane Gentric, Research unit manager, IDEMIA** (room Sophie Germain), introduit par Nicolas Donati &/or Magali Payan
  
 **Abstract**:​ 2D Face Recognition is one of the oldest computer vision application. As techniques improve, more complex databases arise, always leaving space for algorithm improvements. This lecture will review the whole face recognition pipeline, how early methods address the main issues and how Deep Learning handles them now. We will present major operational deployments and the most recent performances. Finally, we will discuss current limitations and future research avenues. **Abstract**:​ 2D Face Recognition is one of the oldest computer vision application. As techniques improve, more complex databases arise, always leaving space for algorithm improvements. This lecture will review the whole face recognition pipeline, how early methods address the main issues and how Deep Learning handles them now. We will present major operational deployments and the most recent performances. Finally, we will discuss current limitations and future research avenues.
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 **Bio**: Stéphane Gentric is Research Unit Manager at Idemia (ex-Morpho) and a Deep Learning lecturer at ESIEA and Telecom ParisTech. He received his PhD on Pattern Recognition at UPMC in 1999. As principal researcher then team leader, he worked on Fingerprint recognition algorithms, then Face, then Iris and now also Video Analytics. As Senior Expert, he was involved in most of Idemia’s projects in biometrics for the past 15 years, such as the Changi border crossing System as well as NIST benchmarks, or the UIDAI project. His current research interests center around pattern recognition for improvement of biometric systems. **Bio**: Stéphane Gentric is Research Unit Manager at Idemia (ex-Morpho) and a Deep Learning lecturer at ESIEA and Telecom ParisTech. He received his PhD on Pattern Recognition at UPMC in 1999. As principal researcher then team leader, he worked on Fingerprint recognition algorithms, then Face, then Iris and now also Video Analytics. As Senior Expert, he was involved in most of Idemia’s projects in biometrics for the past 15 years, such as the Changi border crossing System as well as NIST benchmarks, or the UIDAI project. His current research interests center around pattern recognition for improvement of biometric systems.
  
 +  * October 22 - **Augmenting bodies using AI : from human know-how to Computer Aided Design - François Faure, CEO Anatoscope.** (room Sophie Germain, introduit par Marie-Paule Cani).
  
-  ​November 13 - **Google'​s AI principlesLudovic PeranGoogle Paris** ​(room Sophie Germain)+**Abstract:** From walking sticks to bionic armspeople have always augmented their bodies with supplementary or replacement parts to improve their functioncomfort or aesthetics. ​ For optimal efficiency, ​ these must be personalized to precisely fit the body, and their design requires significant knowledge and skills on anatomy and mechanics. 
 +The Orthotics and Prosthetics ​(O&Pdomain has developed a large body of know-how to replicate body parts using plaster, design and sculpt shapes, and mold corresponding devices. This is applied to various body parts such as teeth, limbs, ears. 
 +Unfortunately,​ these techniques are empirical and operator-dependent. To improve precision, O&P increasingly uses digital imaging and design software. However, most of the current software essentially consist of digital sculpting toolboxes, therefore the design process remains virtually as empirical and operator-dependent as before. ​
  
-**Abstract**:​ The spread of powerful AI-based technologies in the recent years contributes to solve important problemshelps promote innovation and facilitates Google’s mission ​to organize ​the world’s informationBut these same technologies also raise important challenges when it comes to fairness, safety, privacy, or accountabilityGoogle is committed to address clearlythoughtfully, and affirmatively ​these challenges. This class will present in details Google’s core principles going through ​the different tensions between ​various ​principles. We will also detail our processes, tools and initiatives in the new and still exploratory field of responsible AI development.+In this talkwe present Anatoscope’s approach ​to tackle ​the challenge of precision in O&P. 
 +To really improve on Computer Assisted Design for O&P, we need to map the skills of good practitioners to numerical methods implemented in computersKnowledge can be  formulated using models and algorithmeswhile some skills are easily expressed as rules, and others are more easily described using examples. ​ Our artificial intelligence combines ​these paradigms ​through ​constrained optimizations solved using various ​strategies. We illustrate these using various examples of dental ​and orthopedic design.
  
