Promoting a sustainable, inclusive and comprehensive
framework for the use of AI that delivers global benefit.

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How is the Responsible AI Forum handling COVID-19? Responsibly.

Dear all,

 The health and safety of our team, colleagues, guest speakers and participants coming from all over the world is our highest priority.

 After careful consideration and close consultation with our event partner (INTERPLAN) and in the light of the ongoing COVID-19 developments, we have decided to reschedule The Responsible AI Forum 2020 (TRAIF), initially scheduled to take place in Munich this November.

We are very happy to announce the exact dates:
TRAIF will take place from 07 – 09 June 2021 in Munich at the Holiday Inn Munich City Centre.

 Rescheduling TRAIF is the only responsible course of action at this time. Moving our event by a few months will enable us to bring together more members of academia, civil society, government and industry. Our aim is to create a safe environment where all players in the field of AI can meet and discuss the most relevant and pressing issues related to the responsible use of AI through shared stories, cutting edge research and practical applications.

Please note that we have extended the deadline for abstract-submissions and the sale of early-bird tickets to 31 January 2021. For those already registered, we would like to inform you that your registration will automatically be transferred to the rescheduled event.

 If you have questions regarding TRAIF (e.g. registration, abstract submission, how to obtain a refund if you are unable to attend, accommodation, etc.), please contact us and we will be happy to assist you (ai-forum@interplan.de).

Last but not least, our team is currently working on a sneak peek event scheduled for mid-November. More information: https://ieai.mcts.tum.de/event/traif-preview/ 

Stay healthy and safe.

Sincerely,  
The IEAI & INTERPLAN team

A sneak peek into how the IEAI and its partners are promoting a sustainable, inclusive and comprehensive
framework for the use of AI that delivers global benefit.

More Information
Speakers

Manuel Garcia Herranz

UNICEF
Dr. Manuel García-Herranz is Chief Scientist at UNICEF’s Office of Innovation and ICT’s Big Data, Data Science and AI initiative. At UNICEF he focuses on bridging the gap between Data Science and the most vulnerable, exploring how to apply Big Data, Complex Systems theory, and Artificial Intelligence to help the most deprived and invisible. Fields of application include growing humanitarian problems such as epidemics, natural disasters, and migration as well as transversal issues such as poverty, data representativeness and algorithmic equity. Manuel holds a PhD in computer science from the Universidad Autonoma de Madrid.

Celia Cintas

IBM Research - Africa
Dr Celia Cintas is a Research Scientist at IBM Research Africa - Nairobi, Kenya. She is a member of the AI Science team at the Kenya Lab. Her current research focus on improvement of ML techniques to address challenges on Global Health in developing countries. Previously, grantee from National Scientific and Technical Research Council (CONICET) working on Deep Learning and Geometrics Morphometrics for populations studies at IPCSH-CONICET (Argentina) as part of the Consortium for Analysis of the Diversity and Evolution of Latin America (CANDELA). During her PhD she was a visitor researcher at University College of London (UK).

Nathalie Munyampenda

Next Einstein Forum
Nathalie Munyampenda is the Managing Director of the Next Einstein Forum (NEF), an initiative of the African Institute for Mathematical Sciences (AIMS). The NEF is driving Africa’s scientific agenda through the premier science and innovation conference as well as providing key foresight to African governments and businesses on how to prepare the Fourth Industrial Revolution. Nathalie is Editor-in-chief of the NEF’s public magazine, Scientific African Magazine. Nathalie is a passionate advocate for science-driven innovation and tech transfer as a means for industrialization and job creation in Africa.

Stefaan Verhulst

GovLab
Stefaan G. Verhulst is Co-Founder and Chief Research and Development Officer of the Governance Laboratory @NYU (GovLab) where he is responsible for building a research foundation on how to transform governance using advances in science and technology. He is the Curator and Editor of the Living Library and The Digest. Verhulst’s latest scholarship centers on how technology can improve people’s lives and the creation of more effective and collaborative forms of governance. Specifically, he is interested in the perils and promise of collaborative technologies and how to harness the unprecedented volume of information to advance the public good.
See more speakers
Speakers

Manuel Garcia Herranz

UNICEF
Dr. Manuel García-Herranz is Chief Scientist at UNICEF’s Office of Innovation and ICT’s Big Data, Data Science and AI initiative. At UNICEF he focuses on bridging the gap between Data Science and the most vulnerable, exploring how to apply Big Data, Complex Systems theory, and Artificial Intelligence to help the most deprived and invisible. Fields of application include growing humanitarian problems such as epidemics, natural disasters, and migration as well as transversal issues such as poverty, data representativeness and algorithmic equity. Manuel holds a PhD in computer science from the Universidad Autonoma de Madrid.

