Some useful intuitions if you care about your AI Safety career
Building an impactful AI safety career takes more than enthusiasm. It takes agency, reliability, demonstrable skills, and judgment to avoid the common traps that keep promising people stuck.
On Wednesday, 17 June, Safe AI Germany (SAIGE) is hosting Tzu Kit Chan, Chief of Staff at Atlas Computing, for 90 minutes of direct career intuitions for people serious about working in AI safety. It'll be roughly 45 minutes of experience&tips sharing + 45 minutes helping you debug your challenges.
What will be covered
How to be genuinely agentic
Building demonstrable skills and experience, especially as an undergrad or early-career person
Working backwards from impact: prioritisation, decision-making, and avoiding burnout
Reliability, judgment, and the unsexy fundamentals of earning impactful roles
Handling rejection, value drift, and how to stay on track
Speaker profile
Tzu Kit Chan is Chief of Staff at Atlas Computing, where he owns recruiting. Previously, he ran operations at Atlas Fellowship, MATS, and Epoch; led Stanford AI Alignment; and has seeded or mentored 40+ university AI safety groups. He also advises the Malaysian government on AGI safety. Across 50+ career conversations with AIS undergrads and organisers, Tzu has developed strong opinions, loosely held, about what actually works in building a career that matters. More about Tzu here.
Who should attend?
Anyone serious about building an AI safety career and ready to hear honest & direct advice, particularly undergraduates, early-career people, group organisers, and anyone trying to figure out how to move from "interested in AI safety" to "doing useful AI safety work." Come ready to think hard about your own path.