-**Bio**: Ludovic is Public Policy Manager ​at Googlespecifically ​in charge of artificial intelligence policy issuesHe is a member ​of the OECD AI expert groups ​and a board member ​of the think tank Renaissance NumeriqueLudovic also teaches digital economics at ESCP business school ​and takes part in the work of various other think tanks around the issue of the impact of technology ​on societyLudovic received a Master of Science ​in quantitative economics from Paris School of Economics ​and a Master in Management from ESCP Europe.+**Bio:** François Faure, 49,  graduated in Mechanical Engineering ​at ENS Cachan in 1993and became a full university professor in Computer Science ​in Grenoble, 2011His research contributions range from the simulation ​of rigid and deformable solids, collision detection, to the computation ​of personalized models for medical simulationHe founded Anatoscope with four colleagues in 2015, and he has been fully focused ​on its development since thenIn three years the company has signed strategic partnerships ​in the dental ​and orthopedic domains, and grown to 40 employees.
  
-  * November 20 - **Unsupervised Learning on Homogeneous Manifolds, Lie groups and Structured Matrices based on Information Geometry and Souriau Lie Group Thermodynamics,​ Frederic Barbaresco, THALES** (room Sophie Germain) 
  
-**Abstract**: This talk deals with new applications based on extension of Machine Learning methods ​for data in Homogeneous ManifoldsLie groups and Structured Matrices based on Information GeometryStatistics on Metric space and Souriau Lie Group Thermodynamics that will be illustrated with Radar applications. Information Geometry has its origins in Maurice Fréchet’s works and his Clairaut equation. In this geometry, the metric is given by the Fisher matrix. Fisher'​s metric is a special case of Hessian metrics whose structures have been studied by the mathematician Jean-Louis Koszul. Jean-Marie Souriau extended Statistical Mechanics to dynamical systems by generalizing the notion of covariant Gibbs state related to the Hamiltonian actions of a Lie group on a Symplectic manifold. Extending Koszul model, we discovered that Souriau model made it possible to generalize Information Geometry for homogeneous manifolds by introducing a universal Souriau-Fisher metricinvariant under the action of the group acting on the manifold+  ​November 5 - **Social and Market Context ​for AI AdvancesHugo LoiGeneral Manager Pixminds** (room Sophie Germainintroduit par Damien Rohmer).
  
-**Bio**: Frédéric Barbaresco is representative at the Key Technology Domain PCC (ProcessingControl & Cognition) Board for Global Business Unit THALES LAND & AIR SYSTEMS. He is also Senior Expert at Advanced Radar Concepts Business Unit of THALES SURFACE RADAR Business Line. Frédéric Barbaresco is Co-Chairman of GSI “Geometric Science of Information” Conferences serie (https://​www.see.asso.fr/​GSI2019) ​and Editor ​of MDPI Entropy Books “Differential Geometrical Theory of Statistics” (https://​www.mdpi.com/​books/​pdfview/​book/​313) and “InformationEntropy ​and Their Geometric Structures” (https://​www.mdpi.com/​books/​pdfview/​book/​127). He is SEE Emeritus Member and President of SEE ISIC Club (Ingéniérie des Systèmes d’Information et de Communications)He was Awarded Aymé Poirson Prize 2014 of the French Academy of Sciences for Application of Science to Industry, SEE Ampère Medal 2009 and NATO Best Lecture Award 2010.+**Abstract:** As the computing tools to match and best human intelligence get bettera massive amount ​of real-world problems becomes accessible to artificial intelligenceStill, every and each one of us has been educated to have humans solve these problems, such as medical diagnosis and airplane pilotingAs a consequence,​ very few AI solutions will make it through ethicallegal, financial ​and market barriers before getting to the users in the next five yearsWhich ones? That is the question every AI entrepreneur wants to answerThis talk discusses 5 simple yet unsolved AI problems that could make it through ​the filters.
  
-{{ ::​master_intelligence_artificielle_ecole_polytechnique.pdf |}}+**Bio:** Hugo Loi holds an engineering degree from Ensimag and a PhD from Grenoble University. Hugo started his career in Computer Graphics at Inria, the French National Mapping Institute, the Walt Disney Company and Princeton University. In 2016 Hugo joined Lionel Chataignier for the creation of Pixminds, a gaming hardware corporation at the heart of the French Alps. Since then their work of transferring great tech into great products was awarded multiple times by various organisms such as the Consumer Electronics Show, the French Ministry of Interior, Bpifrance and the German Design Council.
  
-  * November 27 - **Law and ethics of autonomous robots, Nathalie NEVEJANS, Lecturer in Law, University of Artois (France)** (room Gilles Kahn). 
  
