Digital Clearinghouse 2.0, Education AI and Hiring AI

EDPS proposes a Digital Clearinghouse 2.0

What's New?

The European Data Protection Supervisor (EDPS) has proposed a Digital Clearinghouse 2.0: a forum where authorities that enforce EU laws in the digital economy can exchange views and align on policy and legal interpretation. The EDPS points to overlaps between the GDPR and the Digital Services Act, Digital Markets Act, Data Act and AI Act. This is a proposal: no such forum exists yet at EU level, and sharing information on live enforcement cases would likely need legislation that is not yet planned. See the EDPS page.

Why It Matters

The following is professional interpretation. Where several laws apply to the same data practice, regulators are being encouraged to read them consistently. A single AI system may therefore be assessed against the AI Act and the GDPR at the same time.

Recommended Action

Have privacy, security and AI governance leads work under one governance framework.

1EdTech starts a framework for AI in education

What's New?

The 1EdTech Consortium has announced a cross-sector collaboration, titled the K-20 Collaboration, to define how AI can support teaching and learning responsibly. The aim is a shared, open framework that gives AI models educational context while protecting learner and educator data. It builds on the Model Context Protocol and will run through 1EdTech Labs discussions and technical working groups. This is an industry initiative under development. No standard has been published, and nothing in it is a legal requirement. See the 1EdTech announcement.

Why It Matters

This is interpretation. EdTech vendors that handle student data should expect this work to shape what is asked of AI tools on privacy, security and transparency.

Recommended Action

Vendors may wish to follow the working groups. General privacy principles remain the minimum, and sector-specific ethical frameworks can be added on top.

Employ report: 65% of recruiters use AI

What's New?

Employ Inc. published its 2025 Recruiter Nation Report on October 15, 2025. Its summary states that 65% of recruiters already use AI in their workflows, and that they consider data privacy, human oversight and explainability when investing in it. See the Employ release.

Why It Matters

This is interpretation. Hiring decisions about individuals involve personal data and can affect a person's career. Data privacy, human oversight and explainability are the points a tool should be able to demonstrate.

Recommended Action

When selecting AI for HR, ask vendors for transparency reports and bias audits, and keep a human decision-maker in the process. For the engineering side of fairness testing, see why ethical AI is an engineering problem.