When should an agent ask for help?
I’m Vicky Feliren, an applied scientist interested in decisions under uncertainty. I study when an agent should act, gather more evidence, or ask for help.
Background
At Jakarta Smart City, I forecast municipal waste. Later, at GDP Labs, I built banking models. At Monash, I studied flood and mining maps from satellite images. Alongside this work, I help build Southeast Asian datasets with SEACrowd.
These settings shaped my interest in how uncertainty should influence a decision.
View the full CVResearch interests
Each choice an agent makes changes what it encounters next. Therefore, I want to study whether uncertainty estimates remain reliable across a whole task.
I’m interested in how changes in inputs, models, and error costs affect these decisions. I also want to test whether internal model signals help identify when an answer needs review.
See my work and next questionsEach choice changes the next decision.
A navigation agent reaches an unfamiliar junction.
Choose the agent’s next step.
- Act
The agent enters a corridor. Its next decision depends on what it sees there.
- Gather evidence
The agent inspects its surroundings. It gains more observations before choosing a corridor.
- Ask for help
The agent pauses for guidance. Its next decision uses the additional instruction.
Recent work · Updated September 2026
- I posted ENCP, a preprint on coverage guarantees across whole vision-language navigation routes.
- I contributed to CommonLID, a web benchmark for 109 languages published at ACL 2026.
- I presented my multilingual vision-language abstention study at AI Safety India's Hackathon Winners event.
Insights
View all writings →I write about how uncertainty estimates support decisions and when their assumptions fail. For example, the essay below asks when a model should withhold an answer.
Knowing when you don't know is the core safety property
When an agent should stop, gather evidence, or hand a decision back to a person.
Read the essay →
AI rules in SEA: the risks, the fines, what you need to know
Featured coverage of new AI rules, enforcement risks, and compliance duties across Southeast Asia.
Read in The Business Times →
Your model just killed someone's grandmother: Why every production ML needs conformal prediction
How conformal prediction can support model decisions, and which assumptions its guarantees require in production.
Read on Medium →
We all think our map is the territory
How ethnocentrism turns our own culture into an invisible default, and how global teams can work across several cultural views at once.
Read on Medium →
My initial exploration on Trustworthy AI
My first work in trustworthy AI, connecting information theory with responsible machine learning.
Read on Medium →Contact
My research direction is sequential decision making under uncertainty. I welcome collaborations on how agents act, defer, or gather evidence as conditions change. I am also open to applied scientist roles and speaking invitations.
Get in touch →