-**Abstract.** +  ​November 12 - **From Phd to Startup creation: Real-estate Market Transparency using AIAdrien Bernhardt, CTO Homiwoo** (room Sophie Germain, introduit par Marie-Paule Cani). ​
  
 +**Abstract:​** This presentation will mix a professional path, that include a Phd in computer graphics, 4 years in Criteo Data Science Team and the creation of a startup focussed on data science. The first part is dedicated to lessons from doing a Phd and working in a fast growing company like Criteo at the time it was growing fast, while the second part is dedicated to what we do at Homiwoo, how we do and side projects we have.
 +
 +**Bio:** Adrien Bernhardt is CTO and cofounder of Homiwoo, a startup focussed on doing data science to model the real estate market. Previously he worked 4 years at Criteo in the Machine Learning team where he had the opportunity to carry many tasks related to managing machine learning models used in production. He received a Phd in Computer Science from Grenoble University in 2011, done under the supervision of Professor Marie-Paule Cani.
 +
 +**Compagny:​** Homiwoo is a startup founded in 2017 focused on doing data science to model the real estate market. Our goal is to provide reliable and rich information to our customers, to help them in their decisions. ​
 +
 +  * November 19 - No seminar ​
 +
 +  * November 26 - 14:30-16:00 **Law and ethics of autonomous robots, Nathalie NEVEJANS, Lecturer in Law, University of Artois (France)** (room Gilles Kahn, introduit par Erwan Scornet).
 +
 +**Abstract.** ​
 In recent years, progress of robotics and artificial intelligence are prodigious. All the civil robotics (surgical robots, industrial robots, robots for elderly, services robots, …) and military robotics (war robots, war drones, …) renew the debates. However, the development of autonomous robotics will have an important impact in economics, social, legal and ethics terms. ​ In recent years, progress of robotics and artificial intelligence are prodigious. All the civil robotics (surgical robots, industrial robots, robots for elderly, services robots, …) and military robotics (war robots, war drones, …) renew the debates. However, the development of autonomous robotics will have an important impact in economics, social, legal and ethics terms. ​
  
 Autonomous robotics has drawn the attention of the European legislator, as it is shown by the European Resolution on European Civil Law Rules in Robotics of the 16 of February, 2017. However, this text, without any obligatory value, causes more difficulties than it solves. Indeed, it tends to deform the state‐of‐the‐art in robotics and to adopt a vision tinged with science fiction. Autonomous robotics has drawn the attention of the European legislator, as it is shown by the European Resolution on European Civil Law Rules in Robotics of the 16 of February, 2017. However, this text, without any obligatory value, causes more difficulties than it solves. Indeed, it tends to deform the state‐of‐the‐art in robotics and to adopt a vision tinged with science fiction.
  
-By limiting the reflection on the Law and the Ethics of the civil robots, we notice that they pose several difficulties very delicate as well as legal than ethical, especially: Should we grant legal status for autonomous robots? How to determine who is responsible for the damages caused by a robot?  How will ethical issues affect the whole civil society when using autonomous robots?+By limiting the reflection on the Law and the Ethics of the civil robots, we notice that they pose several difficulties very delicate as well as legal than ethical, especially: Should we grant legal status for autonomous robots? How to determine who is responsible for the damages caused by a robot? ​ How will ethical issues affect the whole civil society when using autonomous robots?
  
 It’s impossible to skip these debates today, because the European Commission have to adopt an European Directive in 2019 on autonomous robotics, which will have an compulsory value in European Union. It’s therefore essential that all these difficulties should be understood right now because of their inevitable impact on society, and on human being himself. It’s impossible to skip these debates today, because the European Commission have to adopt an European Directive in 2019 on autonomous robotics, which will have an compulsory value in European Union. It’s therefore essential that all these difficulties should be understood right now because of their inevitable impact on society, and on human being himself.
- 
  
 **Bio**: Nathalie Nevejans is a lecturer in private law at the University of Artois (France), authorized to direct research projects and a member of the CNRS Ethics Committee (COMETS). **Bio**: Nathalie Nevejans is a lecturer in private law at the University of Artois (France), authorized to direct research projects and a member of the CNRS Ethics Committee (COMETS).
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 {{ :​4-draft_report_on_civil_law_rules_on_robotics_2016.pdf |}} {{ :​4-draft_report_on_civil_law_rules_on_robotics_2016.pdf |}}
  
-  * December 4 - **Machine learning ojectives for individual fairness, Nicolas Usunier, Facebook** (room Sophie Germain) 
  
