[visionlist] Free attendance of the 'AI Mellontology (futurology)' e-symposium 15/9/2021

Ioanna Koroni ioannakoroni at csd.auth.gr
Thu Sep 2 11:36:46 -04 2021

Dear AI researcher, scientist, engineer, student, enthusiast,


you are welcomed to attend the 'AI Mellontology (futurology)' e-symposium (https://event.ai4media.eu/ai-mellontology-e-symposium-2021) on 15/9/2021 for free. No registration is needed.


Horizon2020 AI flagship R&D projects: AI4Media <https://www.ai4media.eu/>  and ELISE <https://www.elise-ai.eu/> , together with the International AI Doctoral Academy (AIDA) <http://www.i-aida.org/>  joined forces in sponsoring this event. 

The program and the participation link are attached. More details on the panel topic descriptions can be found in the www page. 


There will be 3 AI science/technology sessions in the morning and 3 AI society / industry /  economy sessions in the afternoon.

Participants will debate the ‘AI future ’, namely hot AI research issues of any form on any scientific, societal, industrial/economic AI aspect. 

Session panelists will make their short statements during each panel to initiate discussion by the audience. 

Discussion will be informal, hopefully lively and hot aiming to debate contrasting views (thesis-antithesis) on each issue.


You are welcome to a) see panelist and other views and voice your own views on any panel topic, by using the ‘Voice your views’ area, b) propose your own AI grand challenge and c) actively participate in each panel discussion. 

The more innovative, futuristic, even provocative your views are, the better. The discussion will be conducted though in a scientific way and in good faith. 

The entire discussion and contributions will be compiled later on in a public ‘AI research white paper’ that will be used to guide R&D anywhere in the world, notably in the framework of AIDA and Horizon2020 ICT48 R&D projects.


Here are some notable panel topic examples: 

1.	Knowledge is the basis of our society, yet it is not formally quantified. How can we quantify knowledge, knowledge aggregation and transfer (education)?
2.	How can we build trustworthy and humanistic AI, while still advancing economic growth and competitiveness?


For any questions, you can contact the e-symposium secretary Mrs. Ioanna Koroni koroniioanna at csd.auth.gr <mailto:koroniioanna at csd.auth.gr>  (for organization matters) or Prof. Ioannis Pitas pitas at csd.auth.gr <mailto:pitas at csd.auth.gr>   (for scientific matters).


On behalf of the Organizing Committee 

Prof. Ioannis Pitas 

AI Mellontology e-symposium chair



AI Mellontology (futurology) e-symposium


Date: 15/9/2021

www page:  <https://event.ai4media.eu/ai-mellontology-e-symposium-2021> https://event.ai4media.eu/ai-mellontology-e-symposium-2021


Zoom link for free participation: https://authgr.zoom.us/j/96014032511



AI Mellontology (futurology) e-symposium Program 15/9/2021 


9:00-9:15 Opening (Prof. Ioannis Pitas)


Panel-initiated discussions

Scientific/technical panel topics (morning sessions 9:00-13:00 CEST, Coordinator: Prof. N. Cesa-Bianchi)

9:15-10:15 Dr. S. Papadopoulos and Dr. N. Sarris ‘Navigating Disinformation Landscapes within Synthetic Realities. AI a friend or a foe?’, Panelists: Prof. M. Bielikova, R. Fletcher, A. Følstad.

R. Tudor Ionescu.

10:15-11:15 Prof. N. Sebe, ‘New Learning Methods’, Panelists: Prof. A. Del Bimbo, Prof. C. Snoek, Prof. 11:15-11:45 Coffee break

11:45-12:45 Prof. I. Pitas, ‘Grand AI challenges’


Social panel topics (afternoon sessions 14:00-18:00 CEST, Coordinator: Dr. Ioannis Kompatsiaris, CERTH/ITI)

14:00-15:00 Prof. T. Tommasi, B. Caputo ‘Fairness Certification in AI’, Panelists: G. Bernini, M. Haataja, Prof. B. Nessler, Prof. T. Tommasi.
15:00-16:00 K. Heine ‘Legal Personality of AI’, Panelists: Prof. K. Heine; Dr. A. Quintavalla

16:00-16:30 Coffee break 

16:30-17:30 Prof. I. Pitas ‘AI Act and GDPR impact on European growth and competitiveness’, Panelists: E. Girardi, Prof. I. Pitas, S. Scalzo, Prof. P. Van Cleynenbreugel


17:30-18:00 AI Mellontology follow-up: AI white paper. AI challenges (all, Chair: Prof. Ioannis Pitas)




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