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X-MS-Exchange-Transport-CrossTenantHeadersStripped: DB1PEPF000509E9.eurprd03.prod.outlook.com X-MS-Office365-Filtering-Correlation-Id-Prvs: c17c98fe-f7b4-44df-4cbd-08de9adc6fe4 acceptlanguage: en-GB, en-US X-OlkEid: 00000000836E40BCE6F45249A1B797D09F9B03A3070034AD76187591974DBF6C4F76951C873A010002000000000076B43CAF4FE03C4B91EDB916164078DF00000000572000006CA4C3AB50CADC46A4DBF3405AA54626 This is a multipart message in MIME format. ------=_NextPart_000_0019_01DCCCEF.09522260 Content-Type: multipart/alternative; boundary="----=_NextPart_001_001A_01DCCCEF.09522260" ------=_NextPart_001_001A_01DCCCEF.09522260 Content-Type: text/plain; charset="utf-8" Content-Transfer-Encoding: 8bit Dear Partners, Dear Friends, We would greatly appreciate it if you could circulate the following invitation among your colleagues and members to participate in a stakeholder consultation, which forms a key component of two major research initiatives supported by EIPA: the KNOW.THY.AI (Belgian Research Foundation - FNRS) and ALPINE (Action for Concerted Research Fund - Liège University) projects. Research Goals By developing interdisciplinary research at the intersection of procedural law, data science, and software engineering, the KNOW.THY.AI and ALPINE projects address a simple yet crucial procedural question concerning AI liability: As AI technologies become increasingly non-deterministic, producing outputs that cannot be reasonably foreseen, how can, or should, procedural law support individuals in accessing evidence of potential harms suffered and in establishing a causal link between those harms and AI technologies? To properly address this issue, we invite stakeholders - regulators, legal practitioners, academics, engineers, and judges - from EU Member States, as well as officials from the European Union (the European Commission and the Court of Justice of the European Union, CJEU) and the Council of Europe (including the European Court of Human Rights, ECtHR) to take part in this consultation. Access the questionnaire Consultation Details * Format: Online questionnaire. * Estimated time commitment: ~15-20 minutes. * Confidentiality: All contributions will be treated confidentially. Respondents will be anonymized and asked to share personal data in strict observance of the GDPR’s requirements on data minimization and the processing of personal data for the purpose of research. * Next steps: following the consultation, we will share a summary of findings and, based on those, are likely to organize additional rounds of discussion, in which you will be welcome to participate. How to Participate? To share your insights and opinions, please complete the questionnaire accessible directly via the connection link below. Please note that you will not be required to create an account. All responses are anonymous by default. You may save your answers and return to the questionnaire at your convenience before its final submission. Please note that only questions marked with a red asterisk are mandatory. We would be grateful if you could share this invitation within your networks and encourage interested colleagues to take part. Should you require any further information, please do not hesitate to contact Ms Sharon Okunrobo Perez s.okunrobo@uliege.be . Thank you very much for your support and collaboration. With kind regards, Elisa Dolci Elisa Dolci Project Management Officer - EIPA Luxembourg +352691108038 Mobile 8, Rue Nicolas Adames 1114 Luxembourg www.eipa.eu Stay updated on our activities View experts profile ------=_NextPart_001_001A_01DCCCEF.09522260 Content-Type: text/html; charset="utf-8" Content-Transfer-Encoding: quoted-printable

Dear Partners,
Dear Friends,=

=  

We would greatly appreciate it if you could circulate the = following invitation among your colleagues and members to participate in = a stakeholder consultation, which forms a key component of two major research = initiatives supported by EIPA: the KNOW.THY.AI (Belgian Research Foundation - FNRS) and = ALPINE (Action for Concerted Research Fund - Li=C3=A8ge = University) projects.

 

Research Goals

By developing interdisciplinary research at the = intersection of procedural law, data science, and software = engineering,=E2=80=82the KNOW.THY.AI and <= span style=3D"color:#96607D">ALPINE projects address a simple yet crucial procedural question = concerning AI liability:=

As AI technologies become = increasingly non-deterministic, producing outputs that cannot be = reasonably foreseen, how can, or should, procedural law support individuals in = accessing evidence of potential harms suffered and in establishing a = causal link between those harms and AI = technologies?

To properly address this issue, we invite stakeholders = - regulators, legal practitioners, academics, engineers, and judges - from EU Member States, as well as officials from the = European Union (the European Commission and the Court = of Justice of the European Union, CJEU) and the Council of Europe (including the European Court of = Human Rights, ECtHR) to take part in this = consultation.

Access the questionnaire

Consultation Details

  • Forma= t: = Online questionnaire.
  • Estim= ated time commitment:&nbs= p;~15-20 minutes.
  • Confi= dentiality: = All contributions will be treated confidentially. Respondents will be = anonymized and asked to share personal data in strict observance of the GDPR=E2=80=99s requirements on data = minimization and the processing of personal data for the purpose of = research.
  • Next = steps: = following the consultation, we will share a summary of findings and, = based on those, are likely to organize additional rounds of discussion, in which you will be welcome to = participate.

    How to Participate?
    To share your insights and opinions, please complete the questionnaire = accessible directly via the connection link below. 

Please note that you will not be required to create an account. All responses are = anonymous by default. You may save your answers and return to the = questionnaire at your convenience before its final = submission. =

Please note that only questions marked with a red asterisk are = mandatory.=

 

We would be grateful if you could share this invitation within = your networks and encourage interested colleagues to take part.

Should you require any further information, please do not = hesitate to contact Ms Sharon Okunrobo Perez s.okunrobo@uliege.be.=

Thank you very much for your support and = collaboration.

With kind regards,

Elisa Dolci =

 

 

Elisa = Dolci 

Project = Management Officer - EIPA Luxembourg

+3526911= 08038 Mobile

 

 

3D"Afbeelding

8, Rue = Nicolas Adames

1114 = Luxembourg

www.eipa= .eu

Stay updated on our activities &n= bsp;   

View experts profile

 &n= bsp;      &n= bsp;      &n= bsp; 

 

 

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