Q2 - What’s one takeaway or piece of advice that stood out to you — and why?

Q3 - After hearing from our alumnus, one thing I want to start doing or learning is...

Q2. What are the risks or dilemmas Singapore must consider before adopting more AI-driven mobility?

Q3 - What are some constraints that Singapore face when it comes to technology innovation and how can we overcome them?

Q2. Don’t procrastinate. Be proud of your choice and be proactive. make choices and stay firm to it

Q3.

- Stop procrastinating

- be more spontaneous (be optimistic and everything will work out) (quankai)

- to learn programming, don’t procrastinate (gabriel)

- focus on what you have, be determined and do what you have now well (felicity)

- don’t be afraid to try, just grab any opportunity, if it fails it fails (metta)

- have passion and believe in yourself, do everything with pride, if anything fails jsut try again (yushan)

- Don’t be afraid to try (huijun)

Q2)if you make a choice, do it confidently. if its a choice you made on your own, dont regret it

Q3) dont procrastinate

Q2personal privacy, personal information (where

you are going, tracetogether issue) how does the ai make decisions based on who to crash into (old person vs baby)

Q3)not enough policies that allows such level of automation

do we have the talent/natural resources to have this is singapore

• More scared of the road conditions (since the autonomous technology is still not mature yet)

• Structural changes and possible unemployment

Q2.

• Emissions and road congestions since have more autonomous vehicles on the road

• Sustainable development

Q3.

• Not enough and space to test out

• Small domestic market and cannot enjoy much economies of scale

• hard for the whole nation to adapt and learn how to use autonomous vehicles

• practical dilemma — once everyone learns how to drive, we still need to make sure people know how to drive, has everyone lost their ability to drive, if one day the system fails, then this skill is lost;

• ethical dilemma — that come with ai, making perfect decisions instantly, dealing with human instincts vs ai that makes perfect decisions; who is responsible?

• china having three different regulations

• are autonomous cars constantly taking in info and learning; collection of data and ethical issues