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Other literature type . 2023
License: CC BY
Data sources: ZENODO
ZENODO
Project deliverable . 2023
License: CC BY
Data sources: Datacite
ZENODO
Project deliverable . 2023
License: CC BY
Data sources: Datacite
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D5.1 Focus Group Recommendations for AI Risk Predictions

Authors: Karvounis, Manos;

D5.1 Focus Group Recommendations for AI Risk Predictions

Abstract

This deliverable report presents a comprehensive account of our initial project phase for task T5.1 within the EFRA project. Our primary objective was to leverage our world-class advisory board's expertise to explore the unique challenges and generate relevant recommendations for adopting AI-enabled food risk predictions, particularly within the novel domain of privacy-preserving federated AI learning. Our pursuit of high-quality recommendations led us to expand our original goal and engage in a more ambitious plan, consisting of two preparatory activities and a main event. The first preparatory activity was a targeted focus group involving two expert advisory board members and an industry leader. The focus group, published as a webinar, centered on state-of-the-art predictive analytics for food safety and encouraged expert feedback on the presented predictions, their perceived validity and usefulness, and suggestions for future enhancement. The second activity was an educational webinar aimed at the general public, designed to communicate the EFRA project's objectives and key innovations in a non-technical language. The main event was the "1st International Summit on Privacy-preserving AI for Food Risk Intelligence," organized by Agroknow. The summit included keynote presentations and a discussion panel followed by smaller focus groups exploring the summit's theme in detail. Our efforts culminated in numerous high-quality recommendations from experts across multiple domains, which will guide future EFRA work. The first activity also resulted in a pertinent white paper. Attendance statistics and public links to relevant content for all three events are included in this report. Key achievements of this phase include a large set of expert recommendations for future EFRA work, successful public education about predictive analytics in food safety, organization of a large summit that brought together experts to discuss the privacy-preserving AI paradigm and engagement of representatives from multiple EU projects during the summit for collaborative work. 

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
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