-**Abstract**: Machine learning is more and more widespread for decision making in scenarios where the decision have high impact on individuals lifes or on society. Algorithmic fairness aims at assessing whether the algorithms exhibit biases towards specific social groupstypically groups defined by gender or etchnicity protected by anti-discrimination laws, and preventing such biases. In this talkI will review the main frameworks of algorithmic fairness and some existing approaches to learn unbiased decision functions. In particular, I will focus on the criterion called individual and its variants. I will present a number of approaches to learn unbiased classifiers in this setting, bunilding on a relationship between learning fair decision functions and domain adaptationa field of machine learning which studies cases where the training data is not exactly representative of the target distribution+  ​December 10 - **Google AI principlesLudovic PeranPublic Policy ​and Government Affairs Manager- AIGoogle** (room Sophie Germainintroduit par Erwan Scornet)
  
-**Bio**: Nicolas Usunier joined Facebook as a Research Scientist ​in March 2015He received his PhD in Machine Learning from Université Pierre et Marie Curie, in Paris, in 2006. He was Associate Profesor there until 2012, when he joined Université de Technologie de Compiègne, in France, with a chair position from the “CNRS-Higher Education Chairs” program. His research interests include learning ​to rank, algorithms for tensor factorization, ​and learning with multiple objectives.+**Abstract:** Google'​s principles for the responsible use of AI and their application ​in engineering and research 
 +Using the What-If-Tool ​to inspect your models ​and detect equity issues.
  
 +**Bio:** Ludovic Péran is Product Manager in Google'​s Artificial Intelligence Research Department. He was previously responsible for institutional relations and public policies related to artificial intelligence at Google France. He is a lecturer at ESCP in the Master of Digital Innovation and a member of the OECD Expert Group on AI and the Board of Directors of the Digital Renaissance think tank. He is a graduate of ESCP and the Ecole d' Economie de Paris (master APE).
  
-  * January ​- **AI@Inria (Research ​in Artificial Intelligence at Inria)Bertrand BraunschweigInriadirector of Inria Saclay research center** (room Sophie Germain).+  * January ​- **Ethical questions ​in the biometrics industrySarah LannesResearch engineerIDEMIA** (room Sophie Germain, introduit par Marie-Paule Cani).
  
-**Abstract**: I will talk about the recent advances ​of AI, the current limitations ​and challenges that it is facing, and how Inria, ​the national ​research ​institute on computer science and applied mathematics,​ is addressing these challengeswill also shortly ​present the national strategy for research on AI, being in charge of its coordination.+**Abstract:** The rise of IA has brought many ethical questions to light in the public ​and legal spheres. However even before thisethics ​and legal matters have always been an intrinsic part of the biometrics field of research ​due to its very natureWe will present ​both the legal and technical challenges that we encounter and the solutions we propose.
  
-**Bio**:+**Bio:** Sarah Lannes has been a Research Engineer with Idemia for five years; her main focus is face detections and video analysis. She graduated from the Ecole Centrale de Lyon and Penn State University (MS) and went on to join Let it Wave as a research engineer focusing on image and video processing for a range of applications from geological exploration and satellite imaging ​ to deinterlacing and video super-resolution.
  
-Bertrand Braunschweig is ENSIIE engineer, PhD from Paris-Dauphine University and Habilitation from University ​of Paris VI. After a career as a researcher in systems dynamics and artificial intelligence in the petroleum industryhe joined IFP Energies Nouvelles to lead the research activities in AI and to coordinate international projects for defining interoperability standards for processes modeling and simulation.+  * January 14  ​**Thierry Rayna, Professor ​of Innovation Management? Ecole PolytechniqueAssessing ​the impact of A.I. on Business Model Innovation ** (room Sophie Germain, introduit par Erwan Scornet) 
  
-President of the French Association for Artificial Intelligence for four years, he joined the National Research Agency in 2006 as head of several research programmes ​and then from January 2009 as head of ANR’s ICT departmentHe then held the position ​of director ​of Inria Rennes - Bretagne Atlantique research centre ​for four years and was advisor to the president ​of Inria in the field of artificial intelligencebefore becoming director ​of Inria Saclay- Île de France research centre in early 2016Since December 2018, he is the coordinator ​of the research component ​of France’s AI plan.+**Abstract.** While technological innovation is generally seen as the pinnacle ​of competitiveness,​ market success is seldom achieved without business model innovation, ​and it could indeed be argued that technological and business model innovation are two sides of a same coinAs a matter ​of fact, numerous examples can be found of companies that had innovated technologically without adapting their business model and have, as a result, met their downfall. This is particularly the case for ‘emerging’ ​and ‘deep-tech’ technologies,​ where the use cases first envisaged are rarely those that eventually prevail. A.I., as an umbrella ​of heterogenous technologiesis certainly one of such technologies surrounded by myths and fantasyThe objective of this talk is first to shed a light on what business model innovation actually is and to present tools that can be used to anticipate impact ​of technologies on business models. This will be then used to discuss ​the expected impact ​of A.I. on business models.
  
