Fighting COVID19 with AI – How to build and deploy solutions we trust? – WS 14 2020: Difference between revisions

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== Format ==  
== Format ==  
Until <span class="dateline">11 May 2020</span>.
* Introduction by moderator
 
* Key speaker 1
Please try out new interactive formats. EuroDIG is about dialogue not about statements, presentations and speeches. Workshops should not be organised as a small plenary.
* Key speaker 2
* Key speaker 3
* Follow up questions from moderator
* Q & A with audience. Moderator facilitates discussion.
* Recommendations from speakers  - (to be included in the messages from the session)
* Q & A with audience. Moderator facilitates discussion
* Wrap up by moderator
* Reporter presents “messages” from the session. The messages from our session will be published in the “Messages from 2020”, which is the outcome of the EuroDIG. Please see attached email from the EuroDIG secretariat.


== Further reading ==  
== Further reading ==  

Revision as of 10:37, 12 June 2020

12 June 2020 | 14:30-16:00 | Studio The Hague | Live streaming | Live transcription | Forum
Consolidated programme 2020 overview / Day 2

Proposals: #52, #80, #82, #96, #160 (#76, #86, #106, #181)

You are invited to become a member of the session Org Team! By joining a Org Team you agree to that your name and affiliation will be published at the respective wiki page of the session for transparency reasons. Please subscribe to the mailing list to join the Org Team and answer the email that will be send to you requesting your confirmation of subscription.

Session teaser

The COVID-19 pandemic has resulted in an unprecedented situation which has called for unprecedented solutions, including a rapid development of applications based on Artificial Intelligence (AI) and data. These solutions are essential in tackling the pandemic, as applications can benefit treatment as well as generate a specific overview of the spread. However, these solutions could be introducing potential risks such as biases and privacy issues.

Such examples display the dilemmas surrounding the application of AI and data in general. The question is how to address these serious risks and to ensure the trustworthy use of AI and data, while reaping the benefits and opportunities stemming from the new technologies? This session aims at looking at the regulatory as well as non-regulatory toolbox for AI and data by discussing practical models and tools on how to ensure secure, ethical and trustworthy usage of AI and data without stifling innovation.

Session description

Across the globe, new AI solutions have been built and deployed in order to fight the COVID-19 pandemic – and more innovative solutions are being created, as we speak. These solutions can both benefit disease prevention, diagnosis and treatment and varies from spotting specific patterns in x-rays to tracking people diagnosed with COVID-19. However, such applications raise questions such as: Are the AI solutions able to take autonomous decisions? Are the AI solutions protecting existing rights and values, such as privacy and data ethics? Are results from AI safe and reproducible? Are the AI solutions trained on representative data in order not to discriminate?

These are extraordinary times which call for extraordinary measures, but the pandemic will surely also leave its mark on jobs, mobility, consumption patterns, markets, businesses etc., thereby giving way to new AI solutions in the long-term. As these solutions increasingly become a central part of our everyday life, the question is how to address the potential risks and challenges related to AI and instead build trust in innovative AI solutions.

Already before COVID-19, there was awareness of the challenges brought by AI, such as bias, transparency and privacy, which spurred the debate whether the race for AI should also include regulatory responses. While some intergovernmental institutions and countries are working on developing guidelines, others are drafting regulation. Experience within the regulatory landscape is still scarce and the technology is rapidly evolving - thereby, leaving a range of questions unresolved:

  • Which are the best tools in order to ensure trustworthy AI?
  • Which requirements for the development and deployment of AI should be instated?
  • How do we strike the right balance between trust and innovation?

These are some of the questions this session will touch upon in order to come one step closer to defining how the regulatory as well as non-regulatory toolbox can help ensure secure, ethical and trustworthy usage of AI and data without stifling innovation.

Format

  • Introduction by moderator
  • Key speaker 1
  • Key speaker 2
  • Key speaker 3
  • Follow up questions from moderator
  • Q & A with audience. Moderator facilitates discussion.
  • Recommendations from speakers - (to be included in the messages from the session)
  • Q & A with audience. Moderator facilitates discussion
  • Wrap up by moderator
  • Reporter presents “messages” from the session. The messages from our session will be published in the “Messages from 2020”, which is the outcome of the EuroDIG. Please see attached email from the EuroDIG secretariat.

Further reading

  • ITU AI/ML in 5G Challenge [1]

People

Until .

Please provide name and institution for all people you list here.

Focal Point

  • Julia Katja Wolman
  • Maria Danmark Nielsen

Organising Team (Org Team) List them here as they sign up.

  • Nadia Tjahja
  • Narine Khachatryan
  • Moritz Schleicher
  • Amali De Silva-Mitchell
  • André Melancia
  • Ashwini Sathnur
  • Marie-Noemie Marques
  • João Pedro Martins

Key Participants

  • Martin Ulbrich,DG CONNECT, European Commission, an economist by training, has joined the European Commission in 1995. Since 1997 he has been dealing with digital affairs, and in 2018 he moved to the unit dealing with artificial intelligence policy. The team is in charge of the AI White Paper process in the EC.
  • Mikael Jensen, CEO for the new Danish labelling scheme and seal for IT-security and responsible use of data, which is planned to launch by the end of 2020.
  • Dr. Sebastian Hallensleben, Head of Digitalisation and Artificial Intelligence, VDE/DKE Germany; Head of Practice Network Digital Technologies; Convenor of the international IEC SEG 10 “Ethics in Autonomous and Artificial Intelligence Applications”; Convenor of the European CEN-CENELEC AI Focus Group; VDE/DKE Representative in the IEEE OCEANIS initiative; Steering Board DIN/DKE Standardisation Roadmap AI

Has recently published the report ”From principles to practice – An interdisciplinary framework to operationalise AI ethics


Moderator Charlotte Holm Billund, The Danish ICT Industry Association. Charlotte is working with digitalization and new technologies, including AI, dataethics and green solutions.


Remote Moderator

Trained remote moderators will be assigned on the spot by the EuroDIG secretariat to each session.

Reporter

Reporters will be assigned by the EuroDIG secretariat in cooperation with the Geneva Internet Platform. The Reporter takes notes during the session and formulates 3 (max. 5) bullet points at the end of each session that:

  • are summarised on a slide and presented to the audience at the end of each session
  • relate to the particular session and to European Internet governance policy
  • are forward looking and propose goals and activities that can be initiated after EuroDIG (recommendations)
  • are in (rough) consensus with the audience

Current discussion, conference calls, schedules and minutes

See the discussion tab on the upper left side of this page. Please use this page to publish:

  • dates for virtual meetings or coordination calls
  • short summary of calls or email exchange

Please be as open and transparent as possible in order to allow others to get involved and contact you. Use the wiki not only as the place to publish results but also to summarize the discussion process.

Messages

A short summary of the session will be provided by the Reporter.

Video record

Will be provided here after the event.

Transcript

Will be provided here after the event.