The "Job interview for AI" metaphor is useful @emollick.bsky.social but don't underestimate the importance of professionalizing the entire "hiring" process, including performing background checks and periodic performance appraisals. Read our full response here: www.linkedin.com/pulse/job-in...

#ResponsibleAI #AIEthics #AIAct #AIAudit #DataSchool

💬 P.S: For readers working in the Dutch context: we are looking for organizations who would like to participate in a one-year pilot (starting early 2026) to test our AI performance appraisal instrument in practice.
📩 Interested? Contact us at [email protected].

👉 𝗥𝗲𝗮𝗱 𝘁𝗵𝗲 𝗽𝘂𝗯𝗹𝗶𝗰𝗮𝘁𝗶𝗼𝗻 𝗵𝗲𝗿𝗲:
link.springer.com/article/10.1...

💡𝗪𝗵𝘆 𝗿𝗲𝗮𝗱 𝗶𝘁?
• Discover how a performance appraisal instrument may help your organization prepare for AI auditing.
• Join the conversation on utilizing performance appraisals for AI systems to comply with the AI Act’s documentation requirements.

💡𝗪𝗵𝘆 𝗿𝗲𝗮𝗱 𝗶𝘁?
• Critically engage with the proposal to develop performance appraisal instruments for AI systems.
• Learn more about one such assessment instrument for AI, developed by Data School, in co-creation with supervisory authorities RDI and NVWA.

The core idea: 𝘦𝘹 𝘢𝘯𝘵𝘦 assessments like the Fundamental Rights and Algorithms Impact Assessment (FRAIA) need to be supplemented with relatively light-weight iterative assessments in which the AI system’s functioning is periodically appraised in relation to the broader organizational context.

In their latest publication, published in AI & Society, Bart A. Kamphorst, Iris Muis, Julia Straatman, and Mirko Tobias Schäfer (@mtschaefer.bsky.social) argue that there is a need in practice for robust, periodic documentation procedures around AI systems – akin to maintaining personnel files.

Now that your AI system is running in production, how do you assess whether its functioning continues to align with your organization’s goals and values? And how do you ensure that the documentation around the AI system remains up-to-date and auditable?

And as these five voices remind us, this ethos ripples outwards and is carried into new roles, new institutions, and new futures.

👉 Read the full blog post on our website: dataschool.nl/en/alumni/

For us, this reaffirms what Data School has always stood for: not only investigating but shaping the digital society, together with stakeholders, across sectors, through hands-on engagement and mutual knowledge transfer that bridges academia and society.

🤝 Learning through actively working with, within, and alongside public sector organisations and being agents of change
✨ Finding clarity in their professional identities and the futures they want to pursue

💡 Being “thrown in at the deep end” and encouraged to take that crucial first leap of faith
🚀 Stepping outside comfort zones, yet having the freedom to explore, experiment, and learn by doing

Five former team members shared what stayed with them from their time at Data School:

🎓 PhDs, PostDocs, and lecturers in higher education and research
🏛 Policy advisors, data analysts, and digitalisation consultants in the public sector and government
📊 Advisors, marketeers, and social media specialists
🎨 Project managers in music & design, café owner, and other independent pursuits

👉 Direct aan de slag? DEDA is vrij beschikbaar via: deda.dataschool.nl