The AI4EU Web Café stages live sessions with experts on specific AI domain or areas of interests. The user finds below the list of upcoming and past Web Cafés related to AI which she or he can attend and interact with.

These Web Cafés are moderated and organized by one of the AI4EU Consortium partner, Carmen Mac Williams (Grassroots Arts).

For questions, comments and suggestions of new speakers and topics please contact the Web Café Manager Carmen Mac Williams: carmen[ a ]grassroots-arts.eu

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The upcoming AI4EU Web Café Session are:

On Feb 26th, 2020 at 3 pm

“Analysis of Gender Bias studies in Natural Language Processing"

The Speaker is:
Marta R. Costa-Jussa

(UPC, Research Visitor at the University of Edinburgh)


This is the link to register:
https://attendee.gotowebinar.com/register/2679631187989229067

What is Marta’s presentation about:

Demographic biases are widely affecting artificial intelligence. In particular, gender bias is clearly spread in natural language processing applications, e.g. from stereotyped translations to poorer speech recognition for women than for men. In this talk, I am going to overview the research and challenges that are currently emerging towards fairer natural language processing in terms of gender.

CV

RESEARCH IMPACT: SUMMARY

18/12/2019)

o 34 journal papers indexed in JCR/ISI

o 20 other journal papers

o 90 international conferences

o 4 books or chapters

Tauyou

Singapore & UK)

EDUCATION

2006 - 2012 Business administration degree, Universitat Oberta de Catalunya (UOC,Spain)

2004 - 2008 PhD. Universitat Politècnica de Catalunya (UPC, Spain)

2004 - 2007 MERIT European Master of Research on Information and Communication

Technologies, UPC

2002 - 2004 MELP European Master in Speech and Language Processing, UPC

1999 - 2004 Telecommunication Engineering degree, UPC

PROFESSIONAL EXPERIENCE

2015 - pres. MarieCurie (1 year) / Ramón y Cajal (3 years) Researcher*, UPC

Research Visitor at the University of Edinburgh (3 months)

2014 - 2015 Post-doc, Instituto Politécnico Nacional (IPN, Mexico) (18 months)

2012 - 2013 MarieCurie Researcher*, Institute for Infocomm Research (I2R, Singapore) (1year)

2009 - 2012 Juan de la Cierva Post-doc*, Barcelona Media Innovation Center (BM, Spain)

(3 years) FAPESP Visiting Prof*, Universidade de São Paulo (USP, Brazil) (8

months); AGAUR Agency for Management of University&Research Grants Postdoct*,

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Wednesday, on March 4th, 2020 at 3 pm:

 “AI and Education to fight with Bias? "

The Speaker is:
Moojan Asghari (Women in AI, Paris)

This is the link to register:
https://attendee.gotowebinar.com/register/8404193398186615053

Here is a short description of her live presentation:

How can a technology be the future without involving 50% of the population? AI is the future and without Women it will not achieve its goal which is to provide more personalised, precise and adapted solutions to everyone.

Join us on the discussion about the problem of Bias in AI and the importance of Education in AI to tackle the issue

CV of Moojan Asghari

Education

EDHEC Business School - Nice, France Sep-12 – Dec-15

Double Degree Master in Management / MSc in Corporate Finance & Banking

(Awarded EDHEC International Excellence scholarship)

Iran University of Science and Technology - Tehran, Iran Sep-07 – Jun-12

Bachelor of Applied Science, Industrial Engineering - Planning & Systems Analysis

(Ranked top 5% among more than 53,000 candidates in National University Entrance Examination)

Professional Experience

Women in AI (WAI), Paris, France (3 years) Jan-17 – Present

President and Co-founder

network of +3000 members across 100 countries, actively involved with WAI.