-In 2016 he coordinated the preparation of Inria'​s white book on Artificial IntelligenceIn the beginning of 2017, he was co-ordinator of the “Industrialisation fo Research Results” working group of #FranceIA, the French national strategy in artificial intelligenceInria spokesperson on artificial intelligence,​ chairman of several AI projects selection panels, he regularly speaks about AI in the media and in scientific events.+**Bio:** https://www.polytechnique.edu/​annuaire/​fr/​user/​12853/​thierry.rayna#
  
-  * January 15 - **Ethical questions in the biometrics industry, Sarah Lannes, Research engineer, IDEMIA** (room Sophie Germain). 
  
-**Abstract:** The rise of IA has brought many ethical questions to light in the public and legal spheres. However even before thisethics and legal matters have always been an intrinsic part of the biometrics field of research due to its very nature. We will present both the legal and technical challenges that we encounter and the solutions we propose.+  ​January 21 - **Fighting blindness with bionic eyes, Vincent Bismuth, Pixium Vision** (room Sophie Germainintroduit par Erwan Scornet)
  
-**Bio:** Sarah Lannes ​has been a Research Engineer with Idemia for five years; her main focus is face detections and video analysisShe graduated from the Ecole Centrale de Lyon and Penn State University (MS) and went on to join Let it Wave as research engineer focusing ​on image and video processing ​for a range of applications from geological exploration ​and satellite imaging ​ to deinterlacing and video super-resolution.+**Abstract:** Restoring vision for the blind has long been considered ​science-fiction topicHowever, since two decades accelerating efforts in the field of visual prostheses have yielded significant progress ​and several hundred patients worldwide have received such devices, with various outcomes. This seminar will briefly present the field with special focus on the image processing ​side, providing an overview ​of the main approaches, limitations ​and results.
  
-  ​January 22 - **The future of AI Startups5 simple yet unsolved AI problems that are worth company. Hugo Loi, General ​ManagerArk Innovation** (room Sophie Germain).+**Bio:** Vincent Bismuth is leading ​career in the field of medical devicescentered on expertise in image processing. He spent 10+ years developing image and video processing algorithms for interventional Xray procedures at General ​Electric Healthcare before moving into a French start-upPixium Vision, that design vision restoration systems for the visually impaired. He recently moved to the mammography division of General Electric where he is leading image processing developments.
  
-**Abstract:** As the computing tools to match and best human intelligence get bettera massive amount of real-world problems becomes accessible to artificial intelligence. Stillevery and each one of us has been educated to have humans solve these problemssuch as medical diagnosis and airplane piloting. As a consequence,​ very few AI solutions will make it through ethical, legal, financial and market barriers before getting to the users in the next five years. Which ones? That is the question every AI entrepreneur wants to answer. This talk discusses 5 simple yet unsolved AI problems that could make it through the filters.+  ​January 28 - ** Transforming ​the digital customer journey with AIGonzalo Casajus ReyAI and Platforms Manager at Carrefour & Sylvain Marsault ** (room Sophie Germainintroduit par Erwan Scornet).
  
-**Bio:** Hugo Loi is originally a Computer Graphics man, with an engineering degree from Ensimag (2012) and a PhD from Grenoble University (2015). Hugo benefited from the education ​of a wide variety of great research labs and teams, including Inria as well as the French National Mapping Institute (France), the Walt Disney Company (Switzerland) and Princeton University (United States). In 2016 Hugo had the chance to join Lionel Chataignier at the creation ​of Pixminds, a gaming hardware corporation at the heart of the French Alps. This dive into the entrepreneurship world allowed Pixminds'​ team and Hugo to leverage the academic knowledge France is well-known for, and create high-potential devices such as Lexip (the world'​s most crowdfunded PC gaming mouse) and Arkube (giant touchscreens ​for homes and classrooms). Since then their work was awarded multiple times by various organisms such as the Consumer Electronics Show, the French Ministry of Interior, Bpifrance and the German Design Council.+**Abstract:**  
 +Food retail ​is one of the last sectors ​of commerce largely dominated by offline business-models ​and for which online ​and digital models must be invented.
  
 +The management of the product offering, the operations and the customer journey must be completely transformed to propose to the customer an enhanced digital experience.
  
-  * January 29 - **Fighting blindness ​with bionic eyes, Vincent Bismuth, Pixium Vision.** (room Sophie Germain).+Understanding and anticipating each customer event to better interact ​with him and offer him the expected content is the biggest challenge.
  