Celia Cintas

IBM Research - Africa
Dr Celia Cintas is a Research Scientist at IBM Research Africa - Nairobi, Kenya. She is a member of the AI Science team at the Kenya Lab. Her current research focus on improvement of ML techniques to address challenges on Global Health in developing countries. Previously, grantee from National Scientific and Technical Research Council (CONICET) working on Deep Learning and Geometrics Morphometrics for populations studies at IPCSH-CONICET (Argentina) as part of the Consortium for Analysis of the Diversity and Evolution of Latin America (CANDELA). During her PhD she was a visitor researcher at University College of London (UK).

Nathalie Munyampenda

Next Einstein Forum
Nathalie Munyampenda is the Managing Director of the Next Einstein Forum (NEF), an initiative of the African Institute for Mathematical Sciences (AIMS). The NEF is driving Africa’s scientific agenda through the premier science and innovation conference as well as providing key foresight to African governments and businesses on how to prepare the Fourth Industrial Revolution. Nathalie is Editor-in-chief of the NEF’s public magazine, Scientific African Magazine. Nathalie is a passionate advocate for science-driven innovation and tech transfer as a means for industrialization and job creation in Africa.

Stefaan Verhulst

GovLab
Stefaan G. Verhulst is Co-Founder and Chief Research and Development Officer of the Governance Laboratory @NYU (GovLab) where he is responsible for building a research foundation on how to transform governance using advances in science and technology. He is the Curator and Editor of the Living Library and The Digest. Verhulst’s latest scholarship centers on how technology can improve people’s lives and the creation of more effective and collaborative forms of governance. Specifically, he is interested in the perils and promise of collaborative technologies and how to harness the unprecedented volume of information to advance the public good.
See more speakers
Speakers

Manuel Garcia Herranz

UNICEF
Dr. Manuel García-Herranz is Chief Scientist at UNICEF’s Office of Innovation and ICT’s Big Data, Data Science and AI initiative. At UNICEF he focuses on bridging the gap between Data Science and the most vulnerable, exploring how to apply Big Data, Complex Systems theory, and Artificial Intelligence to help the most deprived and invisible. Fields of application include growing humanitarian problems such as epidemics, natural disasters, and migration as well as transversal issues such as poverty, data representativeness and algorithmic equity. Manuel holds a PhD in computer science from the Universidad Autonoma de Madrid.

Celia Cintas

IBM Research - Africa
Dr Celia Cintas is a Research Scientist at IBM Research Africa - Nairobi, Kenya. She is a member of the AI Science team at the Kenya Lab. Her current research focus on improvement of ML techniques to address challenges on Global Health in developing countries. Previously, grantee from National Scientific and Technical Research Council (CONICET) working on Deep Learning and Geometrics Morphometrics for populations studies at IPCSH-CONICET (Argentina) as part of the Consortium for Analysis of the Diversity and Evolution of Latin America (CANDELA). During her PhD she was a visitor researcher at University College of London (UK).

Nathalie Munyampenda

Next Einstein Forum
Nathalie Munyampenda is the Managing Director of the Next Einstein Forum (NEF), an initiative of the African Institute for Mathematical Sciences (AIMS). The NEF is driving Africa’s scientific agenda through the premier science and innovation conference as well as providing key foresight to African governments and businesses on how to prepare the Fourth Industrial Revolution. Nathalie is Editor-in-chief of the NEF’s public magazine, Scientific African Magazine. Nathalie is a passionate advocate for science-driven innovation and tech transfer as a means for industrialization and job creation in Africa.

Stefaan Verhulst

GovLab
Stefaan G. Verhulst is Co-Founder and Chief Research and Development Officer of the Governance Laboratory @NYU (GovLab) where he is responsible for building a research foundation on how to transform governance using advances in science and technology. He is the Curator and Editor of the Living Library and The Digest. Verhulst’s latest scholarship centers on how technology can improve people’s lives and the creation of more effective and collaborative forms of governance. Specifically, he is interested in the perils and promise of collaborative technologies and how to harness the unprecedented volume of information to advance the public good.
See more speakers

Why attend?

TRAIF2021 is your chance to:

  • Discuss the most relevant and pressing issues relating to responsible AI
  • Connect with other experts
  • Share stories, research & practical applications
  • Help create a sustainable, inclusive and comprehensive framework for AI
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Showcase your work!

Submit proposals to:

  • Present your research
  • Workshop your company‘s ideas
  • Organise roundtables to discuss issues
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  • Share your vision of responsible,
    human-centred AI
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Venue

Holiday Inn Munich City Centre
Hochstr. 3
81669 Munich
T: +49 89 4803-0
https://www.hi-hotel-muenchen.de