South Africa, Australia, Japan and several European countries.

entrepreneurs in AI), WaiSummit (an annual gathering of WAI network), AI4EU (as part of a consortium funded by

European Commission), WaiCamp (2-day workshop for teenagers)

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Wednesday, on March 11th, 2020 at 3 pm:

“The Publication Process and the AI resource catalogue of the AI4EU Platform”

The Speaker is:
Joachim Köhler (Fraunhofer IAIS in Sankt Augustin, Germany)

This is the link to register:
https://attendee.gotowebinar.com/register/471547956782651149

Description of of his live presentation

This presentation gives an overview the publication process and the catalogue of the AI4EU platform. One main service of the AI4EU platform is the catalogue of AI resources, which can be accessed by the users. The following types of AI resources are supported: data sets, AI models, docker containers, executables, and Jupyter notebooks. The presentation shows the concrete steps of the publication process. The AI resource provider has to enter required fields of metadata and information to publish an AI resource. This will be demonstrated and described in detail. Further, the search and navigation to find an AI resource will be shown. Finally, the presentation provides an outlook to the use of AI resources in the experimentation part of the AI4EU platform using the Acumos framework.

CV

Dr. Joachim Köhler (male) received his diploma and Dr.-Ing. degree in Communication Engineering from the RWTH Aachen and Munich University of Technology in 1992 and 2000, respectively. In 1993 he joined the Realization Group of ICSI in Berkeley where he investigated robust speech processing algorithms. From 1994 until 1999 he worked in the speech group of the research and development centre of the SIEMENS AG in Munich. The topic of his PhD thesis is multilingual speech recognition and acoustic phone modelling. Since June 1999 he is with Fraunhofer IAIS in Sankt Augustin and head of the department NetMedia. The research focus of NetMedia lies in the area of multimedia indexing and search methods and applications. His current research interests include pattern recognition, machine/deep learning, speech recognition, spoken document and multimedia retrieval and cloud-based multimedia information architectures. He was recently technical coordinator of the European IP-project Linked-TV. Now he acts as technical manager in the AI4EU project, building a European AI on-demand platform. Finally, he leads the SPEAKER project: A speech assistant platform – Made in Germany.

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Here you find the recordings of the past AI4EU Web Café Sessions:

On Oct 23rd Jean-Luc Dormoy (Hub IA) has presented the AI4EU Web Café session themed “Leveraging the impact of AI in Europe”

“The impact of AI is going to happen in all domains of human activity. To face this, we might need new ways of interacting and imagining solutions. For example, if existing business has to adapt, new business has to be favoured, and both should interact smoothly; or, society at large should be able to properly assess the benefits as well as potential threats of AI, and so to understand what it is all about; this will be a condition for a stable, democratic Europe.”

Here is the link to the recorded session 

On November 11st, 2019 at 3 pm (CEST) Michela Milano (University of Bologna) and Sonja Zillner (Siemens) presented “Strategic Research and Innovation Agenda of AI4EU” in the AI4EU Web Café:

“AI4EU has among its objectives the definition of a Strategic Research and Innovation agenda.This SRIA should focus mainly on how the platform can contribute to the achievement of a vision that we have for AI in Europe. The starting step in this process is the definition of a Vision Document which has been just released by the project and now it is open for discussion. this web cafe is intended to explain the structure and content of the document to foster discussion, that is supposed to be delivered next June.”

Here is the link to the recorded session

On Nov 13th, 2019 at 3 p.m. James L. Crowley (Univ. Grenoble-Alps and INRIA Grenoble Rhone-Alpes Research Center) made his presentation titled “Artificial Intelligence: a Rupture Technology for Innovation”.

The Turing test defines intelligence as human-level performance at interaction. After more than 50 years of research, Machine Learning has provided an enabling technology for constructing intelligent systems with abilities at or beyond human level for interaction with people, with systems, and with the world. This technology creates a fundamental rupture in the way we build systems, and in the kind of systems that can be built.

