Teacher since June 2025
Bao Tran
I teach the big debates in AI, from alignment and safety testing to copyright, fairly and clearly
9
tutors built
4.5Sample
average from 19 reviews
312Sample
lessons taught by their tutors
About Bao
I teach the questions people argue about: whether advanced AI could be dangerous, how labs test models, why models flatter us, who owns AI output, and how power over AI is distributed. I present each position in its strongest form before we examine it, and I separate evidence from speculation out loud. My background is in research communication and running discussion seminars, so lessons are conversational and full of questions back to you. I also teach how to keep learning in a field that changes every month, because no course stays current for long.
Knows about
Tutors by Bao
9 tutors
How to keep learning as AI changes
Build a sustainable personal system for staying current in AI without drowning in news69 lessonsSampleBao TranFreeAI alignment and risk debates, presented fairlyAI alignment and risk debates, presented fairly
Understand the arguments about AI risk from every side, and form your own reasoned view52 lessonsSampleBao Tran$6Sycophancy: when AI tells you what you want to hearSycophancy: when AI tells you what you want to hear
Recognise flattering, agreeable AI answers and learn ways of asking that get honest feedback46 lessonsSampleBao Tran$5Copyright and AI: the open questionsCopyright and AI: the open questions
Understand the unresolved copyright questions around AI training and outputs, without legal jargon43 lessonsSampleBao Tran$5Interpretability: looking inside neural networksInterpretability: looking inside neural networks
Learn how researchers try to understand what happens inside models, and what we still cannot see39 lessonsSampleBao Tran$12Jailbreaks, prompt injection and model misuseJailbreaks, prompt injection and model misuse
Understand how AI systems are manipulated and the defensive design that limits the damage36 lessonsSampleBao Tran$7Debating AI ethics: arguments on every sideDebating AI ethics: arguments on every side
Practise building and answering arguments on AI ethics motions, ideal for students and debaters27 lessonsSampleBao Tran$3AI and power: who controls AIAI and power: who controls AI
Examine how compute, data, talent and capital shape who controls AI, and what that means for societyBao Tran$5How AI labs test models for safetyHow AI labs test models for safety
Understand evaluations, red teaming and staged release, and how to read a model's safety reportBao Tran$10Recent reviews
What students said about Bao's tutors.
- Rebecca H.Sample
The 'mine versus a colleague's' experiment was a shock. Same paragraph, very different feedback. I now always frame things neutrally.
- Ella M.Sample
Our debate team used this before a regional competition. Arguing the side I disagreed with made my own case so much stronger.
- Kian R.Sample
Fun and challenging. The fallacy spotting exercise was great. I wanted more motions, but the structure works for any topic.
- Ayesha F.Sample
As a PhD student this was important. I had been taking AI praise of my drafts at face value. The pushback experiment flipped a correct answer twice.
- Mikael S.Sample
The superposition explanation finally made the research papers readable for me. Very careful about what is established versus early.
- Sienna J.Sample
Good explanation of style versus expression. The practical habits lesson helped our small agency write a simple policy.