6️⃣ #KI ist aus dem Bewerbungsprozess oft nicht mehr wegzudenken.

Im Rahmen des Projektes #FINDHR haben verschiedene Organisationen (@algorithmwatch_ch, @Radboud_uni, @utrechtuniversity …) zusammen Empfehlungen für den Umgang damit ausgearbeitet, um #Fairness zu garantieren und #Diskriminierung zu vermeiden.

Und auch ein paar Tipps für Bewerber gesammelt. Danke!
https://dnip.ch/2025/11/18/dnip-briefing-50-zoelle-gut-alles-gut/#KI-im-Bewerbungsprozess

DNIP Briefing #50: Zölle gut, alles gut? - Das Netz ist politisch

Die Redaktion präsentiert jeden Dienstag die Geschichten, die sie bewegt, aufgerüttelt oder zum Nachdenken angeregt hat.

Das Netz ist politisch

#Discrimination through AI in recruitment is a lose-lose scenario that cannot be solved on a technical level alone. ☝️

In order to prevent discrimination by AI-based recruiting systems, we worked with an interdisciplinary European consortium from academia, industry, and civil society (#FINDHR) to develop solutions that counteract this type of discrimination and therefore developed specific recommendations for policymakers: https://findhr.eu/toolkit/policy-makers/

👾 If Python isn't a snake to you and Java isn't an Indonesian island, then pay attention! 👇

The use of AI-based software for personnel recruitment carries the risk of #discrimination. Even if this problem cannot be solved solely at the technical level, software developers have the power to reduce #AlgorithmicBiases in their systems. As part of the Horizon Europe project #FINDHR, we have developed concrete recommendations for developers: https://findhr.eu/toolkit/developers/

Do you work in HR and want to prevent #discrimination through #AI hiring tools? Your contribution is key! 🗝️

The increasing use of AI-based recruitment systems, #AlgorithmicHiring, promises to save time, but also carries risks. As part of the EU-Horizon Project #FINDHR, we’ve developed practical recommendations to help tackle #AlgorithmicBias in hiring.

For more recommendations, take a look at our FINDHR-Toolkit for HR professionals: https://findhr.eu/toolkit/hr-professionals/

As part of the EU Horizon Project #FINDHR, @algorithmwatch_ch has been working with an European consortium from academia, industry, and civil society to develop solutions to counter #AlgorithmicDiscrimination in hiring.

💢 This interdisciplinary approach is essential. Algorithmic discrimination does not arise solely at the technical level, nor can it be solved there alone. The social, cultural and political context in which a system is developed and used must also be taken into account.

🚨 We're hiring! UPF is seeking a consultant for a short-term assignment on exploitation and standardization plans in algorithmic hiring under the EU-funded #FINDHR project.
🗓️ Apply by May 18
📄 Details: https://euraxess.ec.europa.eu/jobs/funding/call-consultants-short-term-assignment-exploitation-and-standardization-plans
Call for consultants for short-term assignment on exploitation and standardization plans in algorithmic hiring

UPF is seeking an external consultant to provide support in carrying out and documenting the activities under the EU-funded project FINDHR (www.findhr.eu), GA nº 101070212, HORIZON-CL4-2021-HUMAN-01-24, specifically task

EURAXESS
Discover FINDHR's free course on AI in Recruitment! Learn about theories, real-life examples, and analyzing data. You can attend in person or online through Moodle. 80 spots have been taken, but there are still some left. Don't miss out! Sign up at https://findhr.unipi.it #AIRecruitment #FINDHR
FINDHR

Discover the free AI in Recruitment course by FINDHR! The course includes theoretical sessions, case studies, and data analysis. Available in-person and remote with blended learning via Moodle. Join us in Summer 2024. Enroll at https://findhr.unipi.it #AIRecruitment #FINDHR
FINDHR

Falls ihr euch generell für das Thema #Diskriminierung in #Bewerbungsverfahren interessiert, dann schaut doch mal bei "Fairness and Intersectional Non-Discrimination in Human Recommendation" kurz #FINDHR vorbei:

@findhr &
https://findhr.eu/

Findhr – Fairness and Intersectional Non-Discrimination in Human Recommendation