In this talk I will provide a review of recent progress in Machine Learning, and examine how these technologies change the kind of systems that we can build. Starting with a summary of the multi-layer perceptron and back propagation, I will describe how massive computing power combined with planetary scale data and advances in optimization theory have created the rupture technology known as deep learning. I will discuss common architectures and popular programming tools for building convolutional and recurrent neural networks, and review recent advances such as Generative Adversarial Networks and Deep Reinforcement Learning. I will examine how these technologies can be used to build realistic systems for vision, robotics, natural language understanding and conversation. I conclude with a discussion of open problems concerning explainable, verifiable, and trustworthy artificial systems. “

Here is the link to the recorded session

On Wednesday, November 20th, at 3 pm (CET) Pierre Pleven (TeraLab, Paris) presented a public AI4EU Web Café session themed: AI Opportunities and Challenges: Beyond Hype and Fears

Pierre Pleven addressED some hot & controversial AI topics :

Here is the link to the recorded session

On Wednesday, November 27th, at 3 pm (CEST) Philipp Slusallek (DFKI) presented a Web Café session themed "Understanding the World with AI: Training and Validating AI Systems using Synthetic Data”

The Speaker is: Philipp Slusallek (DFKI), Scientific Director and Site Director, German Research Centre for Artificial Intelligence (DFKI), Saarbrücken, Germany. 

Contact: philipp.slusallek@dfki.de

Here is the link to the recorded session

On Wednesday, Dec 11th, at 3 pm (CEST) Manuela Battaglini (Transparent Internet, Denmark) presented an AI4EU Web Café session themed “Transparency in automated decision-making processes and personal profiling”

Manuela Battaglini was joined by her Special Guest Steen Rasmussen (Transparent Internet, Denmark) to make the case for the main theme. 

Here is the link to the recorded session

On Wednesday, Dec 18th, at 3 pm (CEST), Catherine Tessier (Onera, the French Aerospace Lab) presented AI4EU Web Café session themed “Artificial Intelligence and Ethics”

Here is the link to the recorded session

On Jan 22nd, 2020 at 3 pm Miha Turšič (Waag, Amsterdam) presented the AI4EU Web Café session themed

“AI in a world of cross-over challenges”

Here the link to the recorded session:

https://attendee.gotowebinar.com/recording/6570954570876694018

On Jan 29th, 2020 at 3 pm, Mihai Datcu (DLR, Germany) presented the live AI4EU Web Café Session themed

"Earth Observation Big Data Challenges: the AI change of paradigm".

Here the link to the recorded session:

https://attendee.gotowebinar.com/recording/5730711083619976460

On Feb 5th 2020, at 3 pm, Huma Shah from Coventry University, UK presented the AI4EU Web Café Session themed

"Are non-diverse AI research and development teams risking bias in innovated algorithms and artefacts?"

Here is the link to the Recording

https://attendee.gotowebinar.com/recording/4550672323892120833

On Feb 19th, 2020 at 3 pm, Sebastian Steinbuß, the Lead Architect of the International Data Spaces Association IDSA (Germany) presented

“Data Sovereignty as a key enabler for AI in Europe"

What was Sebastian Steinbuß’s presentation about:

Data is the raw material for innovation. This is particularly true for three major areas that are of paramount importance in today’s digitalized world: artificial intelligence (AI), the internet of things (IoT), and big data. For data to unfold its full potential, it must be made available cross-platform, cross-company, cross-industry business ecosystems. The International Data Spaces Association with more than 100 members from industry and research aims at creating a secure and trusted data space, in which companies of any size and from any industry can manage their data assets in a sovereign fashion. This session will present the core ideas of the IDS Architecture and its benefits for AI.

CV

Sebastian Steinbuß worked for nine years at the Fraunhofer-Institute for Software and Systems Engineering in Dortmund as Scientist in the context of Cloud Computing, Big Data and IoT. Here, he gathered experiences regarding Digitization in Logistics and Service Industries. Since 2017 he is the Lead Architect of the International Data Spaces Association IDSA. Here he is responsible for the technical development of the IDS and the organization of the IDSA Working Groups.

Here is the link to the Recording

https://attendee.gotowebinar.com/recording/2513984263909072390