FACULTY OF ARTS AND SOCIAL SCIENCES

AI FUTURES AT FASS — BROWN BAG SESSIONS

3 September | 17 September  | 8 October | 5 November

12 - 1pm
FASS Research Division Seminar Room AS7 06-42 & Zoom

Thursday, 12 PM - 1PM

AS7 06-42 (FASS Research Division Seminar Room) & Zoom

Description
This Brown Bag Seminar series is a Provost’s initiative and organized with the generous support of the Dean’s Office. Its aim is to provide opportunities for faculty in the Humanities and Social Sciences to present their current research. It can also be a testbed for faculty to share their ideas on new or future research as well as teaching topics, areas, and methodologies. Not anchored in any specific discipline or methodology, this seminar series also seeks, on the one hand, to foster greater critical dialogues among faculty across disciplines, and on the other, to encourage faculty to develop a rhetoric that would give their research a wider or broader reach.

Format
For Semester 1 in AY2026/27, there are 4 sessions scheduled so far for 12pm on 3 & 17 September, 8 October, and 5 November. Kindly check this webpage for the latest updates on the upcoming sessions. Sessions will be held in-person at the FASS Research Division Seminar Room (AS7 06-42) and also on Zoom. In each session, two scholars will present about their current work in relation to AI for 10 minutes each, followed by 25-30 minutes Q&A. Each session should last no longer than 1 hour. Lunch will be provided, thus registration for each session is required.

*Faculty interested to present in future iterations of the Brown Bag series are invited to write to the organizers.

Registration
In the schedule below, click on the respective links to either 1) register for the in-person seminar or 2) register on Zoom.

Should you be unable to attend in-person due to unforeseen changes, please inform us early at fassresearchevents@nus.edu.sg. Regrettably, we encourage anyone who is unable to secure a seat in-person to join the seminar on Zoom.

Schedule for Semester 1, AY2026/27 (TBA)

  • AI Futures at FASS — Brown Bag Session #1

    A/P Kokil Jaidka and Dr Nick Huang

    Talk #1: "Telic Errors: Why VLMs Fail as Annotators of Harmful Content" (A/P Kokil Jaidka)
    Vision-language models now annotate sensitive content at scale, but standard pipelines measure only whether a model can identify what an image depicts, rarely testing whether it grasps what that content means to the affected community. This is a telic error: a surface-accurate annotation that erases the symbolic significance that makes content consequential. Across six open-weight VLMs and two datasets, we trace this failure to the annotation protocol itself. This gap indicates models possess relevant cultural knowledge, but standard prompts may not elicit them. Our five-type error taxonomy and dual-axis evaluation framework makes this failure measurable, and we argue for redesigning annotation protocols to elicit that knowledge.

    Talk #2: "Artificial Intelligence, genuine understanding? A perspective from human language" (Dr Nick Huang)
    Large Language Models have achieved impressive performance in many domains. Within linguistics, LLMs have been reported to show human-like "behaviour" and "knowledge": for example, they complete sentences in ways consistent with abstract grammatical rules. These findings invite the conclusion that with language, humans do some version of what LLMs do, with consequences for our understanding of how humans learn and use language. I argue for a more cautious view, drawing in part from general critiques of LLMs and my own work on the grammatical rules of wh-questions.

    In-person registration: Click here

    Zoom registration: Click here

Past Speakers

Organizers

Associate Professor Miguel Escobar Varela
Dept. of English, Linguistics and Theatre Studies
Contact: m.escobar@nus.edu.sg

Assistant Professor Morar Florin-Stefan
Dept. of History
Contact: morar@nus.edu.sg

Have any questions or enquiries?

Contact us at fassresearchevents@nus.edu.sg

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