Students will explore what AI can potentially learn from speech: not just what someone says, but features such as pace, pauses, pitch, and voice quality. A hands-on activity will have teams examine anonymized/example speech features and decide whether they might be useful for detecting or monitoring conditions, then discuss privacy, bias, and whether they would trust such a system.
We live in a world where crimes involving computers are growing at an exponential pace. At this very moment, someone somewhere is trying to hack a financial institution, launch a ransomware attack, commit credit card fraud, access illegal websites, or spread hate speech online. The challenge the world faces today is how to detect, investigate, and respond to this rising wave of cybercrime. One of the most effective approaches is computer forensics.
In this workshop, you will:
Explore the end-to-end computer forensics process — from identifying and collecting digital traces, to analyzing evidence, to reporting findings.
Understand your role at each step of this process.
Unlock your inner Sherlock Holmes skills by working on a hands-on forensic investigation using industry-standard software tools.