-**Abstract:​** Restoring vision for the blind has long been considered a science-fiction topic. However, since two decades accelerating efforts in the field of visual prostheses have yielded significant progress ​and several hundred patients worldwide have received ​such deviceswith various outcomes. This seminar will briefly present the field with a special focus on the image processing sideproviding an overview of the main approaches, limitations and results.+Massive collection of information and the use of ML and AI techniques ​such as Recurrent Neural NetworksImage or Voice Recognition systemsand conversational agents are the main levers of this transformation.
  
-**Bio:** Vincent Bismuth is leading a career in the field of medical devicescentered on expertise in image processing. He spent 10+ years developing image and video processing algorithms for interventional Xray procedures at General Electric Healthcare before moving into a French start-upPixium Vision, that design vision restoration systems for the visually impairedHe recently moved to the mammography division ​of General Electric where he is leading image processing developments.+During this presentation,​ you will discover how the DataLab ​of Carrefour activate these levers through the use of AI techniques such as conversational agentsrecommendation systems, personal ​and contextual search enginesand other ML servicesYou will dive into the main data and AI challenges ​of tomorrow in the retail industry
  
-  ​February 12 - **AI for health: challenges and opportunities - Jean-Philippe VertGoogle Paris.** (room Sophie Germain).+**Bio:** Gonzalo Casajus Rey is an engineer specializing in AI. For several yearshe has been in charge of transforming the digital journey at CarrefourHe worked on chatbots, vocal assistants, personalization of the customer experience, recommendation systems leveraging AI and ML algorithmsParallel to his career at Carrefour, Gonzalo is an active member of the data science community. He works for the chair and gives AI courses at the IE University of Madrid and the EOI of Madrid
  
-**Abstract:** The collection of large quantities of health data and progress ​in AI algorithms should give rise to new exciting applications in healthincluding better diagnosis and treatment decisions. In this talk I will illustrate through a few examples the opportunities and challenges in this fieldwhich concentrates huge scientificsocietal and economic interest.+  ​February 11 - ** Ethics ​in artificial intelligence,Issam Ibnouhsein Quantmetry,** (room Sophie Germainintroduit par Marie-Paule Cani).
  
-**Bio:** Jean-Philippe Vert is a senior researcher at Google Brain, and adjunct researcher at MINES ParisTech. His work is at the interface of machine learning and computational biology, focusing in particular on applications in cancer research and precision medicine. 
  
 +**Abstract**:​ Artificial intelligence developments are raising a wide variety of ethical questions, ranging from most practical ones such as decision-making for autonomous cars to epistemic ones about the ability of machine learning to massively serve as decision-aid. The goal of this session is to better understand how ethics and artificial intelligence overlap, and analyze the similarities and differences between classical procedures and machine learning ones. 
  
-  ​February 19 - **Is ethics computable? - Milad Doueihiphilosopher specialist ​of digital sciencesUniversité Paris-Sorbonne.** (room Sophie Germain).+**Bio**:Issam IbnouhseinHead of Research & Development at Quantmetryhas a PhD in quantum computing, worked as a data scientist and is now heading the research and development activities at Quantmetry
  
-**Bio:** Milad Doueihi, An accidental digitician. 
  
-**Abstract:​** The history of ethics and computing dates back at least to N Wiener’s God, Golem, Inc. From “Moral Machines”,​ “Machine Ethics”, to the current debates concerning various forms of “embedded ethics” and the impact of AI and data massification,​ it is perhaps pertinent to revisit the issue by examining the epistemological relations between computability and ethics in order to postulate a shared set of properties that support their claims to a form of “universality”. 
  
