The conversation with Dan Zibel of Student Defense on The College Investor Audio Show explores how AI is reshaping the way colleges evaluate applicants and how institutions collect and use student information. In this interview, made public on 25/05/2026 07:15, Zibel lays out concerns about automated systems and the need for clearer safeguards around the collection and control of student data. The episode frames the debate in practical terms: what families should ask, how schools should disclose practices, and which policy tools could create accountability for automated decision-making.
At its core this discussion connects three themes: the technology powering admissions tools, the legal and ethical framework for data use, and the emerging policy responses such as the AI Bill of Rights. Zibel emphasizes that while algorithms can streamline processes, they also raise questions about fairness, consent, and long-term impacts on students. He argues that protecting student data rights requires both changes in institutional practice and stronger public rules that define acceptable uses of personal information in educational settings.
Why AI matters in college admissions
Automated systems and predictive models are becoming part of many admissions workflows, from resume screening to essay analysis, and that shift elevates the importance of understanding algorithmic decision-making. Zibel notes that when colleges adopt opaque tools, applicants may be evaluated by criteria they never saw, and those outcomes can affect opportunities for years. The efficiency gains promised by AI must be balanced against the risk of amplifying existing inequities if models rely on biased data or proxies for socioeconomic status. Transparency, auditing, and clear appeal processes are among the safeguards he recommends to ensure systems serve rather than harm students.
Potential harms and what to watch
Zibel points to specific risks, including unintended discrimination, hidden data pipelines, and the commercialization of student profiles. School vendors may retain or repurpose data, and applicants rarely have visibility into those flows. He stresses watching for signs of algorithmic bias, insufficient disclosure of automated uses, and business practices that monetize information without meaningful consent. For advocates and policymakers, the focus should be on requiring meaningful notice, independent testing of tools, and limits on secondary uses so that students do not become the unwitting product of opaque analytics.
The AI Bill of Rights and practical protections
The interview explores how the AI Bill of Rights concept could translate into concrete protections for learners, including rights to explanation, contestation, and control over data sharing. Zibel describes the framework as a set of principles that institutions can follow while regulators develop binding rules. He suggests that colleges adopt policies enabling informed consent for nonessential data collection, maintain records of algorithmic impact assessments, and provide clear channels for applicants to challenge automated decisions. Those steps would make use of automated tools more accountable and align practices with student expectations of privacy and fairness.
How students and families can protect themselves
Zibel offers actionable advice for prospective students and their families: ask admissions offices how applications are processed, request disclosures about vendors and data retention, and insist on human review when an automated tool affects outcomes. Keeping personal archives of application materials and communications creates a record that can be useful if questions arise. He also encourages engagement with campus governance and local policymakers to push for transparency and stronger rules. These tactics help individuals navigate the current landscape while collective advocacy pursues systemic reform.
Where the conversation goes next
As institutions continue integrating AI into admissions, Zibel argues that public debate and oversight must keep pace. The student data rights conversation is not only legal but also civic: it asks what kind of educational system we want. Listeners are encouraged to hear the full conversation on The College Investor Audio Show (published 25/05/2026 07:15) to get detailed examples and policy recommendations. Ultimately, the goal is a system where technology improves access and fairness without compromising the autonomy and privacy of learners.
