What is the hypothesis?
GDPR and how we handle data protection is not discussed in our courses enough or at all. There's gaps in how we talk about risks in security (SQL injection for example), and why GDPR matters or where it might be relevant in our work as engineers.
We need to discuss this in class to have well-rounded students. But where does this best lie in our curriculum?
Why is this important?
GDPR is more central than ever. And with use of Ai we are more at risk of accidentally opening up our work to vulnerabilities than we know. We should prepare students for the reality that their work has real-world implications when it comes to people's data and some common ways we might shore up our work against data leaks or risk.
What is the hypothesis?
GDPR and how we handle data protection is not discussed in our courses enough or at all. There's gaps in how we talk about risks in security (SQL injection for example), and why GDPR matters or where it might be relevant in our work as engineers.
We need to discuss this in class to have well-rounded students. But where does this best lie in our curriculum?
Why is this important?
GDPR is more central than ever. And with use of Ai we are more at risk of accidentally opening up our work to vulnerabilities than we know. We should prepare students for the reality that their work has real-world implications when it comes to people's data and some common ways we might shore up our work against data leaks or risk.