-  * March - **Augmenting bodies using AI : from human know-how to Computer Aided Design ​François FaureAnatoscope.** (room Sophie Germain).+  ​* February 25 - ** Leveraging ​ computer vision advances to address real-world challenges,​Jean-Baptiste Rouquier,​Senior Data scientist, Associate distinguished engineer ​ & Sébastien Ioos, Data scientist, FUJITSU ​ ** (room Sophie Germain, introduit par Marie-Paule Cani). 
 + 
 +**Abstract:​** “In the last years, deep learning applications have gained in popularity and drawn the attention of business leaders in all market segments. Deep neural networks performance in computer vision for object recognition,​ detection and segmentation,​ competing with human performance,​ has opened a new world of applications in a large variety of domains such as Retailing, Manufacturing,​ Security, Automotive, Energy and Healthcare. While deep learning is a hot topic in academic research, building real-world deep learning solutions suited to customer needs remains a difficult task which has to take into account the business specificities,​ the solution scalability,​ some ethics or legal concerns, and the potential risks related to algorithm mistakes. In this seminar, we will focus on solutions developed on top of object detection and multiple object tracking (MOT) to build computer vision systems that can be used to address various use cases developed at the Fujitsu Center of Excellence.” 
 + 
 +**Bio:**  
 +“Jean-Baptiste Rouquier graduated from École Normale Supérieure de Lyon and worked 6 years in academic research, on complex systems, complex networks and data science applications. He was then employed as an NLP researcher for a hedge fund, then software engineer for feature engineering at Criteo. He went to Dataiku to work as a data scientist, trainer, expert support and consultant, then in a mutual health insurance, before joining Fujitsu as senior data scientist for the creation of the AI Center of Excellence. He is a Fujitsu associate distinguished engineer.” 
 + 
 +“Sébastien IOOSS is graduated from Ecole Centrale Paris and National University of Singapore. He joined Fujitsu in 2017 at the creation of the AI Center of Excellence as data scientist specialized in computer vision and deep learning applications.”  
 + 
 + 
 +  ​* March - ** "AI EthicsPrinciples and beyond?",​ Véronique Magnier, Agrégée des facultés de droit, Professeur de Droit, Université Paris-Sud Saclay, Directeur de l'​Institut Droit Ethique Patrimoine ** (room Sophie Germain, introduit par Marie-Paule Cani). 
 + 
 +**Abstract:​** AI Ethics has become a global topic in policy and academic circles. It is now recognised that AI technologies offer opportunities for fostering human dignity and promoting human flourishing but may be associated with risks also. Hence, the major impact AI will have on society is no longer in question. Current debates turn instead on how far this impact will be positive or negative. This seminar examines the new pertinent questions, which is no more the one of whether AI will have an impact, but by whom, how, where, and when this positive or negative impact will be felt. From a legal perspective,​ these questions address the way national jurisdictions (should) offer a frame for AI activities, in a global context. So far, AI Ethics seems to converge on a set of principles. But can principles alone guarantee ethical AI? The seminar mainly questions the advantages and limits of an ethical approach to AI, questionning the legal methodologies associated 
 + 
 +**Bio:** PhD in Law and Sciences Po Paris, Véronique MAGNIER is Professor of Law at the Law school of Paris-Sud/​Paris-Saclay University. She is responsible for the Master’s degree in BusinessTax & Financial Market law and founded the Grande Ecole du Droit and the legal clinic of Paris-SaclayShe joined Georgetown University as an Adjunct Professor in 2010, where she teaches an annual course, “Comparative Coporate Governance” to LL.M. and JD students. 
 + 
 +Veronique Magnier is the Director of the Institute “Law, Ethics & Patrimony” at Paris-Sud/​Paris-Saclay University. She is the author or co-author of seminal books and articles in the areas of corporate Law and Corporate governance, Business and Ethics, European and comparative law, and Constitutional Civil Procedure. She is the co-author, with Prof. Michel Germain, of the treaty « Sociétés commerciales,​ Traité de Droit commercial par Ripert et Roblot » published by LGDJ. Her most recent publications include a monography entitled “Comparative corporate governance. A legal perspective”,​ edited by Edward Elgar publishing in 2017 (http://​www.e-elgar.com/​shop/​comparative-corporate-governance),​ and she co-authored a book entitled “Blockchain and company law” (Dalloz 2019). She is the Scientific Director of The Dalloz Encyclopedia for Corporate Law since 2003. 
 + 
 +Véronique Magnier is on the board of Transparency International France and an active member of various national, European or international associations or institutes (Trans Europe Experts, Société de Legislation comparée, European Corporate Governance Institute…).  
 + 
 + 
 +  * March 10 - **Big data approaches to brain imaging & applications in psychiatry, Bertrand Thirion,​Head of Parietal team, head of Dataia, Inria ** (room Sophie Germain, introduit par Nicolas Donati &/or Magali Payan). 
 + 
 +**Abstract:​** Population imaging consists in studying the characteristics of populations as measured by brain imaging. The transition to big data in this field has consisted in imaging and behavioral acquisition from larger cohorts and in the agglomeration of such datasets. An important question is whether the loss of homogeneity inherent to working on composite datasets is detrimental to prediction accuracy. We provide evidence that this is not the case: larger datasets utlimately provide more power for individual prediction and diagnosis. We also outline technical aspects of the work on large imaging datasets and benefits of challenges and collaborative work.   
 + 
 +**Bio:** Bertrand Thirion is the leader of the Parietal team, part of INRIA research institute, Saclay, France, that addresses the development of statistics and machine learning techniques for brain imaging. He contributes both algorithms and software, with a special focus on functional neuroimaging applications. He is involved in the Neurospin (CEA) neuroimaging center, one of the leading places on the use of high-field MRI for brain imaging. 
 +Bertrand Thirion is currently head of the DATAIA convergence institut 
 + 
 +===== Programm 2018-2019 ===== 
 + 
 +  * September 25 -  Introduction & Presentation of the "Cases studies",​ Marie-Paule Cani & Erwan Scornet 
 +  * October 2 - Toward Responsible and Safe AI, Nozha Boujemaa, Dr Inria, director of the DataIA institute (Data Sciences, Intelligence & Society) 
 +  * October 16 - From artificial intelligence to computational ethics, Jean-Gabriel Ganascia, Sorbonne University, Lip6, Chairman of the COMETS (CNRS Ethical Committee) 
 +  * October 23 - Facial recognition:​ from early methods to deep learning, Stéphane Gentrix, Research unit manager, IDEMIA 
 + 
 +  * November 13 - Google'​s AI principles, Ludovic Peran, Google Paris. 
 +  * November 20 - Unsupervised Learning on Homogeneous Manifolds, Lie groups and Structured Matrices based on Information Geometry and Souriau Lie Group Thermodynamics,​ Frederic Barbaresco, THALES 
 +  * November 27 - Law and ethics of autonomous robots, Nathalie NEVEJANS, Lecturer in Law, University of Artois (France)  
 +  * December 4  - Algorithmic fairness, Nicolas Usunier, Facebook. 
 + 
 +  * January 8  - AI@Inria (Research in Artificial Intelligence at Inria). Bertrand Braunschweig,​ Inria, director of Inria Saclay research center 
 +  * January 15 - Use of personal data and ethics: Vision & challenges from the industry, Sarah Lannes, Research engineer, IDEMIA 
 +  * January 22 - From data protection to data empowerment : how can humans keep the upper hand? Geoffrey DELCROIX, Direction des technologies et de l’innovation,​ CNIL 
 +  * January 29 - Fighting blindness with bionic eyes, Vincent Bismuth, Pixium Vision. 
 + 
 +  * February 12 - Kernel methods for genetics - Jean-Philippe Vert, Google Paris. 
 +  * February 19 - Is ethics computable? - Milad Doueihi, philosophe spécialiste du numérique, Université Paris-Sorbonne 
 +  * March 5 - Learning Prosthetics Design : Function, Shape, Style - François Faure, Anatoscope 
 +  * March 12 - Gender issues in AI, chatbots & robots - Laurence Devillers, LIMSI & Paris-Sorbonne University 
  
-**Abstract:​** From walking sticks to bionic arms, people have always augmented their bodies with supplementary or replacement parts to improve their function, comfort or aesthetics. ​ For optimal efficiency, ​ these must be personalized to precisely fit the body, and their design requires significant knowledge and skills on anatomy and mechanics. 
-The Orthotics and Prosthetics (O&P) domain has developed a large body of know-how to replicate body parts using plaster, design and sculpt shapes, and mold corresponding devices. This is applied to various body parts such as teeth, limbs, ears. 
-Unfortunately,​ these techniques are empirical and operator-dependent. To improve precision, O&P increasingly uses digital imaging and design software. However, most of the current software essentially consist of digital sculpting toolboxes, therefore the design process remains virtually as empirical and operator-dependent as before. ​ 
  
-In this talk, we present Anatoscope’s approach to tackle the challenge of precision in O&P. 
-To really improve on Computer Assisted Design for O&P, we need to map the skills of good practitioners to numerical methods implemented in computers. Knowledge can be  formulated using models and algorithmes,​ while some skills are easily expressed as rules, and others are more easily described using examples. ​ Our artificial intelligence combines these paradigms through constrained optimizations solved using various strategies. We illustrate these using various examples of dental and orthopedic design. 
  
-**Bio:** François Faure, 49,  graduated in Mechanical Engineering at ENS Cachan in 1993, and became a full university professor in Computer Science in Grenoble, 2011. His research contributions range from the simulation of rigid and deformable solids, collision detection, to the computation of personalized models for medical simulation. He founded Anatoscope with four colleagues in 2015, and he has been fully focused on its development since then. In three years the company has signed strategic partnerships in the dental and orthopedic domains, and grown to 40 employees. 
-  * March 12 - **Ethical Issues in AI, chatbots & robots - Laurence Devillers, LIMSI & Paris-Sorbonne University.** (CANCELLED).